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IODE-XXV Posters

It will be possible to display posters on IODE related projects and activities. Posters will remain on display between 18 and 22 February but will be presented mainly on Monday 18 February (coffee break 16h00-16h30), Tuesday 19 February (10h30-11h00 and 16h00-16h30). During these times the authors are requested to stand next to their poster to provide information to IODE participants.

he list of expected posters is included below. Underlined names indicate presenter(s). 

Last update: 15 February 2019

Posters

    1. The World Ocean Database: Synthesis of past and present ocean profile data for global and regional studies (WOD)
      • Authors: T. P. Boyer, O. K. Baranova, H. E. Garcia, A. Grodsky, R. A. Locarnini, A. V. Mishonov, C. R. Paver, J. R. Reagan, D. Seidov, I. Smolyar, K. Weathers, and M. M. Zweng

    2. The Global Oceanographic Data Archaeology and Rescue Project: Bringing valuable ocean profile data back to the public (GODAR) 
      • Author:  T.P. Boyer, O. K. Baranova, H. E. Garcia, A. Grodsky, R. A. Locarnini, A. V. Mishonov, C. R. Paver, J. R. Reagan, D. Seidov, I. Smolyar, K. Weathers, and M. M. Zweng

    3. The International Quality controlled Oceanographic Database: IQuOD v0.1
      • Author: T.P Boyer, on behalf of the IQuOD Project Team (including SCOR working group 148 and IOC/IODE SG-IQuOD)

    4. IODE International Coastal Atlas Network (ICAN)
      • Author: Tanya Haddad

    5. IODE GOSUD
      • Author: Loic Petit de la Villéon

    6. Building a portal for marine biodiversity information around Japan: activities as an Asian node of OBIS
       Author(s): Takashi Hosono, Katsunori Fujikura, Naoto Higa, Hideaki Saito, Tsukane Yamauchi, Akira Sonoda

    7. Ocean Best Practices System: knowledge exchange for practitioners
      Authors: Jay Pearlman, Pauline Simpson, Mark Bushnell, Pier Luigi Buttigieg, Juliet Hermes, Emma Heslop, Johannes Karstensen, Frank Muller-Karger, Cristian Muñoz, Francoise Pearlman, Peter Pissierssens.

    8. ETDMP support to IODE and JCOMM data management
      • Authors: Alessandra GIORGETTI, Clousa MAUEUA CHEVANE, Denis MELNIKOV, Anna MILAN,  Paul OLOO,  Tobias SPEARS, Toru SUZUKI, Elena TEL, Yue XINYANG

    9. The Marine Climate Data System: Structuring the flow of oceanographic and marine meteorological data for the global community
      Authors: T.P Boyer on behalf of the Joint World Meteorological (WMO) and Intergovernmental Oceanographic Committee (IOC) Committee on Oceanography and Marine Meteorology (JCOMM) Expert Team on Marine Climatology (ETMC)

    10. The JCOMM Observations Coordination Group: Integrating Data and Information from a Global Array of Ocean Platforms
      • Authors: Kevin O’Brien, David Legler, Emma Heslop, Jon Turton, Juliet Hermes, Mathieu Belbeoch, Champika Gallage, Shelby Brunner, Albert Fischer 
    11. The Ocean Tracking Network and Canadian Partnerships, CIOOS and MERIDIAN
      • Author(s) – Lenore Bajona, Ines Hessler, Anja Samardzic, Mike Smit

    12. WMO: WMO Information System 2.0 Strategy  
      • Author: Peiliang Shi

    13. EMODnet: Your gateway to marine data in Europe
      • Authors: Jan-Bart Calewaert and Andrée-Anne Marsan, EMODnet Secretariat

    14. EMODnet Physics: a horizontal platform serving blue growth
            - Authors:A. Novellino, P. Gorringe, D. Schaap, P. Thijsse, S. Pouliquen, G. Manzella and EMODnet Physics Alliance

    15. EMODnet Black Sea Checkpoint Data Adequacy Framework
      • Authors: Atanas Palazov, Nadia Pinardi, Vladyslav Lyubartsev, Violeta Slabakova, Luminita Buga, Frederique Blanc, Eric Moussat  

    16. Real-time Web-GIS as part of Japan’s MDA
             - Authors: Takanori Katsura, Hiroyasu Furukawa, Takuma Fujiwara

    17. Colombia national and regional contributions
      • Authors: Carolina Garcia-Valencia, Julian Pizarro, Paula Cristina Sierra-Correa, Francisco A. Arias-Isaza

    18. Building strong foundations towards the pan-European High Frequency Radar network
      • Authors: Lorenzo Corgnati, Carlo Mantovani, Anna Rubio, Jose Luis Asensio Igoa, Emma Reyes, Antonio Novellino, Patrick Gorringe, Annalisa Griffa, Julien Mader

    19. SOOSmap brings circumpolar Southern Ocean data to a computer near you
      • Authors: Pip Bricher, Antonio Novellino, Patrick Gorringe, Marco Alba, Jie Zhang, and Roger Proctor

    20. Network Monitoring for large e-infrastructures: the SeaDataCloud example
      • Authors: A. Lykiardopoulos, T. Zamani, A. Iona

    21. SeaDataCloud, enhancing SeaDataNet the Pan-European infrastructure for marine and ocean data
      • Authors: ENEA and the SeaDataCloud consortium, Michèle Fichaut

    22. Indonesia: Leveraging Oceanographic Data Center to Support Indonesia Ocean Policy
      • Authors: Imam Mudita, Muhamad Taufiek, Muhammad Ilyas, Andi Eka Sakya and Hammam Riza

    23. Israel: Activities of ISRAMAR 
      • Author: Isaac Gertman

    24. Kuwait: Oceanographic Research Activities and Data at Kuwait Institute for Scientific Research
      • Authors: Faiza Al-Yamani and Igor Polikarpov

    25. New Zealand: 100% of the World Ocean floor mapped by 2030 - Contribution of the South and West Pacific Regional Data Assembly and Coordination Centre to the Nippon Foundation GEBCO Seabed 2030 initiative
      • Author: Kevin Mackay (National Institute of Water and Atmospheric Research (NIWA), Wellington, New Zealand)

    26. Poland: Development of the Polish National Oceanographic Data Committee
      • Author: Marcin Wichorowski, Michał Piotrowski, Lena Szymanek, Urszula Pączek, Mirosława Ostrowska

    27. Mauritania: The contribution of marine Libraries developed thanks to  IODE through the project  the ODINAFRICA project to the development of oceanographic research in West Africa
      • Author: Assane FALL

    28. Spain: The Spanish Institute of Oceanography recent updates of data sharing within the framework of international marine data management initiatives
      • Authors: Elena TEL, Agueda CABRERO, Irene CHAMARRO, Jose-Ignacio DIAZ, Marcos GOMEZ, Gonzalo GONZALEZ-NUEVO, Elena MARCOS, Amaia VILORIA.

    29. Sweden: Data Harvesting - Machine to machine
      • Authors: Lotta Fyrberg, Arnold Andreasson, Lisa Sundqvist, Nils Nexelius

    30. Sweden: Toolboxes for data management in marine environmental monitoring
      • Authors: Lotta Fyrberg, Markus Lindh, Arnold Andreasson, Lisa Sundqvist, Johannes Johansson, Daniela Figueroa. 

