Data management and sharing policy: the first step towards promoting data sharing

Abstract Background Health-related research funders, regulators and journals expect that de-identified individual-level health data be shared widely, with as few restrictions as possible; yet, in reality, the volume of shared data remains low. Main body Health researchers and other data producers ar...
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Autor*in:	Naomi Waithira [verfasserIn] Brian Mutinda [verfasserIn] Phaik Yeong Cheah [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	Data sharing Data management Data sharing policy Broad consent Ethical

Übergeordnetes Werk:	In: BMC Medicine - BMC, 2003, 17(2019), 1, Seite 5
Übergeordnetes Werk:	volume:17 ; year:2019 ; number:1 ; pages:5

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1186/s12916-019-1315-8

Katalog-ID:	DOAJ010255265

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allfields	10.1186/s12916-019-1315-8 doi (DE-627)DOAJ010255265 (DE-599)DOAJe4f0f180becd463485e90b51e2d91813 DE-627 ger DE-627 rakwb eng Naomi Waithira verfasserin aut Data management and sharing policy: the first step towards promoting data sharing 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Health-related research funders, regulators and journals expect that de-identified individual-level health data be shared widely, with as few restrictions as possible; yet, in reality, the volume of shared data remains low. Main body Health researchers and other data producers are reluctant to share their data unless they are confident that their datasets are of high quality and reliable, and that they are used in accordance with the values and aims of their institutions. We argue that having an institutional, departmental or group data management and sharing policy is the first step towards encouraging researchers and healthcare professionals to share their data more widely. Our paper outlines the elements of a data management and sharing policy, which should include aims consistent with those of the institution as well as with data management procedures, models of data sharing, request procedures, consent models and cost recovery mechanisms. A policy would help an institution, department or group maximise the use of its data and protect the interests of the institution and its members. We base our recommendations on our experience collecting and curating data for large clinical trials conducted in low- and middle-income countries, facilitating the sharing of datasets with secondary users, whilst teaching data management and conducting empirical research on data sharing. Although the fundamentals of a policy are general, the paper is focused on the low- and middle-income country context. Conclusion We argue that having an institutional, departmental or group data management and sharing policy is the first step in promoting data sharing. Data sharing Data management Data sharing policy Broad consent Ethical Medicine R Brian Mutinda verfasserin aut Phaik Yeong Cheah verfasserin aut In BMC Medicine BMC, 2003 17(2019), 1, Seite 5 (DE-627)377271225 (DE-600)2131669-7 17417015 nnns volume:17 year:2019 number:1 pages:5 https://doi.org/10.1186/s12916-019-1315-8 kostenfrei https://doaj.org/article/e4f0f180becd463485e90b51e2d91813 kostenfrei http://link.springer.com/article/10.1186/s12916-019-1315-8 kostenfrei https://doaj.org/toc/1741-7015 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2019 1 5
spelling	10.1186/s12916-019-1315-8 doi (DE-627)DOAJ010255265 (DE-599)DOAJe4f0f180becd463485e90b51e2d91813 DE-627 ger DE-627 rakwb eng Naomi Waithira verfasserin aut Data management and sharing policy: the first step towards promoting data sharing 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Health-related research funders, regulators and journals expect that de-identified individual-level health data be shared widely, with as few restrictions as possible; yet, in reality, the volume of shared data remains low. Main body Health researchers and other data producers are reluctant to share their data unless they are confident that their datasets are of high quality and reliable, and that they are used in accordance with the values and aims of their institutions. We argue that having an institutional, departmental or group data management and sharing policy is the first step towards encouraging researchers and healthcare professionals to share their data more widely. Our paper outlines the elements of a data management and sharing policy, which should include aims consistent with those of the institution as well as with data management procedures, models of data sharing, request procedures, consent models and cost recovery mechanisms. A policy would help an institution, department or group maximise the use of its data and protect the interests of the institution and its members. We base our recommendations on our experience collecting and curating data for large clinical trials conducted in low- and middle-income countries, facilitating the sharing of datasets with secondary users, whilst teaching data management