dc.contributor.author | Conzett, Philipp | |
dc.date.accessioned | 2020-10-09T11:44:12Z | |
dc.date.available | 2020-10-09T11:44:12Z | |
dc.date.issued | 2020-10-01 | |
dc.description.abstract | In this 90 minute interactive workshop LIBER and OCLC invite participants to discuss the future role of the library in supporting the transition to Open Science, particularly as it relates to the focus area of FAIR Data listed in the LIBER Open Science Roadmap.
Open Science is underpinned by research data being Findable, Accessible, Interoperable and Reusable (FAIR). Transitioning to FAIR Data requires more awareness among the scientific community, new tools and training – not to mention a significant change in research data culture. Libraries can play an important supporting role in all of these areas, and they are backed up in this work by the European Commission which is strongly committed to FAIR Data as an essential element of Open Science.
Participants will be able to
gain insights and fresh ideas, particularly through cross-national discussions
deepen understanding
develop and evaluate strategies and tactics
gain confidence in planning ahead in times of crisis and uncertainty.
In each small group discussion of this series, participants will create a bold vision for the future role of libraries in this space. The obstacles to realizing that vision will be surfaced and discussed while also considering how the library community collectively might overcome some of these. OCLC and LIBER will synthesize the discussions to inform community action.
Personal experience of work in this area is welcomed, but not mandatory. Open Science is a movement requiring grassroots participation and support from all areas of the institution. | en_US |
dc.description | Presentation at the webinar FAIR data: OCLS-LIBER Small Group Discussion 01.10.2020. This is the second of a series of small group discussions for the OCLC-LIBER Open Science Discussion Series. <p>
<p><a href=https://www.oclc.org/research/events/oclc-liber-open-science-series/100120-oclc-liber-fair-data.html>https://www.oclc.org/research/events/oclc-liber-open-science-series/100120-oclc-liber-fair-data.html. </a> | en_US |
dc.identifier.citation | Conzett, P. (2020). Subject Matter Expert Input. Presentation at the webinar FAIR data: OCLS-LIBER Small Group Discussion 01.10.2020. | en_US |
dc.identifier.cristinID | FRIDAID 1837409 | |
dc.identifier.uri | https://hdl.handle.net/10037/19571 | |
dc.language.iso | eng | en_US |
dc.rights.accessRights | openAccess | en_US |
dc.rights.holder | Copyright 2020 The Author(s) | en_US |
dc.subject | VDP::Samfunnsvitenskap: 200::Biblioteks- og informasjonsvitenskap: 320::Kunnskapsgjenfinning og organisering: 323 | en_US |
dc.subject | VDP::Social sciences: 200::Library and information science: 320::Knowledge retrieval and organisation: 323 | en_US |
dc.subject | Håndtering av forskningsdata / Research data management | en_US |
dc.subject | Open Science / Open Science | en_US |
dc.subject | Åpen tilgang til forskning / Open Science | en_US |
dc.title | Subject Matter Expert Input | en_US |
dc.type | Conference object | en_US |
dc.type | Konferansebidrag | en_US |