    31. United States of America: xxx
      • Authors: Hernan Garcia, Tim Boyer
    32. IODE1: OceanTeacher Global Academy
    33. IODE2: IOC Ocean Data and Information System catalogue (ODIS)
    34. IODE3: OBIS

Abstracts

 

  1. The World Ocean Database: Synthesis of past and present ocean profile data for global and regional studies

Authors: P. Boyer1, O. K. Baranova1, H. E. Garcia1, A. Grodsky, R. A. Locarnini1, A. V. Mishonov1,2, C. R. Paver1, J. R. Reagan1,2, D. Seidov1, I. Smolyar1, K. Weathers1,3, and M. M. Zweng1

  1. 1National Centers for Environmental Information , NOAA;2Cooperative Institute for Climate and Satellites, University of Maryland,  3Northern Gulf Institute, Mississippi State University, MS

     The aim of the World Ocean Database (WOD) project is to aggregate all historical and recent ocean profile data together in a uniform format, with uniform quality control and make them available publicly without restriction in order to facilitate oceanographic and climate study.  The WOD has been an IODE project since 2000.   In that time there have been five full releases of the WOD (including in 2018). The full releases include intensive expert quality control related to calculation of the World Ocean Atlas climatological mean fields.  The full releases are augmented by quarter-yearly releases of preliminary quality controlled data.  The WOD has succeeded in its goal of facilitating research, cited in peer-reviewed journals, along with the World Ocean Atlas series, more than 400 times per year over the last ten years.  For the future, the WOD will partner with the IQuOD project and the Marine Climate Data System among others, to increase the quality and quantity of historic and recent data, as well as to find ways to reach a larger user base, both within the research community, and outside – including transport, business, and public health interests.


  2. The Global Oceanographic Data Archaeology and Rescue Project: Bringing valuable ocean profile data back to the public (GODAR) 
    Authors: T.P. Boyer1, O. K. Baranova1, H. E. Garcia1, A. Grodsky, R. A. Locarnini1, A. V. Mishonov1,2, C. R. Paver1, J. R. Reagan1,2, D. Seidov1, I. Smolyar1, K. Weathers1,3, and M. M. Zweng1 - (1National Centers for Environmental Information , NOAA;2Cooperative Institute for Climate and Satellites, University of Maryland,  3Northern Gulf Institute, Mississippi State University, MS) 
     The Global Oceanographic Data Archaeology and Rescue Project (GODAR) has been an IODE project since 1992, carried out at the United States National Oceanographic Data Center (NODC) now part of the National Centers for Environmental Information (NCEI).  Historical ocean profile data are crucial to understanding past and present changes in the ocean environment. This includes changes to heat (temperature) and freshwater (salinity), as well as changes in oxygen, nutrients, and the biological communities of the ocean.  Most oceanographic cruises over the years have not been part of a coordinated global effort, and as a consequence, many of the data from these cruises, especially those recorded on paper, have not become part of a global repository.  GODAR over the years has restored more than one million oceanographic profiles to the global research community by discovering and digitizing old cruise, project, institute, and principal investigator records, as well as by reformatting and quality controlling older digital formats.  These efforts have allowed researchers to add years, even decades to the ocean climate record globally and regionally by including all GODAR data in the publicly accessible World Ocean Database in a uniform format with uniform quality control.  As GODAR moves into the future there are still many data to be digitized and otherwise brought to easy access for the global research community.  Locating the data sources, creating partnerships with the data owners, and funding the digital public access to the data remain the challenges for GODAR into the future.

  3. The International Quality controlled Oceanographic Database:  IQuOD v0.1
    Author: Tim Boyer, on behalf of the IQuOD Project Team (including SCOR working group 148 and IOC/IODE SG-IQuOD); Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

    Reliable long-term ocean subsurface temperature measurements are critical for understanding changes in the Earth’s energy imbalance, ocean temperature, sea level, and also separating natural variability from anthropogenic factors. The International Quality Controlled Ocean Database (IQuOD, www.iquod.org), with support from programmes, such as CLIVAR, SCOR and IODE, is the first internationally-coordinated community effort to enhance the content, utility, and quality of the global historical profile database of subsurface temperature observations, and with the potential to expand to other oceanographic variables (salinity, oxygen, etc.). Progress to date includes inclusion of uncertainty estimates to temperature profiles on each depth (pressure) and intelligent metadata for unknown probe types (identified through a deterministic approach using country, year, depth, etc, Palmer et al., 2018) for a major instrument of the historical record. This initial progress has been recently released as part of an interim product, IQuOD v0.1, which is now part of the existing NOAA’s World Ocean Database (WOD) WODselect system in a Climate-Forecast (CF) compliant netCDF ragged array format. This interim product will also be distributed to the public via other data centers in Australia, France, China, Germany, Japan and the UK.

  4. IODE International Coastal Atlas Network (ICAN)
    Author: Tanya Haddad

  5. IODE GOSUD
    Author: Loic Petit de la Villéon

  6. IODE-OBIS: Building a portal for marine biodiversity information around Japan: activities as an Asian node of OBIS
    Author(s): Takashi Hosono, Katsunori Fujikura, Naoto Higa, Hideaki Saito, Tsukane Yamauchi, Akira Sonoda
    In response to the concerns to the marine environmental issue, information on marine biodiversity has become more important. Ocean Biogeographic Information system (OBIS), a project under the International Oceanographic Data and Information Exchange programme, aims to be the most comprehensive gateway to the world’s marine biodiversity. Japan Agency for Marine-Earth Science and Technology (JAMSTEC) plays a role of Japanese node in OBIS network. To curate marine biodiversity data obtained by Japanese research activities, we have developed a portal site, Biological Information System for Marine Life (BISMaL: http://www.godac.jamstec.go.jp/bismal/e/index.html). At the end of 2018, we collect 457,807 records from the North-Western Pacific area, and publish them through BISMaL.

  7. IODE/GOOS Ocean Best Practices System: knowledge exchange for practitioners
    Authors: Jay Pearlman, IEEE (France), This email address is being protected from spambots. You need JavaScript enabled to view it.; Pauline Simpson,  UNESCO-IOC/IODE - CCMI, (Cayman Islands), This email address is being protected from spambots. You need JavaScript enabled to view it.; Mark Bushnell, NOAA-IOOS (USA), This email address is being protected from spambots. You need JavaScript enabled to view it.; Pier Luigi Buttigieg, AWI, (Germany), This email address is being protected from spambots. You need JavaScript enabled to view it.; Juliet Hermes, SAEON (South Africa), This email address is being protected from spambots. You need JavaScript enabled to view it., Emma Heslop, UNESCO-IOC/GOOS (France), This email address is being protected from spambots. You need JavaScript enabled to view it.; Johannes Karstensen, GEOMAR (Germany), This email address is being protected from spambots. You need JavaScript enabled to view it.; Frank Muller-Karger, Univ South Florida,(USA), This email address is being protected from spambots. You need JavaScript enabled to view it.; Cristian Muñoz, SOCIB (Spain), This email address is being protected from spambots. You need JavaScript enabled to view it.;  Francoise Pearlman, IEEE (France), This email address is being protected from spambots. You need JavaScript enabled to view it.; Peter Pissierssens, UNESCO-IOC/IODE (Belgium), This email address is being protected from spambots. You need JavaScript enabled to view it. 
    There is an ever-present need for the identification and dissemination of best practices in the multidisciplinary field of ocean observation and data management. However, the complexity of these domains and the diversity of its stakeholders make discovering relevant best practices (BP) a challenge. On the other hand, harmonizing the adoption of best practices across organizations, especially during the design and implementation of an Ocean Observing System becomes a crucial factor in establishing the basis that guarantees its successful development and evolution. Nonetheless, addressing this aspect requires connecting and exchanging consensual best practices in ocean observation operation and technology, data management and applications. Equally important is the creation of a repository providing efficient discovery and access of documented best practices, and also expanding means of community engagement, including peer review and training. The AtlantOS Project (through its Best Practices Working Group), the ODIP Project, the NSF Research Coordination Network, the UNESCO-IOC/IODE and others are collaborating on the development of an enhanced Ocean Best Practices System, based upon expanding the already existing IODE OceanBestPractices Repositoryand using new means to foster OBP use by a broader ocean community.  This poster presents the progress of the collaborative efforts in developing the System that will become an essential building block as one of the fundamental elements of the European Ocean Observing System. An Ocean Best Practices System (OBP-S) has been designed expressly to address the challenges of multidisciplinary research needed to answer the global challenges such as climate change and others (Pearlman et al., 2017). This solution covers the entire range of ocean observations including observing, data management and user support and draws on the developing fields of natural language processing and ocean vocabularies. But more than a technology, implementation is needed for effective community engagement. Thus, the OBP-S will provide mechanisms for community dialogues and to facilitate publishing BPs. One aspect of this effort is the recently created Frontiers in Marine Science,Research Topic: Best Practices in Ocean Observing, which will become a place of commentary and dialogue. Peer review of best practice articles is a means of promoting community adoption and providing increased visibility of methodologies. It also has significant benefits for those in universities and elsewhere that use number and quality of publications as a metric for advancement.  Working together with Frontiers, the Research Topic offers this medium to describe and disseminate robust and high-quality methodologies and interoperability, linked and referenced to the OBP repository document as appropriate. As the System depends on the quantity and quality of documents provided by its stakeholders, the project will pay substantial attention to community engagement. This is important, but does not stand in isolation. Training and capacity building are also an essential element for BP adoption. For OBP-S, this will be done working closely with established organizations such as IODE Ocean Teacher Global Academy (OTGA), POGO and the SCOR Committee on Capacity Building as well as other activities such as the summer schools run by major research initiatives such as IMBER, CLIVAR, SOLAS and GEOTRACES.