and conducting empirical research on data sharing. Although the fundamentals of a policy are general, the paper is focused on the low- and middle-income country context. Conclusion We argue that having an institutional, departmental or group data management and sharing policy is the first step in promoting data sharing. Data sharing Data management Data sharing policy Broad consent Ethical Medicine R Brian Mutinda verfasserin aut Phaik Yeong Cheah verfasserin aut In BMC Medicine BMC, 2003 17(2019), 1, Seite 5 (DE-627)377271225 (DE-600)2131669-7 17417015 nnns volume:17 year:2019 number:1 pages:5 https://doi.org/10.1186/s12916-019-1315-8 kostenfrei https://doaj.org/article/e4f0f180becd463485e90b51e2d91813 kostenfrei http://link.springer.com/article/10.1186/s12916-019-1315-8 kostenfrei https://doaj.org/toc/1741-7015 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2019 1 5
allfields_unstemmed	10.1186/s12916-019-1315-8 doi (DE-627)DOAJ010255265 (DE-599)DOAJe4f0f180becd463485e90b51e2d91813 DE-627 ger DE-627 rakwb eng Naomi Waithira verfasserin aut Data management and sharing policy: the first step towards promoting data sharing 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Health-related research funders, regulators and journals expect that de-identified individual-level health data be shared widely, with as few restrictions as possible; yet, in reality, the volume of shared data remains low. Main body Health researchers and other data producers are reluctant to share their data unless they are confident that their datasets are of high quality and reliable, and that they are used in accordance with the values and aims of their institutions. We argue that having an institutional, departmental or group data management and sharing policy is the first step towards encouraging researchers and healthcare professionals to share their data more widely. Our paper outlines the elements of a data management and sharing policy, which should include aims consistent with those of the institution as well as with data management procedures, models of data sharing, request procedures, consent models and cost recovery mechanisms. A policy would help an institution, department or group maximise the use of its data and protect the interests of the institution and its members. We base our recommendations on our experience collecting and curating data for large clinical trials conducted in low- and middle-income countries, facilitating the sharing of datasets with secondary users, whilst teaching data management and conducting empirical research on data sharing. Although the fundamentals of a policy are general, the paper is focused on the low- and middle-income country context. Conclusion We argue that having an institutional, departmental or group data management and sharing policy is the first step in promoting data sharing. Data sharing Data management Data sharing policy Broad consent Ethical Medicine R Brian Mutinda verfasserin aut Phaik Yeong Cheah verfasserin aut In BMC Medicine BMC, 2003 17(2019), 1, Seite 5 (DE-627)377271225 (DE-600)2131669-7 17417015 nnns volume:17 year:2019 number:1 pages:5 https://doi.org/10.1186/s12916-019-1315-8 kostenfrei https://doaj.org/article/e4f0f180becd463485e90b51e2d91813 kostenfrei http://link.springer.com/article/10.1186/s12916-019-1315-8 kostenfrei https://doaj.org/toc/1741-7015 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2019 1 5
allfieldsGer	10.1186/s12916-019-1315-8 doi (DE-627)DOAJ010255265 (DE-599)DOAJe4f0f180becd463485e90b51e2d91813 DE-627 ger DE-627 rakwb eng Naomi Waithira verfasserin aut Data management and sharing policy: the first step towards promoting data sharing 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Health-related research funders, regulators and journals expect that de-identified individual-level health data be shared widely, with as few restrictions as possible; yet, in reality, the volume of shared data remains low. Main body Health researchers and other data producers are reluctant to share their data unless they are confident that their datasets are of high quality and reliable, and that they are used in accordance with the values and aims of their institutions. We argue that having an institutional, departmental or group data management and sharing policy is the first step towards encouraging researchers and healthcare professionals to share their data more widely. Our paper outlines the elements of a data management and sharing policy, which should include aims consistent with those of the institution as well as with data management procedures, models of data sharing, request procedures, consent models and cost recovery mechanisms. A policy would help an institution, department or group maximise the use of its data and protect the interests of the institution and its members. We base our recommendations on our experience collecting and curating data for large clinical trials conducted in low- and middle-income countries, facilitating the sharing of datasets with secondary users, whilst teaching data management and conducting empirical research on data