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UiT Open Research Data by Helene N. Andreassen, Philipp Conzett, Stein Høydalsvik, Leif Longva, and Obiajulu Odu

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UiT Open Research Data by Helene N. Andreassen, Philipp Conzett, Stein Høydalsvik, Leif Longva, and Obiajulu Odu

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UiT Open Research Data is a Dataverse Network implementation at UiT The Arctic University of Norway, having TROLLing – The Tromsø Repository of Language and Linguistics as its pilot dataverse. In TROLLing anyone around the world can archive and share linguistic data. The studies are curated by academic librarians prior to dissemination through UiT Open Research Data.

UiT Open Research Data is a Dataverse Network implementation at UiT The Arctic University of Norway, having TROLLing – The Tromsø Repository of Language and Linguistics as its pilot dataverse. In TROLLing anyone around the world can archive and share linguistic data. The studies are curated by academic librarians prior to dissemination through UiT Open Research Data.

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UiT Open Research Data by Helene N. Andreassen, Philipp Conzett, Stein Høydalsvik, Leif Longva, and Obiajulu Odu

  1. 1. UiT Open Research Data Helene N. Andreassen, Philipp Conzett, Stein Høydalsvik, Leif Longva, Obiajulu Odu University Library, UiT The Arctic University of Norway helene.n.andreassen@uit.no, philipp.conzett@uit.no, stein.hoydalsvik@uit.no, leif.longva@uit.no, obiajulu.odu@uit.no Dataverse Community Meeting 2015 | June 9, 10, 11, IQSS, Harvard University
  2. 2. How it started • Long tradition of Open Access to publications at UiT Library • Plans to get started with open access to research data • In 2013 request from the linguistics community at UiT for open access service for linguistic research data and statistical code • Project group: – Members: University library and faculty staff from linguistics department – Main task: Discussing basic functionalities and requirements
  3. 3. TROLLing – The Tromsø Repository of Language and Linguistics • Research data and statistical code in the field of language and linguistics • One dataverse – serveral studies • Data contributors may come from anywhere in the world • Limited to open data • Officially launched on 18th June 2014 • More info on TROLLing blog site: http://site.uit.no/trolling/
  4. 4. The role of the library in TROLLing • Curation carried out by subject librarians: – Contributor approval – Relevance of uploaded data – Quality and comprehensiveness of metadata – Structure and format of uploaded data – Releasing approved studies • In cooperation with the faculty staff at UiT: – How-to and best practice guides – Promotion: Conferences, contact with editors, videos, ...
  5. 5. TROLLing and UiT Open Research Data • TROLLing = Dataverse pilot to be followed by other academic disciplines and research communities at UiT • UiT Open Research Data (http://opendata.uit.no) = a general open access service at UiT for sharing, citing, preserving, discovering, analyzing and reusing research data • Expanding the service to other subject areas will likely be done at the institutional level: – Inviting research communities at UiT – Establishing new members of UiT ORD in collaboration UiT Open Research Data TROLLing ... ... ... ... ... Study 1 Study 2 Study ... = Umbrella dataverse = Sub-dataverses = Studies
  6. 6. As of 19th May 2015: • 98 registered contributors from 32 different institutions (3 in Norway, 29 abroad) • 26 uploaded studies consisting of • 197 data files • 588 downloads
  7. 7. UiT Open Research Data Helene N. Andreassen, Philipp Conzett, Stein Høydalsvik, Leif Longva, Obiajulu Odu University Library, UiT The Arctic University of Norway helene.n.andreassen@uit.no, philipp.conzett@uit.no, stein.hoydalsvik@uit.no, leif.longva@uit.no, obiajulu.odu@uit.no Dataverse Community Meeting 2015 | June 9, 10, 11, IQSS, Harvard University

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