[M-GI04] Open Research Data and Interoperable Science Infrastructures for Earth & Planetary Sciences

[MGI04-P03] Data alliances in Open Science for interoperable and multidisciplinary data usage

*Bernd Ritschel¹、Günther Neher²、Toshihiko Iyemori³、Yukinobu Koyama⁴、Yasuhiro Murayama⁵、Todd King⁶、Steve Hughes⁷、Shing Fung⁸、Ivan Galkin⁹、Mike Hapgood¹⁰、Anna Belehaki¹¹ (1.Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences、2.University of Applied Sciences Potsdam、3.Kyoto University、4.National Institute of Informatics、5.National Institute of Information and Communications Technology、6.University of California、7.NASA Jet Propulsion Laboratory、8.NASA's Goddard Space Flight Center、9.University of Massachusetts、10.Science and Technology Facilities Council、11.National Observatory of Athens)

キーワード：Open Science, Open Access, Holistic Approach, Semantic Mashup, Data Catalog, Scientific Library

The idea of Open Science combines the Open Data, Open Access and further more open principles and activities for an improved domain specific but also cross-domain and interoperable usage of scientific data and appropriate publications, methods, software, etc. Scientific collaboration according to the Open Science principles is also opening the chance to return to a holistic approach integrating science and humanities. In order to get the maximum benefit from the principles of Open Science a change of scientific and administrative culture is still necessary as well as a transparent and secure access to data, information and knowledge. Data scientists could play an important role in the management of the whole data life cycle but also the cross-domain integration of data and publication. Scientific libraries should assume the tasks of an institutional body for all activities around a sustainable management of scientific data and appropriate value added services in Open Science.
Beside the discussion of general topics of this concept, the results and challenges of an international project for the integration of proprietary data server via semantic mashup of data catalogs in the geoscience and space domain are addressed in this presentation.