sharing. Although the fundamentals of a policy are general, the paper is focused on the low- and middle-income country context. Conclusion We argue that having an institutional, departmental or group data management and sharing policy is the first step in promoting data sharing. Data sharing Data management Data sharing policy Broad consent Ethical Medicine R Brian Mutinda verfasserin aut Phaik Yeong Cheah verfasserin aut In BMC Medicine BMC, 2003 17(2019), 1, Seite 5 (DE-627)377271225 (DE-600)2131669-7 17417015 nnns volume:17 year:2019 number:1 pages:5 https://doi.org/10.1186/s12916-019-1315-8 kostenfrei https://doaj.org/article/e4f0f180becd463485e90b51e2d91813 kostenfrei http://link.springer.com/article/10.1186/s12916-019-1315-8 kostenfrei https://doaj.org/toc/1741-7015 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2019 1 5
allfieldsSound	10.1186/s12916-019-1315-8 doi (DE-627)DOAJ010255265 (DE-599)DOAJe4f0f180becd463485e90b51e2d91813 DE-627 ger DE-627 rakwb eng Naomi Waithira verfasserin aut Data management and sharing policy: the first step towards promoting data sharing 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Health-related research funders, regulators and journals expect that de-identified individual-level health data be shared widely, with as few restrictions as possible; yet, in reality, the volume of shared data remains low. Main body Health researchers and other data producers are reluctant to share their data unless they are confident that their datasets are of high quality and reliable, and that they are used in accordance with the values and aims of their institutions. We argue that having an institutional, departmental or group data management and sharing policy is the first step towards encouraging researchers and healthcare professionals to share their data more widely. Our paper outlines the elements of a data management and sharing policy, which should include aims consistent with those of the institution as well as with data management procedures, models of data sharing, request procedures, consent models and cost recovery mechanisms. A policy would help an institution, department or group maximise the use of its data and protect the interests of the institution and its members. We base our recommendations on our experience collecting and curating data for large clinical trials conducted in low- and middle-income countries, facilitating the sharing of datasets with secondary users, whilst teaching data management and conducting empirical research on data sharing. Although the fundamentals of a policy are general, the paper is focused on the low- and middle-income country context. Conclusion We argue that having an institutional, departmental or group data management and sharing policy is the first step in promoting data sharing. Data sharing Data management Data sharing policy Broad consent Ethical Medicine R Brian Mutinda verfasserin aut Phaik Yeong Cheah verfasserin aut In BMC Medicine BMC, 2003 17(2019), 1, Seite 5 (DE-627)377271225 (DE-600)2131669-7 17417015 nnns volume:17 year:2019 number:1 pages:5 https://doi.org/10.1186/s12916-019-1315-8 kostenfrei https://doaj.org/article/e4f0f180becd463485e90b51e2d91813 kostenfrei http://link.springer.com/article/10.1186/s12916-019-1315-8 kostenfrei https://doaj.org/toc/1741-7015 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2019 1 5
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abstract	Abstract Background Health-related research funders, regulators and journals expect that de-identified individual-level health data be shared widely, with as few restrictions as possible; yet, in reality, the volume of shared data remains low. Main body Health researchers and other data producers are reluctant to share their data unless they are confident that their datasets are of high quality and reliable, and that they are used in accordance with the values and aims of their institutions. We argue that having an institutional, departmental or group data management and sharing policy is the first step towards encouraging researchers and healthcare professionals to share their data more widely. Our paper outlines the elements of a data management and sharing policy, which should include aims consistent with those of the institution as well as with data management procedures, models of data sharing, request procedures, consent models and cost recovery mechanisms. A policy would help an institution, department or group maximise the use of its data and protect the interests of the institution and its members. We base our recommendations on our experience collecting and curating data for large clinical trials conducted in low- and middle-income countries, facilitating the sharing of datasets with secondary users, whilst teaching data management and conducting empirical research on data sharing. Although the fundamentals of a policy are general, the paper is focused on the low- and middle-income country context. Conclusion We argue that having an institutional, departmental or group data management and sharing policy is the first step in promoting data sharing.
