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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2014
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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 |
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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 |
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