  8. ETDMP support to IODE and JCOMM data management
    Authors: Alessandra GIORGETTI, Clousa MAUEUA CHEVANE, Denis MELNIKOV, Anna MILAN,  Paul OLOO,  Tobias SPEARS, Toru SUZUKI, Elena TEL, Yue XINYANG
    ETDMP aims to provide guidance and support to spread standards and best practices for real time and delayed mode oceanographic and marine meteorological data management. ETDMP assists in the process of development of IOC Ocean Data and Information Sources (ODIS), by providing recommendations in the process of connecting the Data Management frameworks of WMO and IOC/IODE. ETDMP provide expertise on metadata elements, recognising the importance of common, standard and harmonised metadata information for data discovery and reuse. In close cooperation with the Expert Team on Marine Climatology (ETMC), ETDMP assists with the development, review and update the Marine Climate Data System (MCDS) strategy and implementation plan, documenting the data flow in perspective of an efficient and shared MCDS. ETDMP liaises, collaborates and provides advice to the IODE, to the Data Management Coordination Group (DMCG), to the JCOMM Data Management Program Area and Observation Program Area.

  9. The JCOMM Observations Coordination Group: Integrating Data and Information from a Global Array of Ocean Platforms
    Authors: Kevin O’Brien, David Legler, Emma Heslop, Jon Turton, Juliet Hermes, Mathieu Belbeoch, Champika Gallage, Shelby Brunner, Albert Fischer
    JCOMM, the Joint Technical Commission for Oceanography and Marine Meteorology, is an intergovernmental body of technical experts that provides a mechanism for international coordination of oceanographic and marine meteorological observing, data management and services.  The creation of this Joint Technical Commission resulted from a general recognition that worldwide improvements in coordination and efficiency may be achieved by combining the expertise and technological capabilities of World Meteorological Organization (WMO) and UNESCO's Intergovernmental Oceanographic Commission (IOC). Within JCOMM, the Observations Coordination Group (OCG) is charged to review, advise and coordinate the effective operation of international ocean and marine observing systems and related activities. The focus is on developing synergy across in situ observing networks, leading to a sustained global system.   OCG works with the following global networks; Ship Observations Team (SOT), Argo, Global Ocean Ship-based Hydrographic Investigations Program (GO-SHIP), OceanSITES, Data Buoy Cooperation Panel (DBCP), Global Sea Level Observing System (GLOSS), and other emerging networks. Among the strategic foci for OCG are: 1)  advancing access, discoverability, and exchange of global ocean data and metadata;  and 2) improving integration of data and system expansion through pilot projects. Though the networks supported by OCG are global in scope, it is increasingly important to link international activities with those on the national and local levels.  Nowhere is this more readily apparent than in data management activities. In this poster, we will illustrate the ways OCG is attempting to promote increased interoperability of ocean and marine meteorological data.  One clear benefit of improved data integration is that it can provide access to the data in terms of Essential Ocean/Climate Variables (EOV/ECV), rather than on a platform by platform basis.  We’ll also discuss a recently implemented pilot project designed to improve real time distribution of ocean observations. The pilot project successfully demonstrated that a simpler, standards-based workflow could significantly reduce the overhead for both providing and accessing these valuable observations through real time distribution mechanisms.

  10. The Marine Climate Data System: Structuring the flow of oceanographic and marine meteorological data for the global community
    Authors: Tim Boyer on behalf of the Joint World Meteorological (WMO) and Intergovernmental Oceanographic Committee (IOC) Committee on Oceanography and Marine Meteorology (JCOMM) Expert Team on Marine Climatology (ETMC)
    The Marine Climate Data System (MCDS) is being constructed by JCOMM to give a structure to the movement of marine meteorological and oceanographic data from measurement to aggregated publicly available data source.  This system is crucial to the study of our changing global environment in that all relevant data will be easily available for the development of products and input into forecast models, each of which will enhance our understanding of the past, present, and future environment.  These products are the tools for monitoring ocean resources, for ocean transport, for human and environmental health, and for planning for and ameliorating effects of environmental change.  It all starts with the easy availability and use of marine meteorological and oceanographic data.  The MCDS is conceived as a small number of data areas, each with its own set of data assembly centers (DACs) for different local and regional projects, institutes, measurement systems feeding into a smaller set of global DACs, in turn feeding into a single Center for Marine Meteorological and Oceanographic Climate Data (CMOCs).  A user can come to a CMOC and expect to get the highest quality aggregated data set for the area, or go to a DAC or GDAC for more targeted data needs.  A data provider will know exactly where to submit their data and what will be done with their data through the entire aggregation structure.  At this point there are two areas with CMOCs, ocean profile data with the World Ocean Database CMOC, and ocean trajectories with CMOC China and surface drifter GDACs in Canada and France.  There is still a long way to go in completing the full structure of the system within these areas.  Other areas contemplated are marine meteorological in situ reports with the International Comprehensive Ocean Atmosphere Data Set (ICOADS) as CMOC, and ocean plankton data with an as yet undetermined CMOC.
  11. The Ocean Tracking Network and Canadian Partnerships, CIOOS and MERIDIAN
    Author(s) – Lenore Bajona, Ines Hessler, Anja Samardzic, Mike Smit
    The Ocean Tracking Network is a leading global scientific infrastructure, aquatic research, data management and partnership platform headquartered at Dalhousie University in Halifax, Nova Scotia, Canada, and has been a thematic OBIS Node and IODE ADU node since March 2017. Since 2008, OTN has been deploying state-of-the-art ocean monitoring equipment and marine autonomous vehicles in key ocean locations and inland waters around the world.  OTN has established partnerships with a global community of telemetry users and stakeholders to document the movements and survival of aquatic animals in the context of changing ocean environments. OTN has made tremendous progress in the areas of international partnerships, global receiver coverage, data collected, and species tracked.  OTN partners with many Canadian initiatives most recently including CIOOS and MERIDIAN providing project planning, outreach and data management guidance. The Canadian Integrated Ocean Observing System (CIOOS) is a new initiative that was recently established through a partnership of public, private, and academic institutions. Jointly funded by the Department of Fisheries and Oceans (DFO) and the Marine Environmental, Observation, Prediction and Response Network (MEOPAR), it is a national effort to coordinate ocean observing activities and facilitate knowledge sharing in ocean science. This integrated ocean observing system will improve coordination and collaboration among diverse data producers, improve access to information for decision making, and enable discovery and access to data to support a wide variety of applied and theoretical research efforts to better understand, monitor, and manage activities in Canada’s oceans in addition to contributing to global efforts to address shared ocean issues. MERIDIAN (Marine Environmental Research Infrastructure for Data Integration and Application Network) is a Canadian Foundation for Innovation funded multi-institutional consortium of ocean researchers and computer and data management professionals that are based at Dalhousie University, Université du Québec à Rimouski, Simon-Fraser University, University of British Columbia and University of Victoria. The primary goals of MERIDIAN are (a) to build and position itself as an indispensable data discovery platform for underwater acoustic and Automatic Identification System (AIS) data, (b) to develop open-source software solutions for data analysis and visualization in liaison with the community, and (c) to assist the community in the use of data science technologies to discover, access, analyze and visualize underwater acoustic and AIS data.


