TROLLing: Scope and operation of an open respository for linguistic data
Poster presentation for the 91st Annual Meeting of the Linguistic Society of America, January 5-8 2017, Austin TX. TROLLing ( https://opendata.uit.no/dataverse/trolling ) is an international archive for open linguistic data and statistical code (e.g. R scripts), launched in 2014 at UiT The Arctic Un...
Main Authors: | , , , , , , |
---|---|
Format: | Conference Object |
Language: | English |
Published: |
UiT The Arctic University of Norway
2017
|
Subjects: | |
Online Access: | https://hdl.handle.net/10037/11868 |
_version_ | 1829301017507790848 |
---|---|
author | Andreassen, Helene N. Conzett, Philipp Høydalsvik, Stein Janda, Laura Alexis Longva, Leif Nesset, Tore Odu, Obiajulu |
author_facet | Andreassen, Helene N. Conzett, Philipp Høydalsvik, Stein Janda, Laura Alexis Longva, Leif Nesset, Tore Odu, Obiajulu |
author_sort | Andreassen, Helene N. |
collection | University of Tromsø: Munin Open Research Archive |
description | Poster presentation for the 91st Annual Meeting of the Linguistic Society of America, January 5-8 2017, Austin TX. TROLLing ( https://opendata.uit.no/dataverse/trolling ) 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. |
format | Conference Object |
genre | Arctic University of Norway UiT The Arctic University of Norway |
genre_facet | Arctic University of Norway UiT The Arctic University of Norway |
geographic | Arctic Austin Norway |
geographic_facet | Arctic Austin Norway |
id | ftunivtroemsoe:oai:munin.uit.no:10037/11868 |
institution | Open Polar |
language | English |
op_collection_id | ftunivtroemsoe |
op_relation | FRIDAID 1427351 https://hdl.handle.net/10037/11868 |
op_rights | openAccess |
publishDate | 2017 |
publisher | UiT The Arctic University of Norway |
record_format | openpolar |
spelling | ftunivtroemsoe:oai:munin.uit.no:10037/11868 2025-04-13T14:28:01+00:00 TROLLing: Scope and operation of an open respository for linguistic data Andreassen, Helene N. Conzett, Philipp Høydalsvik, Stein Janda, Laura Alexis Longva, Leif Nesset, Tore Odu, Obiajulu 2017-01 https://hdl.handle.net/10037/11868 eng eng UiT The Arctic University of Norway FRIDAID 1427351 https://hdl.handle.net/10037/11868 openAccess VDP::Humaniora: 000::Språkvitenskapelige fag: 010 VDP::Humanities: 000::Linguistics: 010 Lingvistikk / Linguistics Vitenarkiv / Institutional repository Åpne forskningsdata / Open research data Conference object Konferansebidrag 2017 ftunivtroemsoe 2025-03-14T05:17:55Z Poster presentation for the 91st Annual Meeting of the Linguistic Society of America, January 5-8 2017, Austin TX. TROLLing ( https://opendata.uit.no/dataverse/trolling ) 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. Conference Object Arctic University of Norway UiT The Arctic University of Norway University of Tromsø: Munin Open Research Archive Arctic Austin Norway |
spellingShingle | VDP::Humaniora: 000::Språkvitenskapelige fag: 010 VDP::Humanities: 000::Linguistics: 010 Lingvistikk / Linguistics Vitenarkiv / Institutional repository Åpne forskningsdata / Open research data Andreassen, Helene N. Conzett, Philipp Høydalsvik, Stein Janda, Laura Alexis Longva, Leif Nesset, Tore Odu, Obiajulu TROLLing: Scope and operation of an open respository for linguistic data |
title | TROLLing: Scope and operation of an open respository for linguistic data |
title_full | TROLLing: Scope and operation of an open respository for linguistic data |
title_fullStr | TROLLing: Scope and operation of an open respository for linguistic data |
title_full_unstemmed | TROLLing: Scope and operation of an open respository for linguistic data |
title_short | TROLLing: Scope and operation of an open respository for linguistic data |
title_sort | trolling: scope and operation of an open respository for linguistic data |
topic | VDP::Humaniora: 000::Språkvitenskapelige fag: 010 VDP::Humanities: 000::Linguistics: 010 Lingvistikk / Linguistics Vitenarkiv / Institutional repository Åpne forskningsdata / Open research data |
topic_facet | VDP::Humaniora: 000::Språkvitenskapelige fag: 010 VDP::Humanities: 000::Linguistics: 010 Lingvistikk / Linguistics Vitenarkiv / Institutional repository Åpne forskningsdata / Open research data |
url | https://hdl.handle.net/10037/11868 |