“Open Research Data: Implications for Science and Society”, Warsaw, Poland, May 28–29, 2015, conference organized by the Open Science Platform — an initiative of the Interdisciplinary Centre for Mathematical and Computational Modelling at the University of Warsaw. pon.edu.pl @OpenSciPlatform #ORD2015

1. The GAME project database
an example of interdisciplinary, open access environmental data
system in the network of biogeographical data bases and
oceanographic data repositories
Marcin Wichorowski Joanna Pardus Joanna Piwowarczyk
Institute of Oceanology, Polish Academy of Sciences
Open Research Data: Implications for Science and Society
Warsaw, Poland, May 28–29, 2015

2. Oceanographic Research Area Extent

3. Oceanographic Research Complexity
Source: Bermuda Testbed Mooring Summary Progress in Multidisciplinary Sensing in the 4-Dimensional Ocean Tommy Dickey, UC Santa Barbara

4. The aim of the project is to answer the question:
What is the reaction of physically controlled Arctic marine
ecosystem to temperature rise?
Project will verify the hypothesis, that Arctic marine ecosystem is growing
up (aging) in the course of the global warming.
Evolutionary mature systems are characterized by the balanced, dispersed energy flow
with little unused organic matter. Young systems are usually simpler, with less trophic
links and excess organic matter deposited. Coastal waters of the European Arctic are
world youngest large marine ecosystem, as they were released from the ice sheet 12
thousands years ago.
The GAME Project

5. • Archival meteorological data from
Hornsund and Kongsfjorden
• Hydrological data
• Archival hydrological data
• GIS maps of Hornsund and
Kongsfjorden – bathymetry
• Microplankton spring and summer
data
• Mesozooplankton spring and summer
data
• Bacterial production
• Bacterial density/biomass
• Benthos density and biomass
• Respiration measurements
• Fish hydroacoustic survey
• Euphotic layer measurements
• Sedimentation rates
• Sediment & water column
biogeochemistry
The GAME Project – data acquisition
seabed photos by Kajetan Deja

6. Data accessabilty – problems observed by EC
•Discovery of Data: Access to data and interpretation is impossible for users from outside the
community.
•Access to data: some data are classified, or treated like classified without reason. Lot of owners
desire to exploit added-value themselves, which left data in “frozen” state.
•Use of data: Data is often restricted to “research” use, which make commercial projects very
expensive.
•Cost of data: Data is being delivered with non acceptable cost to end users. Costs should be shared
between users on economy basis.
•Coherence of Data: Data is hard to use cross-disciplinary and cross-border due to weak standards
•Quality of Data: Data should be provided with metainformation on methodology, quality control
flags and originator information. Data unaccompanied by precision estimates is useless.
•Quantity of Data: Distribution of the measurements on European scale is not homogenous. Some
regions are not covered properly by monitoring activity, some measurements overlap.
Source: Iain Shepherd - EC, SeaDataNet Meeting, Madrid, 2009

7. "...Data and information should be available free and without
restrictions for non-commercial use by the research and education
communities, provided that any products or results of such use
shall be published in the open literature without delay. “Free and
unrestricted” means non discriminatory and without charge,
which means at no more than the cost of reproduction and
delivery, without charge for the data and products themselves..."
UNESCO IOC policy on information exchange

8. Integrated Oceanographic Data and Information Management System
DMZ
SAN NAS

9. Integrated Oceanographic Data and Information Management System

10. Data open for further exploitation

11. Sharing data through publicly available services – SeaDataNet Data Portal

12. Sharing data through publicly available services – SeaDataNet Data Portal

13. Sharing data through publicly available services – ESRI Geoportal

14. Sharing data through publicly available services – ESRI Geoportal

15. Sharing data through publicly available services – ESRI Geoportal

16. Sharing data through publicly available services – ESRI Geoportal

17. Sharing data through publicly available services – ESRI Geoportal

18. Sharing data through publicly available services – ESRI Geoportal

19. Sharing data through publicly available services – ESRI Geoportal

20. M. König, J. Kohler, C. Nuth. (2013). Glacier Area Outlines - Svalbard. Tromsø, Norway: Norwegian Polar Institute.
https://data.npolar.no/dataset/89f430f8-862f-11e2-8036-005056ad0004 Data Licensed under: CC-BY, NLOD
Using data from repositories – Norwegian Polar Institute

21. M. König, J. Kohler, C. Nuth. (2013). Glacier Area Outlines - Svalbard. Tromsø, Norway: Norwegian Polar Institute.
https://data.npolar.no/dataset/89f430f8-862f-11e2-8036-005056ad0004 Data Licensed under: CC-BY, NLOD
Using data from repositories – Norwegian Polar Institute

22. M. König, J. Kohler, C. Nuth. (2013). Glacier Area Outlines - Svalbard. Tromsø, Norway: Norwegian Polar Institute.
https://data.npolar.no/dataset/89f430f8-862f-11e2-8036-005056ad0004 Data Licensed under: CC-BY, NLOD
Using data from repositories – Norwegian Polar Institute

23. Using data from repositories – Norwegian Polar Institute

24. Coclusions
•Environmental (oceanographic in particular) research demand for open access to data
repositories
•Object of research is too extent, too dynamic, too diverse to be investigated by just a
small group of researchers – data, information and knowledge exchange is the only way
to accept the challenge and touch the pitfall
•Although the „carrot” of open data exchange brings benefit for scientific research, the
„stick” is also real: the Open Research Data Pilot deployed within Horizon2020 aims to
improve and maximise access-to and re-use of research data generated by projects.
Participating projects will make their research data available on a voluntary basis, as
specified in their Data Management Plans.
•In this context interoperability and standardisation are crucial factors of data exchange
processes
•There is a growing demand to link environmental data with social information; however,
the challenge is to develop common data repository that would link natural and human
sciences layers
•There is a growing number of projects that undertake both environmantal and social
approaches to address the very same environmental problem or phenomena; yet the
results are unfortunately still poorely linked and often analyzed separately