Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/43570

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

File SizeFormat 
Poster_Andreassen.pdf1.77 MBAdobe PDFView/Open

Item Summary

Title: TROLLing: Scope and operation of an open repository for linguistic datasets
Authors: Andreassen, Helene N.
Conzett, Philipp
Høydalsvik, Stein
Longva, Leif
Obiajulu, Odu
Keywords: data citation
attribution
linguistics
Issue Date: 06 Jan 2017
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.
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.
Sponsor: This material is based upon work supported by the National Science Foundation under grant SMA-1447886.
Pages/Duration: 1
URI/DOI: http://hdl.handle.net/10125/43570
Rights: Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported Attribution-NonCommercial-ShareAlike 3.0 United States
Appears in Collections:Presentations from the Linguistic Society of America symposium and poster session on Data Citation and Attribution in Linguistics, 5-9 January 2017, Austin TX



This item is licensed under a Creative Commons License Creative Commons