Producing Open Data

Open data offer the opportunity to economically combine data into large-scale datasets, fostering collaboration and re-use in the interest of treating researchers’ resources as well as study participants with care. Whereas advantages of utilising open data might be self-evident, the production of op...

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Main Authors: Caroline Fischer, Simon David Hirsbrunner, Vanessa Teckentrup
Format: Article
Language:English
Published: Pensoft Publishers 2022-11-01
Series:Research Ideas and Outcomes
Subjects:
Online Access:https://riojournal.com/article/86384/download/pdf/
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author Caroline Fischer
Simon David Hirsbrunner
Vanessa Teckentrup
author_facet Caroline Fischer
Simon David Hirsbrunner
Vanessa Teckentrup
author_sort Caroline Fischer
collection DOAJ
description Open data offer the opportunity to economically combine data into large-scale datasets, fostering collaboration and re-use in the interest of treating researchers’ resources as well as study participants with care. Whereas advantages of utilising open data might be self-evident, the production of open datasets also challenges individual researchers. This is especially true for open data that include personal data, for which higher requirements have been legislated. Mainly building on our own experience as scholars from different research traditions (life sciences, social sciences and humanities), we describe best-practice approaches for opening up research data. We reflect on common barriers and strategies to overcome them, condensed into a step-by-step guide focused on actionable advice in order to mitigate the costs and promote the benefit of open data on three levels at once: society, the disciplines and individual researchers. Our contribution may prevent researchers and research units from re-inventing the wheel when opening data and enable them to learn from our experience.
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spelling doaj.art-f171cb576700407bb4450c69542a0b392022-12-22T03:42:57ZengPensoft PublishersResearch Ideas and Outcomes2367-71632022-11-01811610.3897/rio.8.e8638486384Producing Open DataCaroline Fischer0Simon David Hirsbrunner1Vanessa Teckentrup2University of TwenteUniversity of TübingenTrinity College Institute of Neuroscience, Trinity College DublinOpen data offer the opportunity to economically combine data into large-scale datasets, fostering collaboration and re-use in the interest of treating researchers’ resources as well as study participants with care. Whereas advantages of utilising open data might be self-evident, the production of open datasets also challenges individual researchers. This is especially true for open data that include personal data, for which higher requirements have been legislated. Mainly building on our own experience as scholars from different research traditions (life sciences, social sciences and humanities), we describe best-practice approaches for opening up research data. We reflect on common barriers and strategies to overcome them, condensed into a step-by-step guide focused on actionable advice in order to mitigate the costs and promote the benefit of open data on three levels at once: society, the disciplines and individual researchers. Our contribution may prevent researchers and research units from re-inventing the wheel when opening data and enable them to learn from our experience.https://riojournal.com/article/86384/download/pdf/research datadata sharingdata repositoriesop
spellingShingle Caroline Fischer
Simon David Hirsbrunner
Vanessa Teckentrup
Producing Open Data
Research Ideas and Outcomes
research data
data sharing
data repositories
op
title Producing Open Data
title_full Producing Open Data
title_fullStr Producing Open Data
title_full_unstemmed Producing Open Data
title_short Producing Open Data
title_sort producing open data
topic research data
data sharing
data repositories
op
url https://riojournal.com/article/86384/download/pdf/
work_keys_str_mv AT carolinefischer producingopendata
AT simondavidhirsbrunner producingopendata
AT vanessateckentrup producingopendata