TROLLing: Scope and operation of an open repository for linguistic datasets

dc.contributor.author Andreassen, Helene N.
dc.contributor.author Conzett, Philipp
dc.contributor.author Høydalsvik, Stein
dc.contributor.author Longva, Leif
dc.contributor.author Obiajulu, Odu
dc.date.accessioned 2017-01-13T00:17:16Z
dc.date.available 2017-01-13T00:17:16Z
dc.date.issued 2017-01-06
dc.description Poster: TROLLing (opendata.uit.no) is an international archive for open linguistic data and statistical code (e.g. R scripts), launched in 2014 at UiT The Arctic University of Norway. With the increasing demand for archiving and sharing research data, as well as the problem of improper attribution, TROLLing aims to meet researchers’ needs by proposing safe storage of data files, and metadata templates based on international standards. Retrieval, sharing, and reuse of data is further facilitated by TROLLing being part of a global open data network. As regards attribution, the system automatically provides a dataset citation, comprising among other things the author name(s) and a persistent identifier (doi). A version control allows researchers to update their datasets at any time, previously published versions still being available open access. TROLLing is available to all subfields of linguistics, but is limited to structural data. The metadata template, however, allows linking to primary data, stored elsewhere.
dc.description.abstract TROLLing (opendata.uit.no) is an international archive for open linguistic data and statistical code (e.g. R scripts), launched in 2014 at UiT The Arctic University of Norway. With the increasing demand for archiving and sharing research data, as well as the problem of improper attribution, TROLLing aims to meet researchers’ needs by proposing safe storage of data files, and metadata templates based on international standards. Retrieval, sharing, and reuse of data is further facilitated by TROLLing being part of a global open data network. As regards attribution, the system automatically provides a dataset citation, comprising among other things the author name(s) and a persistent identifier (doi). A version control allows researchers to update their datasets at any time, previously published versions still being available open access. TROLLing is available to all subfields of linguistics, but is limited to structural data. The metadata template, however, allows linking to primary data, stored elsewhere.
dc.description.sponsorship This material is based upon work supported by the National Science Foundation under grant SMA-1447886.
dc.format.extent 1
dc.identifier.uri http://hdl.handle.net/10125/43570
dc.language.iso en-US
dc.rights Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported Attribution-NonCommercial-ShareAlike 3.0 United States
dc.subject data citation
dc.subject attribution
dc.subject linguistics
dc.title TROLLing: Scope and operation of an open repository for linguistic datasets
dc.type Conference Paper
dc.type Presentation
dc.type.dcmi StillImage
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