Data sharing platforms: instruments to inform and shape science policy on data sharing?

Abstract Data sharing platforms are being constructed to make clinical cohort data more findable, accessible, interoperable, and reusable. Their primary purpose is to enhance the sharing of data. However, the lack of incentives for data sharing has been conceptualized in both scientific literature a...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Devriendt, Thijs [verfasserIn] Shabani, Mahsa Lekadir, Karim Borry, Pascal

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Data metrics Data infrastructure Science policy Data sharing Research cohorts

Anmerkung:	© Akadémiai Kiadó, Budapest, Hungary 2022

Übergeordnetes Werk:	Enthalten in: Scientometrics - Dordrecht [u.a.] : Springer Science + Business Media B.V., 1978, 127(2022), 6 vom: 09. Apr., Seite 3007-3019
Übergeordnetes Werk:	volume:127 ; year:2022 ; number:6 ; day:09 ; month:04 ; pages:3007-3019

Links:	Volltext

DOI / URN:	10.1007/s11192-022-04361-2

Katalog-ID:	SPR047289627

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allfields	10.1007/s11192-022-04361-2 doi (DE-627)SPR047289627 (SPR)s11192-022-04361-2-e DE-627 ger DE-627 rakwb eng Devriendt, Thijs verfasserin (orcid)0000-0002-3540-1096 aut Data sharing platforms: instruments to inform and shape science policy on data sharing? 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Akadémiai Kiadó, Budapest, Hungary 2022 Abstract Data sharing platforms are being constructed to make clinical cohort data more findable, accessible, interoperable, and reusable. Their primary purpose is to enhance the sharing of data. However, the lack of incentives for data sharing has been conceptualized in both scientific literature and policy documents as a problem of science policy. As platforms can only facilitate data sharing through technical means, they may not be able of fully resolving the data sharing problem. In this article, it is shown how the design of platforms may help in addressing policy barriers to data sharing in the long-term. In essence, platforms can be made into policy instruments that generate information on the data sharing process and the functionality of data access committees. This allows platforms to be used to inform science policy development, to monitor data sharing practices and to steer funding prioritization for cohorts and data infrastructures themselves. In this way, the creation of data infrastructures is closely connected to the policy evolutions in the context of open science. Data metrics (dpeaa)DE-He213 Data infrastructure (dpeaa)DE-He213 Science policy (dpeaa)DE-He213 Data sharing (dpeaa)DE-He213 Research cohorts (dpeaa)DE-He213 Shabani, Mahsa (orcid)0000-0001-7128-0474 aut Lekadir, Karim (orcid)0000-0002-9456-1612 aut Borry, Pascal (orcid)0000-0002-4931-9560 aut Enthalten in Scientometrics Dordrecht [u.a.] : Springer Science + Business Media B.V., 1978 127(2022), 6 vom: 09. Apr., Seite 3007-3019 (DE-627)320589099 (DE-600)2018679-4 1588-2861 nnns volume:127 year:2022 number:6 day:09 month:04 pages:3007-3019 https://dx.doi.org/10.1007/s11192-022-04361-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 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_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 127 2022 6 09 04 3007-3019
spelling	10.1007/s11192-022-04361-2 doi (DE-627)SPR047289627 (SPR)s11192-022-04361-2-e DE-627 ger DE-627 rakwb eng Devriendt, Thijs verfasserin (orcid)0000-0002-3540-1096 aut Data sharing platforms: instruments to inform and shape science policy on data sharing? 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Akadémiai Kiadó, Budapest, Hungary 2022 Abstract Data sharing platforms are being constructed to make clinical cohort data more findable, accessible, interoperable, and reusable. Their primary purpose is to enhance the sharing of data. However, the lack of incentives for data sharing has been conceptualized in both scientific literature and policy documents as a problem of science policy. As platforms can only facilitate data sharing through technical means, they may not be able of fully resolving the data sharing problem. In this article, it is shown how the design of platforms may help in addressing policy barriers to data sharing in the long-term. In essence, platforms can be made into policy instruments that generate information on the data sharing process and the functionality of data access committees. This allows platforms to be used to inform science policy development, to monitor data sharing practices and to steer funding prioritization for cohorts and data infrastructures themselves. In this way, the creation of data infrastructures is closely connected to the policy evolutions in the context of open science. Data metrics (dpeaa)DE-He213 Data infrastructure (dpeaa)DE-He213 Science policy (dpeaa)DE-He213 Data sharing (dpeaa)DE-He213 Research cohorts (dpeaa)DE-He213 Shabani, Mahsa (orcid)0000-0001-7128-0474 aut Lekadir, Karim (orcid)0000-0002-9456-1612 aut Borry, Pascal (orcid)0000-0002-4931-9560 aut Enthalten in Scientometrics Dordrecht [u.a.] : Springer Science + Business Media B.V., 1978 127(2022), 6 vom: 09. Apr., Seite 3007-3019 (DE-627)320589099 (DE-600)2018679-4 1588-2861 nnns volume:127 year:2022 number:6 day:09 month:04 pages:3007-3019 https://dx.doi.org/10.1007/s11192-022-04361-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 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_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 127 2022 6 09 04 3007-3019
