Funders Must Encourage Scientists to Share. Bobrow, M. 522(7555):129. ![Funders Must Encourage Scientists to Share [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex To realize the full potential of large data sets, researchers must agree on better ways to pass data around, says Martin Bobrow. [Excerpt] How can we make best use of the vast amounts of data on genomics, epidemiology and population-level health being collected by researchers? Maximizing the benefits depends on how well we as a scientific community share information. [...] [\n] Both those who generate data and those who want to use them expressed frustration at the way that data-access processes are frequently opaque. [\n] At present, mechanisms for data sharing are too often an afterthought. Access protocols are set up and managed differently from study to study, and this adds to the administrative burden for both producers and users. No one wins in this scenario, least of all those who donate their personal data. [\n] Today, we publish our recommendations (see www.wellcome.ac.uk/EAGDA). They are aimed at research funders, who are best placed to implement them. But we hope that all researchers will find them useful. A key recommendation is that data-access plans should be integral to the grant-application process. Researchers should set out what they regard as a reasonable process for governing and managing access, including estimates of the costs of making the data visible and available to other researchers. The review process should advise on this and the data-access plan should be an integral, auditable part of the funded grant. [...] [\n] It is reasonable for scientists to impose certain conditions or restrictions on the use of their hard-earned data sets, but these should be proportionate and kept to a minimum. Justifiable conditions can range from requiring secondary users to acknowledge the source of the data in publications, to stipulating a fair embargo time on the use of new data releases. Whatever the conditions imposed, they need to be presented clearly to data users. [\n] Criteria used to judge academic careers still focus heavily on individual publication records and provide little incentive for wider data sharing. Scientists who let others use their data deserve reward too. [\n] To build trust, any significant breaches of data- and material-transfer agreements should be treated seriously, with appropriate sanctions being imposed, such as prevention of future access to data sets, or forcing the withdrawal of a published paper. [\n] Funders should expect that each data set they support will be made accessible unless there are particular, agreed reasons for it not to be. Science is increasingly a joint, international and collaborative enterprise. The emphasis now must be on encouraging scientists, with support and resources from funders, to voluntarily make their data more readily available to others.
@article{bobrowFundersMustEncourage2015,
title = {Funders Must Encourage Scientists to Share},
author = {Bobrow, Martin},
date = {2015-06},
journaltitle = {Nature},
volume = {522},
pages = {129},
issn = {0028-0836},
doi = {10.1038/522129a},
url = {https://doi.org/10.1038/522129a},
abstract = {To realize the full potential of large data sets, researchers must agree on better ways to pass data around, says Martin Bobrow.
[Excerpt] How can we make best use of the vast amounts of data on genomics, epidemiology and population-level health being collected by researchers? Maximizing the benefits depends on how well we as a scientific community share information. [...]
[\textbackslash n] Both those who generate data and those who want to use them expressed frustration at the way that data-access processes are frequently opaque.
[\textbackslash n] At present, mechanisms for data sharing are too often an afterthought. Access protocols are set up and managed differently from study to study, and this adds to the administrative burden for both producers and users. No one wins in this scenario, least of all those who donate their personal data.
[\textbackslash n] Today, we publish our recommendations (see www.wellcome.ac.uk/EAGDA). They are aimed at research funders, who are best placed to implement them. But we hope that all researchers will find them useful. A key recommendation is that data-access plans should be integral to the grant-application process. Researchers should set out what they regard as a reasonable process for governing and managing access, including estimates of the costs of making the data visible and available to other researchers. The review process should advise on this and the data-access plan should be an integral, auditable part of the funded grant. [...]
[\textbackslash n] It is reasonable for scientists to impose certain conditions or restrictions on the use of their hard-earned data sets, but these should be proportionate and kept to a minimum. Justifiable conditions can range from requiring secondary users to acknowledge the source of the data in publications, to stipulating a fair embargo time on the use of new data releases. Whatever the conditions imposed, they need to be presented clearly to data users.
[\textbackslash n] Criteria used to judge academic careers still focus heavily on individual publication records and provide little incentive for wider data sharing. Scientists who let others use their data deserve reward too.
[\textbackslash n] To build trust, any significant breaches of data- and material-transfer agreements should be treated seriously, with appropriate sanctions being imposed, such as prevention of future access to data sets, or forcing the withdrawal of a published paper.
[\textbackslash n] Funders should expect that each data set they support will be made accessible unless there are particular, agreed reasons for it not to be. Science is increasingly a joint, international and collaborative enterprise. The emphasis now must be on encouraging scientists, with support and resources from funders, to voluntarily make their data more readily available to others.},
keywords = {*imported-from-citeulike-INRMM,~INRMM-MiD:c-13643296,~to-add-doi-URL,data-sharing,free-scientific-knowledge,knowledge-freedom,research-funding,research-management,science-ethics,scientific-knowledge-sharing},
number = {7555}
}
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[...] [\\n] Both those who generate data and those who want to use them expressed frustration at the way that data-access processes are frequently opaque. [\\n] At present, mechanisms for data sharing are too often an afterthought. Access protocols are set up and managed differently from study to study, and this adds to the administrative burden for both producers and users. No one wins in this scenario, least of all those who donate their personal data. [\\n] Today, we publish our recommendations (see www.wellcome.ac.uk/EAGDA). They are aimed at research funders, who are best placed to implement them. But we hope that all researchers will find them useful. A key recommendation is that data-access plans should be integral to the grant-application process. Researchers should set out what they regard as a reasonable process for governing and managing access, including estimates of the costs of making the data visible and available to other researchers. 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Researchers should set out what they regard as a reasonable process for governing and managing access, including estimates of the costs of making the data visible and available to other researchers. The review process should advise on this and the data-access plan should be an integral, auditable part of the funded grant. [...]\n\n[\\textbackslash n] It is reasonable for scientists to impose certain conditions or restrictions on the use of their hard-earned data sets, but these should be proportionate and kept to a minimum. Justifiable conditions can range from requiring secondary users to acknowledge the source of the data in publications, to stipulating a fair embargo time on the use of new data releases. Whatever the conditions imposed, they need to be presented clearly to data users.\n\n[\\textbackslash n] Criteria used to judge academic careers still focus heavily on individual publication records and provide little incentive for wider data sharing. 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