FAIR-IMPACT identifies practices, policies, tools and technical specifications to guide researchers, repository managers, research performing organisations, policy makers and citizen scientists towards a FAIR data management cycle. The focus is on persistent identifiers (PIDs), metadata, ontologies, metrics, certification and interoperability, starting with real-life use cases on social sciences and humanities, the photon and neutron sciences, life sciences and agri-food and environmental sciences.
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O. Gundersen, und S. Kjensmo. Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18), Association for the Advancement of Artificial Intelligence, (2018)
K. Wilms, S. Stieglitz, A. Buchholz, R. Vogl, und D. Rudolph. Proceedings of the 51st Hawaii International Conference on System Sciences, Hawaii International Conference on System Sciences, (2018)
D. Almeida, G. Murphy, G. Wilson, und M. Hoye. Proceedings of the 25th International Conference on Program Comprehension, Seite 1--11. Piscataway, NJ, USA, IEEE Press, (2017)
A. Schreiber, und R. Struminski. Universal Access in Human--Computer Interaction. Design and Development Approaches and Methods: 11th International Conference, UAHCI 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9--14, 2017, Proceedings, Part I 11, Seite 444--455. Springer, (2017)