51. Enabling Open Science: Wikidata for Research (Wiki4R)
- Author
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Asunción Gómez-Pérez, Mariano Rico, Daniel Kinzler, Karima Rafes, Cécile Germain, Daniel Mietchen, Egon Willighagen, Gregor Hagedorn, Eduard Aibar, Lydia Pintscher, Alastair Dunning, Bioinformatica, and RS: NUTRIM - R4 - Gene-environment interaction
- Subjects
Open science ,identifiers ,Computer science ,Best practice ,Interoperability ,concept mapping ,General Medicine ,identif ,collaboration ,Virtual research environment ,World Wide Web ,Wikidata ,Transformative learning ,Semantic mapping ,citizen science ,Node (computer science) ,Citizen science ,ontologies ,lcsh:Q ,lcsh:Science ,Virtual Research Environment - Abstract
Wiki4R will create an innovative virtual research environment (VRE) for Open Science at scale, engaging both professional researchers and citizen data scientists in new and potentially transformative forms of collaboration. It is based on the realizations that (1) the structured parts of the Web itself can be regarded as a VRE, (2) such environments depend on communities, (3) closed environments are limited in their capacity to nurture thriving communities. Wiki4R will therefore integrate Wikidata, the multilingual semantic backbone behind Wikipedia, into existing research processes to enable transdisciplinary research and reduce fragmentation of research in and outside Europe. By establishing a central shared information node, research data can be linked and annotated into knowledge. Despite occasional uses of Wikipedia or Wikidata in research, significant barriers to broader adoption in the sciences or digital humanities exist, including lack of integration into existing research processes and inadequate handling of provenances. The proposed actions include providing best practices and tools for semantic mapping, adoption of citation and author identifiers, interoperability layers for integration with existing ‡ ‡ § |
- Published
- 2015
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