  12. WMO: WMO Information System 2.0 Strategy  
    Author: Mr Peiliang Shi
    The WMO Information System (WIS) was established to provide high-performance and reliable information sharing and management services for all WMO Programmes and related activities. WIS provides a major upgrade to the way weather services and their partners manage, share and transmit weather, climate, water, marine and related environmental information. Unlike the closed and private Global Telecommunication System that it builds upon, WIS gives users outside the meteorological community free access to an expanded range of information. As a result, WMO can now collaborate more fully with United Nations and other international partners on implementing common programmes and activities.  After a decade of implementation, WIS 1.0 became operational in 2012 and must evolve to meet the ever growing requirements of its users. WIS 2.0 will provide users with seamless access to diverse information from a wide range of sources and will enable weather, water and climate information to be related to socioeconomic and other contexts. Through an open ecosystem of tools, applications and services, WIS 2.0 will allow all information providers to manage, publish and share their data, products and services, and will allow all users to develop value-added services and new products. 

  13. EMODnet: YOUR GATEWAY TO MARINE DATA IN EUROPE
    Authors: Jan-Bart Calewaert and Andrée-Anne Marsan, EMODnet Secretariat

    Marine data are needed for many purposes: for acquiring a better scientific understanding of the marine environment, but also, increasingly, for decision making as well as supporting economic growth. Data must be of sufficient quality to meet the specific users’ needs. It must also be accessible in a timely manner. And yet, despite being critical, this timely access to high-quality data proves challenging. Europe’s marine data have traditionally been collected by a myriad of entities with the result that much of our data are scattered in unconnected databases and repositories. Even when data are available, often they are not compatible, making the sharing of the information and data-aggregation impossible. To tackle those problems in 2007 the European Commission through its Directorate General for Maritime Affairs and Fisheries (DG MARE) initiated the development of the European Marine Observation and Data network, EMODnet, in the framework of the EU’s Integrated Maritime Policy and Marine Knowledge 2020 Strategy and in support of Blue Growth. Today EMODnet is comprised of more than 150 organisations which gather marine data, metadata and data products and make them more accessible for a wider range of users. We will present how EMODnet has developed, currently consisting of seven sub-portals providing access to marine data from the following themes: bathymetry, geology, physics, chemistry, biology, seabed habitats and human activities. In addition, six sea-basin checkpoints have been established in the North Sea, the Mediterranean, the Atlantic, the Baltic, the Artic and the Black Sea. These checkpoints attempt to identify whether the observation infrastructure in Europe is the most effective possible, and whether it meets the needs of public or private users. To complement this, a Data Ingestion Service has been set up to reach out to data holders, explaining the benefits of sharing their data and assisting them in releasing their data.

  14. EMODnet Physics: a horizontal platform serving blue growth
    Authors: A. Novellino1, P. Gorringe2, D. Schaap3, P. Thijsse3, S. Pouliquen4, G. Manzella1 and EMODnet Physics Alliance
    (1 ETT SpA, Genova, Italy, 2 SMHI, Norrköping, Sweden, 3 MARIS, Voorburg, The Netherlands, 4 Ifremer, Brest, France)
    EMODnet - the European Marine Observation and Data network – is a long term marine data initiative from the European Commission Directorate-General for Maritime Affairs and Fisheries (DG MARE) involving and networking more than 150 organizations for assembling marine data, products, and metadata. The data infrastructure has been developed through a stepwise approach in 3 major phases by running 7 thematic portals, 6 regional check points and a Data Ingestion facility. EMODnet Physics (www.emodnet-physics.eu) is a domain specific portal of portals aggregating data and metadata from several data portals. The concept of the portal is a federation, intended as ‘alliance’(federation from latin foedus = alliance). This means that there is a mutual agreement between EMODnet Physics and the data providers, each contribution being visible in the portal. Interoperability is a key task of the federated system: common vocabularies, compliance with ISO, OGC standards and adherence to INSPIRE Directive build coherent services for users, although individual components are technically different and managed by different organizations. EMODnet Physics is developing a combined array of services and functionalities such as facility for viewing and downloading, dashboard reporting and machine-to-machine communication services, to obtain, free of charge data, meta-data and data products on the physical conditions of the ocean from many different distributed data sets (http://www.emodnet-physics.eu/map). EMODnet Physics is providing Regional stakeholders and international networks with tools to serve their users and communities, e.g. Physics is powering and hosting the South Ocean Observing System (SOOS) data portal (http://www.soos.aq/data/soosmap) and SOOS is helping Physics to unlock and make available more valuable data, Euskoos – the Basque Operational Oceanography System enriched its data portal and data dissemination with the EMODnet Physics widgets (http://www.euskoos.eus/radar-eu/). EMODnet Physics is also in discussions to provide a portal for the Arctic and collaborating with JCOMMOPS on different matters. The acquisition of physical parameters is largely an automated process that allows the dissemination of near real time information. In particular EMODnet Physics is a stock-share portal strongly federated to the Copernicus Marine Environment Monitoring Service In Situ Thematic Assembly Center. Historical validated datasets are organized in collaboration with SeaDataNet and its network of National Oceanographic Data Centers. The EMODnet Physics portal is currently providing easy access to data and products of: wave height and period; temperature and salinity of the water column; wind speed and direction; horizontal velocity of the water column; light attenuation; sea ice coverage and sea level trends (relative and absolute). EMODnet Physics is continuously increasing the number and type of platforms in the system by unlocking and providing high quality data from a growing network. Lately EMODnet Physics started working on river runoff data, total suspended matter and underwater noise (acoustic pollution).

  15. EMODnet Black Sea Checkpoint Data Adequacy Framework
    Authors:Atanas Palazov, Nadia Pinardi, Vladyslav Lyubartsev, Violeta Slabakova, Luminita Buga, Frederique Blanc, Eric Moussat,  
    Presenter's name:Atanas Palazov
    Abstract of the poster:
    The aim of the EMODnet Black Sea Checkpoint project is to assess the basin scale monitoring systems on the basis of input data sets for 11 prescribed Challenges. The first step in this process was the definition of a “Data Adequacy Framework”, which was derived from the ISO 9004:2009 standards. The second step in the analysis was to set up a metadatabase containing standardized information about the input datasets potentially usable by the Challenges to produce their products. The metadatabase is at the back-end of an INSPIRE Web and GIS platform, known as Sextant, and uses the SeaDataNet common vocabulary to identify the categories of characteristics needed by the Challenges and to analyze the statistics of indicators. The metadatabase contains 503 data set descriptors related to 42 characteristics, i.e. monitoring environmental and human activity information. These descriptors identify potentially usable information for the construction of the Challenge products. The 59 targeted products were constructed from 253 input data sets for the fulfillment of the Challenge products.
    The assessment methodology is providing quantitative and qualitative information on “How” the input data sets are made available to Challenges (Availability Indicators) and “What” is the quality of the monitoring data for the Challenge products (Appropriateness Indicators). The assessment methodology has been based on five elements:
    ·       the potential input data sets metadatabase and the availability indicators,
    ·       the Data Product Specification (DPS) and related quality elements,
    ·       the Targeted Data Products (TDP - requested by the call) information and the related quality elements;
    ·       the Ustream Data (UD) used for the products and the related quality elements,
    ·       the calculation of appropriateness indicators from the DPS, UD and TDP quality elements.
    Indicator values have been grouped in three color codes (red-inadequate; yellow-partially adequate and green-totally adequate) in order to increase the readability of the results. Results are presented separately for the availability and appropriateness indicators and then they are combined to extract the monitoring gaps. Seventeen monitoring characteristics are found not adequate for the availability indicators. Six are instead found not adequate for appropriateness indicators from the metadatabase analysis. However, it is believed that this evaluation was biased by the fact that the Data Product Specification was not really about what it should have been expected but more what was available. Thus we added the appropriateness scores coming from expert opinion and this raised the inadequate monitoring characteristics to 10 (mostly horizontal and temporal coverage).
    In conclusion basin monitoring gaps emerging from this analysis point out to 23 different characteristics that are not monitored adequately in order to construct the 11 Challenge products requested by DG MARE.
    In synthesis the Black Sea Checkpoint demonstrated that a quality assessment framework can be defined for the marine environment at basin scales. The framework allows for the first time to assess the monitoring from a customized end-product user point of view. Recommendations for the future development of the service are given in the conclusions.

