Cargando…

Data sharing in large research consortia: experiences and recommendations from ENGAGE

Data sharing is essential for the conduct of cutting-edge research and is increasingly required by funders concerned with maximising the scientific yield from research data collections. International research consortia are encouraged to share data intra-consortia, inter-consortia and with the wider...

Descripción completa

Detalles Bibliográficos
Autores principales: Budin-Ljøsne, Isabelle, Isaeva, Julia, Maria Knoppers, Bartha, Marie Tassé, Anne, Shen, Huei-yi, McCarthy, Mark I, Harris, Jennifer R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3925260/
https://www.ncbi.nlm.nih.gov/pubmed/23778872
http://dx.doi.org/10.1038/ejhg.2013.131
_version_ 1782303839633801216
author Budin-Ljøsne, Isabelle
Isaeva, Julia
Maria Knoppers, Bartha
Marie Tassé, Anne
Shen, Huei-yi
McCarthy, Mark I
Harris, Jennifer R
author_facet Budin-Ljøsne, Isabelle
Isaeva, Julia
Maria Knoppers, Bartha
Marie Tassé, Anne
Shen, Huei-yi
McCarthy, Mark I
Harris, Jennifer R
author_sort Budin-Ljøsne, Isabelle
collection PubMed
description Data sharing is essential for the conduct of cutting-edge research and is increasingly required by funders concerned with maximising the scientific yield from research data collections. International research consortia are encouraged to share data intra-consortia, inter-consortia and with the wider scientific community. Little is reported regarding the factors that hinder or facilitate data sharing in these different situations. This paper provides results from a survey conducted in the European Network for Genetic and Genomic Epidemiology (ENGAGE) that collected information from its participating institutions about their data-sharing experiences. The questionnaire queried about potential hurdles to data sharing, concerns about data sharing, lessons learned and recommendations for future collaborations. Overall, the survey results reveal that data sharing functioned well in ENGAGE and highlight areas that posed the most frequent hurdles for data sharing. Further challenges arise for international data sharing beyond the consortium. These challenges are described and steps to help address these are outlined.
format Online
Article
Text
id pubmed-3925260
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Nature Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-39252602014-03-01 Data sharing in large research consortia: experiences and recommendations from ENGAGE Budin-Ljøsne, Isabelle Isaeva, Julia Maria Knoppers, Bartha Marie Tassé, Anne Shen, Huei-yi McCarthy, Mark I Harris, Jennifer R Eur J Hum Genet Article Data sharing is essential for the conduct of cutting-edge research and is increasingly required by funders concerned with maximising the scientific yield from research data collections. International research consortia are encouraged to share data intra-consortia, inter-consortia and with the wider scientific community. Little is reported regarding the factors that hinder or facilitate data sharing in these different situations. This paper provides results from a survey conducted in the European Network for Genetic and Genomic Epidemiology (ENGAGE) that collected information from its participating institutions about their data-sharing experiences. The questionnaire queried about potential hurdles to data sharing, concerns about data sharing, lessons learned and recommendations for future collaborations. Overall, the survey results reveal that data sharing functioned well in ENGAGE and highlight areas that posed the most frequent hurdles for data sharing. Further challenges arise for international data sharing beyond the consortium. These challenges are described and steps to help address these are outlined. Nature Publishing Group 2014-03 2013-06-19 /pmc/articles/PMC3925260/ /pubmed/23778872 http://dx.doi.org/10.1038/ejhg.2013.131 Text en Copyright © 2014 Macmillan Publishers Limited http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/
spellingShingle Article
Budin-Ljøsne, Isabelle
Isaeva, Julia
Maria Knoppers, Bartha
Marie Tassé, Anne
Shen, Huei-yi
McCarthy, Mark I
Harris, Jennifer R
Data sharing in large research consortia: experiences and recommendations from ENGAGE
title Data sharing in large research consortia: experiences and recommendations from ENGAGE
title_full Data sharing in large research consortia: experiences and recommendations from ENGAGE
title_fullStr Data sharing in large research consortia: experiences and recommendations from ENGAGE
title_full_unstemmed Data sharing in large research consortia: experiences and recommendations from ENGAGE
title_short Data sharing in large research consortia: experiences and recommendations from ENGAGE
title_sort data sharing in large research consortia: experiences and recommendations from engage
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3925260/
https://www.ncbi.nlm.nih.gov/pubmed/23778872
http://dx.doi.org/10.1038/ejhg.2013.131
work_keys_str_mv AT budinljøsneisabelle datasharinginlargeresearchconsortiaexperiencesandrecommendationsfromengage
AT isaevajulia datasharinginlargeresearchconsortiaexperiencesandrecommendationsfromengage
AT mariaknoppersbartha datasharinginlargeresearchconsortiaexperiencesandrecommendationsfromengage
AT marietasseanne datasharinginlargeresearchconsortiaexperiencesandrecommendationsfromengage
AT shenhueiyi datasharinginlargeresearchconsortiaexperiencesandrecommendationsfromengage
AT mccarthymarki datasharinginlargeresearchconsortiaexperiencesandrecommendationsfromengage
AT datasharinginlargeresearchconsortiaexperiencesandrecommendationsfromengage
AT harrisjenniferr datasharinginlargeresearchconsortiaexperiencesandrecommendationsfromengage