abstractGer	Abstract Background Health-related research funders, regulators and journals expect that de-identified individual-level health data be shared widely, with as few restrictions as possible; yet, in reality, the volume of shared data remains low. Main body Health researchers and other data producers are reluctant to share their data unless they are confident that their datasets are of high quality and reliable, and that they are used in accordance with the values and aims of their institutions. We argue that having an institutional, departmental or group data management and sharing policy is the first step towards encouraging researchers and healthcare professionals to share their data more widely. Our paper outlines the elements of a data management and sharing policy, which should include aims consistent with those of the institution as well as with data management procedures, models of data sharing, request procedures, consent models and cost recovery mechanisms. A policy would help an institution, department or group maximise the use of its data and protect the interests of the institution and its members. We base our recommendations on our experience collecting and curating data for large clinical trials conducted in low- and middle-income countries, facilitating the sharing of datasets with secondary users, whilst teaching data management and conducting empirical research on data sharing. Although the fundamentals of a policy are general, the paper is focused on the low- and middle-income country context. Conclusion We argue that having an institutional, departmental or group data management and sharing policy is the first step in promoting data sharing.
abstract_unstemmed	Abstract Background Health-related research funders, regulators and journals expect that de-identified individual-level health data be shared widely, with as few restrictions as possible; yet, in reality, the volume of shared data remains low. Main body Health researchers and other data producers are reluctant to share their data unless they are confident that their datasets are of high quality and reliable, and that they are used in accordance with the values and aims of their institutions. We argue that having an institutional, departmental or group data management and sharing policy is the first step towards encouraging researchers and healthcare professionals to share their data more widely. Our paper outlines the elements of a data management and sharing policy, which should include aims consistent with those of the institution as well as with data management procedures, models of data sharing, request procedures, consent models and cost recovery mechanisms. A policy would help an institution, department or group maximise the use of its data and protect the interests of the institution and its members. We base our recommendations on our experience collecting and curating data for large clinical trials conducted in low- and middle-income countries, facilitating the sharing of datasets with secondary users, whilst teaching data management and conducting empirical research on data sharing. Although the fundamentals of a policy are general, the paper is focused on the low- and middle-income country context. Conclusion We argue that having an institutional, departmental or group data management and sharing policy is the first step in promoting data sharing.
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doi_str	10.1186/s12916-019-1315-8
up_date	2024-07-03T13:50:49.459Z
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Main body Health researchers and other data producers are reluctant to share their data unless they are confident that their datasets are of high quality and reliable, and that they are used in accordance with the values and aims of their institutions. We argue that having an institutional, departmental or group data management and sharing policy is the first step towards encouraging researchers and healthcare professionals to share their data more widely. Our paper outlines the elements of a data management and sharing policy, which should include aims consistent with those of the institution as well as with data management procedures, models of data sharing, request procedures, consent models and cost recovery mechanisms. A policy would help an institution, department or group maximise the use of its data and protect the interests of the institution and its members. We base our recommendations on our experience collecting and curating data for large clinical trials conducted in low- and middle-income countries, facilitating the sharing of datasets with secondary users, whilst teaching data management and conducting empirical research on data sharing. Although the fundamentals of a policy are general, the paper is focused on the low- and middle-income country context. 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