  16. Real-time Web-GIS as part of Japan’s MDA
    Authors: Takanori Katsura,Japan Coast Guard (Japan),This email address is being protected from spambots. You need JavaScript enabled to view it. ; Hiroyasu Furukawa, Japan Coast Guard (Japan), This email address is being protected from spambots. You need JavaScript enabled to view it. ; Takuma Fujiwara, Japan Coast Guard (Japan), This email address is being protected from spambots. You need JavaScript enabled to view it. 

    Information provision by Japan Coast Guard: Japan Coast Guard (JCG) have provided not only the navigational safety information for mariners but also the marine information which is expected to be used for various purposes. As part of Integration of Marine-related information under Ocean Policy, in 2010 JCG launched “Marine Information Clearing House (MICH)”, which is an internet  database service to provide a summary of the marine information and how to reach it. In 2011 JCG started the operation of “Marine Cadastre”, which is a Web-GIS service for displaying and overlaying various marine-related information.
    MDA in Japan: Japan’s MDA (Maritime Domain Awareness) is defined as “An effective understanding of marine-related situations and circumstances through the efficient collection and sharing of a variety of marine-related information conducive to Japan's maritime security, marine safety, natural disaster countermeasures, the marine  environment conservation, the promotion of marine industries, and the development of science  and technology, while paying attention to the handling thereof”. The Headquarters for Ocean Policy decided “Efforts to consolidate the Capability of MDA in Japan” in July 2016. To establish the framework for collection, sharing and provision of marine-related information, it was decided that JCG should develop a system for collection, sharing and provision of marine-related information related ministries and agencies possess.
    Development of “MSIL (MDA Situational Indication Linkages)”: According to the decision about Japan’s MDA by the Headquarters for Ocean Policy, JCG is developing “MDA Situational Indication Linkages”, the wide-covered, real-time and user-friendly Web-GIS based on Marine Cadastre, targeting to start its service in 2019 spring. With the cooperation ofrelated ministries and agencies, MSIL will cover wide range of infomation including real-time or near real-time informationsuch as sea surface temperatures, surface currents, sea waves, wind,sea ice condition,weather maps (current & forecast), meteorological satellite imagery and navigational warnings in addition to Marine Cadastre’s100+ kinds of static information. Furthermore user can display and overlay  not only the infomation but also user’s own data.

  17. Colombia national and regional contributions
    Author(s): Carolina Garcia-Valencia, Julian Pizarro, Paula Cristina Sierra-Correa, Francisco A. Arias-Isaza
    Presenter's name:     Paula C. Sierra-Correa
    Abstract of the poster:
    Colombian contribution to IODE activities in last years has been represented by an active engagement on several initiatives based on the work of the Marine and Coastal Research Institute (INVEMAR) as the coordinator of the national marine environmental information system (SIAM, in Spanish) and non-formal annual training courses dictated by INVEMAR in marine topics since 1999. NODC and ADU institutions established through the coordination of Comisión Colombiana del Océano (CCO) and INVEMAR interacting and working together promoting articulated institutional efforts and capacities for effective management of Colombia´s oceanographic and general marine data and/or information, to facilitate this, a national technical committee of oceanic data and information (CTN DIOCEAN, Spanish acronym) was established. Moreover since 2015 INVEMAR is the Regional Training Centre for Latin America and the Caribbean (RTC-LAC) as part of the UNESCO-IOC´s Ocean Teacher Global Academy (OTGA), which has developed 23 training courses in 9 topics with 445 students from 23 countries to November 2018.  On others, the Southeast Pacific data and information network developed to support the regional SPINCAM project, Colombia since 2009 until now, with other 4 countries (Chile, Ecuador, Panama and Peru), has worked in establishing an integrated coastal area management (ICAM) indicator framework at national and regional level focused on the state of the coastal and marine environment and socio-economic conditions, to provide stakeholders with information and atlases on the sustainability of existing and future coastal management practices and development.  SPINCAM shortly will start its 3d. phase where Colombia will continue supporting the planning of sustainable economic development for the coasts of the region.  Based on best practices and lessons learned as well as the capacity demonstrated, Colombia is coordinating since 2013 the second phase of the Caribbean Marine Atlas (CMA2); CMA2 works on the access to spatial data and information by creating an online digital platform to ICAM and Ecosystem-based Management EbM for the Caribbean Large Marine Ecosystem.  The Atlas contents are represented by 879 layers, a collection of base maps, a catalog of documents/maps and the development of 10 indicators now being tested by 13 of the country partners focused in ICAM topics in a way to provide information for decision makers from the region, this experience has been shared in a south-south cooperation with African Atlas (ACMA).  Finally, INVEMAR promotes the collaboration through different IODE initiatives such as ODINCARSA, NODC, OBIS, ICAN, OceanExpert, OceanDocs, etc. towards capacity building on the region and encouraging the generation of information to advance on regional and global strategies such as the SDGs.  At present INVEMAR is starting to work on a Latin American and Caribbean integrated ocean data and information system “prototype” as a clearing-house mechanism / transfer on marine technology (CHM/TMT) for SDGs and to support the recently declared United Nations Decade of Ocean Science for Sustainable Development and the regional information for production of the Global Ocean Sciences Report GOSR.

  18. Building strong foundations towards the pan-European High Frequency Radar network
    Lorenzo Corgnati, CNR-ISMAR, S.S. Lerici (Italy), This email address is being protected from spambots. You need JavaScript enabled to view it. Mantovani, CNR-ISMAR, S.S. Lerici (Italy), This email address is being protected from spambots. You need JavaScript enabled to view it. Rubio, AZTI Marine Research, Pasaia (Spain), This email address is being protected from spambots. You need JavaScript enabled to view it.
    Jose Luis Asensio Igoa, AZTI Marine Research, Pasaia (Spain), This email address is being protected from spambots. You need JavaScript enabled to view it. ; Emma Reyes, ICTS-SOCIB, Palma de Mallorca (Spain), This email address is being protected from spambots. You need JavaScript enabled to view it. ; Antonio Novellino, ETT SpA, Genova (Italy), This email address is being protected from spambots. You need JavaScript enabled to view it. ; Patrick Gorringe, SMHI, Norrköping (Sweden), This email address is being protected from spambots. You need JavaScript enabled to view it. Annalisa Griffa, CNR-ISMAR, S.S. Lerici (Italy), This email address is being protected from spambots. You need JavaScript enabled to view it. ;Julien Mader, AZTI Marine Research, Pasaia (Spain), This email address is being protected from spambots. You need JavaScript enabled to view it.
    High Frequency Radar (HFR) is a land-based remote sensing technology offering a unique insight to coastal ocean variability, as it maps coastal ocean surface currents over wide areas (reaching distances from the coast of over 200 km) with high spatial (a few kms or higher) and temporal resolution (hourly or higher). HFR products are directly used in different sectors, such as Search and Rescue, renewable energy, fishery management and monitoring of pollutants and biological quantities, offering an unprecedented potential for the integrated management of coastal zones. Moreover, in the next years it is expected that HFR surface current data will be systematically ingested in Data Assimilation (DA) processes necessary for predictive model adjustment. It is then crucial to promote and distribute high quality HFR data for scientific, operational and societal applications. HFR technology is rapidly expanding in Europe, where the number of systems is growing at a rate of 6 new sites per year, with over 58 systems currently deployed and operational and a number in the planning stage. Since the European HFR systems are playing an increasing role in the overall operational oceanography marine services, many initiatives are now active in Europe aiming at building an operational pan-European HFR network based on a coordinated data management. In 2014, EuroGOOS launched the HFR Task Team to achieve the harmonization of system requirements and design, data quality and standardization of HFR data access and tools. In 2015, a pilot action coordinated by EMODnet Physics, begun to develop a strategy for assembling HFR metadata and data products within Europe in a uniform way to make them easily accessible, and more interoperable. The SeaDataCloud (SDC) project, launched in 2016, is contributing to the integration and long-term preservation of historical time series from HFR into the SeaDataNet infrastructure by defining standard interoperable data and Common Data Index (CDI) derived metadata formats and Quality Control (QC) standard procedures for historical data. Recently, the Copernicus Marine Environment Monitoring Service (CMEMS) Service Evolution Call supported the INCREASE project, which set the bases for the integration of existing European HFR operational systems into the CMEMS-INSTAC (In Situ Thematic Assembly Center). In parallel, EU project JERICO-NEXT is working to provide procedures and methodologies to enable HFR data to comply with the international standards regarding their quality and metadata, within the overall goal of integrating the European coastal observatories. The results of these integrated efforts are significant and promising. The European common data and metadata model for real-time surface current HFR data has been defined and implemented, compliant with Climate and Forecast Metadata Convention version 1.6 (CF- 1.6), OceanSITES convention, CMEMS INSTAC requirements and INSPIRE directive. Furthermore, the list of the QC tests to be applied to HFR data has been defined according to the DATAMEQ working recommendations on real-time QC and building on the Quality Assurance/Quality Control of Real-Time Oceanographic Data (QARTOD) manual produced by the US Integrated Ocean Observing System (IOOS). Thanks to these achievements, the inclusion of HFR data into CMEMS-INSTAC and into SDC Data Access was decided to ensure the improved management of several related key issues as Marine Safety, Marine Resources, Coastal & Marine Environment, Weather, Climate & Seasonal Forecast. CMEMS-INSTAC and SDC operate through a decentralized architecture based on National Oceanographic Data Centres (NODC), Production Units (PUs) organized by region for the global ocean and the six European seas and a Global Distribution Unit (DU). In particular, CMEMS-INSTAC implements the functions of data acquisition, QC, validation/assessment and distribution. The core of CMEMS-INSTAC and SDC is to guarantee that for the users the quality of the product delivered is equivalent wherever the data are processed. HFR data are in situ gridded data in time (big data), therefore the standard in situ data management infrastructures have to be organized and adapted to allow INSTAC PUs, other CMEMS Thematic Centres (TAC) and Marine Forecasting Centers (MFC) to efficiently manage this type of data. The establishment of the HFR data stream has to be organized in the coordinated framework formed by the existing main European infrastructures and actors. Given the importance of the data type and the diversity with the already available data streams and quality check procedures, the implementation of the HFR data stream has to come together with the development of a centralized European competence centre. Thus, the development of a centralized HFR node goes towards three additional main steps: (i) to set up a data centre dedicated to link all the available data providers and collect and process HFR data; (ii) to develop and upgrade the software tools for the harmonization of data and metadata of HFR data coming from different sources; (iii) to apply data processing, both in real time and delayed mode, and create catalogues of HFR data compliant with the requirements of CMEMS-INSTAC and SDC. Its implementation should be based on a hierarchical infrastructure to facilitate management and integration of any potential data provider according to a simple and very effective rule: if the data provider can set up the data flow according the defined standards, the HFR central node only has to link and include the new catalogue and data stream. If the data centre cannot setup the data flow (because of lack of experience, technical capacity, etc.), the HFR node will work on harvesting the data from the provider, harmonize and format these data and make them available. The integration and assessment of the HFR data in a centralized data system will allow a second harmonized level of quality check assessment, interoperable data products and a more efficient implementation of tools for downstream services. For all these reasons the establishment of a centralized HFR node should be the cornerstone of the operational European HFR network.

  19. SOOSmap brings circumpolar Southern Ocean data to a computer near you
    Pip Bricher (1), Antonio Novellino (2), Patrick Gorringe (3), Marco Alba (2), Jie Zhang (4), and Roger Proctor (5)
    (1) Southern Ocean Observing System, University of Tasmania, Hobart, Australia (This email address is being protected from spambots. You need JavaScript enabled to view it.), (2) ETT Solutions, Genova, Italy, (3) SMHI, Norrköping, Sweden, (4) Polar Research Institute of China, Hangzhou, China, (5) Integrated Marine Observing System, University of Tasmania, Hobart, Australia
    Data discovery and accessibility are constant challenges for scientists, especially those working in inherently international disciplines, such as oceanography. The Southern Ocean Observing System (SOOS) and EMODnet Physics groups are collaborating to remove some of these challenges by developing SOOSmap. SOOSmap builds on the data aggregation and sharing infrastructure of EMODnet to bring circumpolar datasets into a single web-based discovery portal. Through SOOSmap, users can discover, plot, explore, and download datasets of relevance to biologists, ecologists, ice scientists, and physical oceanographers. They can also use it to identify key spatial and temporal gaps in the observing infrastructure of the Southern Ocean. Until now, EMODnet’s focus has been on European waters, although it houses severalglobal datasets. The collaboration with SOOS brings Southern Ocean-specific datasets intoEMODnet’s data-handling infrastructure. For SOOS, accessing the coding skills and data aggregating infrastructure of EMODnet allows it to develop the data-sharing tools it needs without duplicating existing infrastructure and without placing undue burden on its member organisations. In this poster, we will share our lessons from this collaboration, demonstrate the progress so far in sharing circumpolar datasets, and describe our future development plans.
     

  20. Network Monitoring for large e-infrastructures: the SeaDataCloud example.

    1. Lykiardopoulos1, T. Zamani2, A. Iona1
    2. Hellenic Centre for Marine Research/Hellenic National Oceanographic Data Centre (HCMR/HNODC)
    3. Greek Research and Technology Network (GRNET)

    The term network monitoring describes the use of a system that constantly monitors a computer network and related services using predefined metrics, logs all incidents, processes them and as a results produces availability reports and notifies in near real time the administrators to take action if needed. In a longer term helps to identify lucks of stability for the components within widely distributed systems and to update them to improve their robustness; The goal of the Monitoring service in the SeaDataCloud framework is to enable the SeaDataCloud partners to monitor the availability and reliability of the services they are using, in a transparent way. Especially by the production of the messaging system for the administrators the monitoring system is a “live” component of SeaDataNet acting as valuable tool to improve the overall availability of whole platform.  Creation of periodical reports on availability of system components as well as of total system availability is very helpful to estimate the whole system performance and stability.  Availability reporting is a prerequisite in case of signing a Service Level Agreements.HCMR and GRNET have worked together to analyze the requirements and the current SDC architecture. Based on the results a schema is designed and implemented in the Configuration Database, which allows the proper modelling of the SDC infrastructures.  The SeaDataCloudmonitoring has been gradually upgraded by configuring the ARGO platform as Monitoring Service, following the gradual upgrading of the SeaDataCloud infrastructure and its services which take place as part of the SeaDataCloud project in cycles. All different component of the service was appropriate configured and most of the active monitoring services probes were upgraded to the new monitoring service. In order to enable and monitor as many services as possible, a process has been established that should be followed by all services in order to develop or to augment the functionalities of their service. We have delivered guidelines and training material on how partners can propose or develop monitoring probes for their services and we have already the first probes for the service operational on the pre-production environment. The ARGO monitoring service, at its first version is actively monitoring all the services involved in this processes and provides detailed reports about the status, availability and reliability of each service component and composite service. The monitored services include the services operated by the SDN DC Sites, the portal and the services utilized on the EUDAT CDI. The ARGO Monitoring service provides a flexible and scalable framework for monitoring status, availability and reliability of a wide range of services. It can generate multiple reports using customer defined profiles (e.g. for SLA management, operations etc) and has built-in multi-tenant support in the core framework. ARGO supports flexible deployment models and its modular design enables ARGO to integrate with external systems. During the report generation, ARGO can take into account custom factors such as the importance of a specific service endpoint, scheduled or unscheduled downtimes etc. For Availability & Reliability monitoring ARGO introduces a modular architecture, which relies on Nagios for service endpoint monitoring and which can ingest in the Nagios monitoring results in order to track a vast number of monitoring metrics. At its core, ARGO uses a flexible monitoring engine (Nagios), a powerful analytics engine and a high performance web API. Through the use of custom connectors, ARGO can connect to multiple external Configuration Management Databases and Service Catalogues.

  21. SeaDataCloud, enhancing SeaDataNet the Pan-European infrastructure for marine and ocean data
    Author(s) : ENEA and the SdeDataCloud consortium, Michèle Fichaut
    SeaDataCloud is a project funded by the European Horizon 2020 programme, it involves a network of 56 partners across 29 countries, bordering the European seas. It has started in November 2016 and runs for 4 years. SeaDataCloud has the aim of innovating and improving SeaDataNet, the pan-European infrastructure for ocean and marine data, through its expansion with new data and metadata formats compliant to ISO, OGC and W3C standards, as well as new services. The infrastructure is going to provide more personalised and advanced services by adopting cloud and High Performance Computing (HPC) technology. To achieve such a goal, the cooperation with the partner EUDAT, a European network of computing infrastructures, plays an important role. New kinds of data are intended to supplement the ones available and increase the global coverage.
    The project team comprises scientists of oceanographic community, in order to answer to their needs, the project is going to offer the SeaDataCloud virtual research environment. It includes on line services for analysis, quality control, data sub-setting, visualisation of retrieved datasets and generation and publication of data products. Furthermore, supporting tools are going to be developed to foster an effective collaborative environment between users.
    “This project has received funding from the European Union’s Horizon 2020 Research Infrastructures programme, under the grant agreement No 730960”

  22. Leveraging Oceanographic Data Center to Support Indonesia Ocean Policy

    Authors: Imam Mudita, Muhamad Taufiek, Muhammad Ilyas, Andi Eka Sakya and Hammam Riza
    Indonesia is the largest archipelagic country in the world. More than 70% of Indonesia's territory is the ocean. The size of Indonesia's sea reaches 6,315,222 km2 (Geospatial Information Agency / BIG, 2015), and has an island of 17,504 (Dishidros 2004). This fact makes Indonesia one of the countries with the longest coastline in the world that is 99,093 km. With the strong maritime character of Indonesia, it is proper for the Indonesian nation to focus its competence in the Maritime field.  Oceans face the threats of marine and nutrient pollution, resource depletion and climate change, all of which are caused primarily by human actions. These threats place further pressure on environmental systems, like biodiversity and natural infrastructure, while creating global socio-economic problems, including health, safety and financial risks. In order to combat the issues of the adverse effects of overfishing, growing ocean acidification and worsening coastal eutrophication and to promote ocean sustainability, we require effective strategies and management and innovative solutions that prevent and mitigate detrimental impacts to marine environments, the expansion of protected areas for marine biodiversity, intensification of research capacity and increases in ocean science and technology development remain critically important to preserve marine resources.
    Awareness of the importance of marine data and information has also prompted the government to issue Presidential Regulation No. 16 of 2017. Where, one of the priorities is strengthening the system of marine data and information, inventory and evaluation of marine resources. This shows that the development of marine science and technology has gained solid legitimacy from the current government. There is also the mandate of the National Action Plan regarding the construction of a national marine data center. NATIONAL OCEAN DATA CENTER has been seriously initiated by UNESCO through the Intergovernmental Oceanographic Commission (IOC). In IOC Manuals and Guides No. 5, the Guide for Establishing a National Oceanographic Data Center Rev. 2 2008, explained the importance of marine data and information to be managed seriously. The sea which covers 72% of the earth's area is a unity of our natural environment. The concept of one earth or one ocean can be understood, because the influence of changes in the marine environment will affect the condition of the world as a whole. Marine research activities are a fundamental need to understand the processes that control the natural environment that we can use to protect ourselves against various disasters and the quality of life of future generations. Knowledge of ocean patterns and their changes are very dynamic, requiring continuous data and spatially distributed. Each data has a unique value, so the information contained in it is a very valuable asset. Marine data can be obtained in several ways. Almost all marine data collection processes require enormous costs. Although the costs incurred are very high, the use of this data for weather forecasting, marine safety, fisheries potential, offshore activities, marine resource management and others, has a value that far exceeds the costs of taking, processing, analyzing , and disseminate the information. So how important is observation data and marine surveys for life, so it needs to be professionally managed. The management of marine data needs to be done at national and even regional levels, with increasing awareness of the importance of historical data, the amount of data collected today is increasing rapidly. The trend towards the Global Ocean Observing System (GOOS), increasingly requires large data storage. Satellite data, sensors, direct measurements, more and more are near real time. For this reason, it should be noted about data storage and management well in a national and even regional marine data center. NODC not only has national responsibilities, but also internationally. This international role is specifically related to data exchange standards through the International Ocean Data Exchane (IODE) and the Joint Commission for Oceanography and Marine Meteorology (JCOM). The NODC must also provide indicators for the flow of data from one data center to another to make it easy to compare. Therefore data must be identified based on three categories, namely: 1. Data received from the provider of data (raw data). 2. Data that has been processed and archived by NODC. 3. Data that has been sent to the user 4. Extracted data for the purposes of making executive decisions.

  23. Activities of ISRAMAR (Israel)
    Author: Isaac Gertman

  24. Oceanographic Research Activities and Data at Kuwait Institute for Scientific Research
    Authors: Faiza Al-Yamani and Igor Polikarpov
    Trophic relationships in marine plankton communities and food chain dynamics; plankton ecology; plankton biodiversity, benthos, physical regulation of biological systems; fisheries oceanography; biogeochemical processes; ecosystem restoration science and policy; coastal zone management science and policy; development of human resources in oceanography especially related to its interdisciplinary aspect; oceanography data management; marine protected areas;bioprospecting, Genomics. Research results are conveyed to policy and decision makers, academia, NGOs and the public.

  25. New Zealand: 100% of the World Ocean floor mapped by 2030 - Contribution of the South and West Pacific Regional Data Assembly and Coordination Centre to the Nippon Foundation GEBCO Seabed 2030 initiative
    Author: Kevin Mackay (National Institute of Water and Atmospheric Research (NIWA), Wellington, New Zealand)
    The Seabed 2030 South and West Pacific Ocean Regional Data Assembly and Coordination Centre (SaWPaC) has been formed to generate new high resolution ocean floor maps of the western and southern Pacific Ocean. The centre is part of the joint Nippon Foundation and the General Bathymetric Chart of the Oceans (GEBCO) initiative to produce a definitive map of the World Ocean floor by 2030 to empower the world to make policy decisions, use the ocean sustainability and undertake scientific research based on detailed bathymetric information of the Earth’s seabed. The SaWPaC Centre is based at NIWA Wellington and includes a collaborative partnership with GNS Science and Land Information New Zealand. It is responsible for the region from South America to Australia, north of latitude 50°S to 10° north of the Equator and the western part of the Northern Pacific Ocean to Russia. The region includes the world’s deepest trenches and covers some of the remotest oceans where bathymetric data form existing ship tracks is spaced up to 100 km apart. The challenge for the SaWPaC will be to collate and combine all the available bathymetric data from the numerous nations that have surveyed in the region. The centre will also promote efforts to collect new data and contribute to map products generated by the Seabed 2030 global mapping project.

  26. Poland: Development of the Polish National Oceanographic Data Committee
    Author: Marcin Wichorowski, Michal Wichorowski, Lena Szymanek, Urszula Paczek, Miroslawa Ostrowska

  27. Mauritanial: The contribution of marine Libraries developed thanks to  IODE through the project  the ODINAFRICA project to the development of oceanographic research in West Africa
    Author: Assane FALL, Marine Information Manager and Researcher in the Mauritanian Institute of research and Oceanographic Fisheries,  This email address is being protected from spambots. You need JavaScript enabled to view it.
    In marine Information Management, ODINAFRICA project participated in training in the management of marine information librarians, the creation of a pan-African network of National Oceanographic Data Center (NODC), product development and targeted services for national and regional end users in African countries. Currently, over 40 marine-related institutions twenty-five African countries including Mauritania, have tried to address the challenges faced in access to data and information for coastal management in Mauritania. The National Oceanographic Data Centre (NODC) of Mauritania was established in 2001 and under the responsibility of the Mauritanian Institute of Oceanographic Research and Fisheries (IMROP). The IMROP library develop in Mauritania like other country has developed several products and services at different phases of the project such as ODINAFRICA NODC and project websites, newsletters and brochures, Ocean Data Catalogues (metadata), Library Catalogues, Directories of experts and institutions. IMROP's librarians also participated in several training sessions on the management of marine information. In this poster, we first show advanced that the project has achieved in strengthening capacity in marine library management but also for making information management arrangement and provision of information at the library of the Mauritanian Institute of Oceanographic and Fisheries Research (IMROP). Through a questionnaire administered to twenty researchers IMROP, show us the customs and / or failures observed during their use of different services and products available to them through the ODINAFRICA project. However, we also ask several questions to the end of the project, including the maintenance of the various services and databases developed for several years now.

  28. Spain: The Spanish Institute of Oceanography recent updates of data sharing within the framework of international marine data management initiatives
    Authors: Elena TEL, Agueda CABRERO, Irene CHAMARRO, Jose-Ignacio DIAZ, Marcos GOMEZ, Gonzalo GONZALEZ-NUEVO, Elena MARCOS, Amaia VILORIA.
    Since its foundation in 1914, the Spanish Institute of Oceanography (IEO) has conducted studies of the marine environment within the framework of different projects. In 1968 the IEO is designated as the National Oceanographic Data Center (NODC-CEDO) and its functions include the safeguarding of marine data and the activities aimed at the reuse of them. Nowadays NODC-CEDO is connected with different international initiatives to share marine data and information, as well as generate value-added products from them. Among them, it is worth mentioning, due to its importance at European level, the SeaDataNet consortium, EMODNET or the Marine Strategy Framework Directive (MSFD). At present times, the IEO maintains an observation system (IEOOS) that includes, among others, oceanographic stations sampled within the framework of systematic campaigns, the oldest tide-gauge network in the country, a meteo-oceanographic buoy, and the continuous measurements collected from the research vessels throughout their activities. The management of these volumes of data, unthinkable in the origins of CEDO, poses challenges to reduce the processing and validation times, and requires the implementation of new strategies that unify criteria and favor the interoperability and connection of the different systems. The direct connection between the CEDO and the research vessels allows the systematic update of the Cruise Summary Reports (CSR) that contribute to different international databases on research activities, and the daily access to ocean-meteorological data that can be used for prediction models. Recently, the implementation of a standardized database in PostGre / PosGis and Geonetwork interface as well, have meant an important advance in the associated metadata management, making it possible to locate and access the stored data and to detect and correct historical errors.


  29. Sweden: Data Harvesting - Machine to machine
    Authors: Lotta Fyrberg, SMHI (Sweden), This email address is being protected from spambots. You need JavaScript enabled to view it.; Nils Nexelius, SMHI (Sweden), This email address is being protected from spambots. You need JavaScript enabled to view it.; Arnold Andreasson, SMHI (Sweden), This email address is being protected from spambots. You need JavaScript enabled to view it.; Lisa Sundqvist, SMHI (Sweden), This email address is being protected from spambots. You need JavaScript enabled to view it. 

    Users of data will always need access to highest quality, largest collection, and most recent version of data. Advances in technology can meet these demands via technical solutions. One way forward is to grant open access using machine to machine interfaces. SMHI has developed the http://sharkdata.se/system to handle these data flows. The data are currently being harvested in the DwC-A format, by portals such as EMODnet-Biology (and hence to EurOBIS/OBIS), and by the Swedish LifeWatch system. There is now an ongoing study in co-operation with ICES Data centre. The aim of this study is to automate the national reporting of biological data (phytoplankton, zooplankton, phytobenthos and zoobenthos) from OSPAR and HELCOM regions, to the Marine Environmental data portal (DOME). This will result in the following: (i) reduce the amount of manual work (and human errors); (ii) ensure the most ecent version of data in DOME; (iii) automated quality controls through DATSU REST API on data; and (iv) higher quality of data. All technology used is open source (MIT license) and hence open for everyone to download and build their own system. For data users it is possible to use R and Python to set up any type of analysis on data from the Swedish National Oceanographic Data Centre. Examples are published on the server SHARKdata.se. 

  30. Sweden: Toolboxes for data management in marine environmental monitoring
    Authors: Lotta Fyrberg, SMHI (Sweden), This email address is being protected from spambots. You need JavaScript enabled to view it., Markus Lindh, SMHI (Sweden), This email address is being protected from spambots. You need JavaScript enabled to view it., Arnold Andreasson, SMHI (Sweden), This email address is being protected from spambots. You need JavaScript enabled to view it., Lisa Sundqvist, SMHI (Sweden), This email address is being protected from spambots. You need JavaScript enabled to view it., Johannes Johansson, SMHI (Sweden), This email address is being protected from spambots. You need JavaScript enabled to view it., Daniela Figueroa, SMHI (Sweden), This email address is being protected from spambots. You need JavaScript enabled to view it.

    Users of data collected in environmental monitoring will always need access to the highest quality of data. Advances in technology can meet these demands via technical solutions. The Swedish Meteorological and Hydrological Institute (SMHI) is the Swedish National Oceanographic Data Centre and have developed advanced systems (toolboxes), to handle data and perform in-depth quality controls. The toolboxes are: (i) SHARKtoolbox –systems for data management, quality controls, data archiving and basis for reports.(ii) PLANKTONtoolbox –systems for data management and analysis as well as advanced counting and biovolume calculations of plankton samples.(iii) GISMOtoolbox –systems for data management and quality controls of in situocean data from ferryboxes and fixed platforms. All toolboxes can handle analysis of data from national and regional reported marine biological and physical/chemical data. The toolboxes automate data management and reduce the amount of manual work (and human errors) to ensure higher data quality. The programs was developed using open source code (MIT license)and is available both for Microsoft and Apple users.

  31. United States of America: ...
    Authors: Hernan Garcia, Tim Boyer




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Created on: Thursday, 03 January 2019 13:13
Last Updated on: Monday, 18 February 2019 02:28
 
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