allfields_unstemmed	10.1007/s11192-022-04361-2 doi (DE-627)SPR047289627 (SPR)s11192-022-04361-2-e DE-627 ger DE-627 rakwb eng Devriendt, Thijs verfasserin (orcid)0000-0002-3540-1096 aut Data sharing platforms: instruments to inform and shape science policy on data sharing? 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Akadémiai Kiadó, Budapest, Hungary 2022 Abstract Data sharing platforms are being constructed to make clinical cohort data more findable, accessible, interoperable, and reusable. Their primary purpose is to enhance the sharing of data. However, the lack of incentives for data sharing has been conceptualized in both scientific literature and policy documents as a problem of science policy. As platforms can only facilitate data sharing through technical means, they may not be able of fully resolving the data sharing problem. In this article, it is shown how the design of platforms may help in addressing policy barriers to data sharing in the long-term. In essence, platforms can be made into policy instruments that generate information on the data sharing process and the functionality of data access committees. This allows platforms to be used to inform science policy development, to monitor data sharing practices and to steer funding prioritization for cohorts and data infrastructures themselves. In this way, the creation of data infrastructures is closely connected to the policy evolutions in the context of open science. Data metrics (dpeaa)DE-He213 Data infrastructure (dpeaa)DE-He213 Science policy (dpeaa)DE-He213 Data sharing (dpeaa)DE-He213 Research cohorts (dpeaa)DE-He213 Shabani, Mahsa (orcid)0000-0001-7128-0474 aut Lekadir, Karim (orcid)0000-0002-9456-1612 aut Borry, Pascal (orcid)0000-0002-4931-9560 aut Enthalten in Scientometrics Dordrecht [u.a.] : Springer Science + Business Media B.V., 1978 127(2022), 6 vom: 09. Apr., Seite 3007-3019 (DE-627)320589099 (DE-600)2018679-4 1588-2861 nnns volume:127 year:2022 number:6 day:09 month:04 pages:3007-3019 https://dx.doi.org/10.1007/s11192-022-04361-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 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_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 127 2022 6 09 04 3007-3019
allfieldsGer	10.1007/s11192-022-04361-2 doi (DE-627)SPR047289627 (SPR)s11192-022-04361-2-e DE-627 ger DE-627 rakwb eng Devriendt, Thijs verfasserin (orcid)0000-0002-3540-1096 aut Data sharing platforms: instruments to inform and shape science policy on data sharing? 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Akadémiai Kiadó, Budapest, Hungary 2022 Abstract Data sharing platforms are being constructed to make clinical cohort data more findable, accessible, interoperable, and reusable. Their primary purpose is to enhance the sharing of data. However, the lack of incentives for data sharing has been conceptualized in both scientific literature and policy documents as a problem of science policy. As platforms can only facilitate data sharing through technical means, they may not be able of fully resolving the data sharing problem. In this article, it is shown how the design of platforms may help in addressing policy barriers to data sharing in the long-term. In essence, platforms can be made into policy instruments that generate information on the data sharing process and the functionality of data access committees. This allows platforms to be used to inform science policy development, to monitor data sharing practices and to steer funding prioritization for cohorts and data infrastructures themselves. In this way, the creation of data infrastructures is closely connected to the policy evolutions in the context of open science. Data metrics (dpeaa)DE-He213 Data infrastructure (dpeaa)DE-He213 Science policy (dpeaa)DE-He213 Data sharing (dpeaa)DE-He213 Research cohorts (dpeaa)DE-He213 Shabani, Mahsa (orcid)0000-0001-7128-0474 aut Lekadir, Karim (orcid)0000-0002-9456-1612 aut Borry, Pascal (orcid)0000-0002-4931-9560 aut Enthalten in Scientometrics Dordrecht [u.a.] : Springer Science + Business Media B.V., 1978 127(2022), 6 vom: 09. Apr., Seite 3007-3019 (DE-627)320589099 (DE-600)2018679-4 1588-2861 nnns volume:127 year:2022 number:6 day:09 month:04 pages:3007-3019 https://dx.doi.org/10.1007/s11192-022-04361-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 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_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 127 2022 6 09 04 3007-3019
allfieldsSound	10.1007/s11192-022-04361-2 doi (DE-627)SPR047289627 (SPR)s11192-022-04361-2-e DE-627 ger DE-627 rakwb eng Devriendt, Thijs verfasserin (orcid)0000-0002-3540-1096 aut Data sharing platforms: instruments to inform and shape science policy on data sharing? 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Akadémiai Kiadó, Budapest, Hungary 2022 Abstract Data sharing platforms are being constructed to make clinical cohort data more findable, accessible, interoperable, and reusable. Their primary purpose is to enhance the sharing of data. However, the lack of incentives for data sharing has been conceptualized in both scientific literature and policy documents as a problem of science policy. As platforms can only facilitate data sharing through technical means, they may not be able of fully resolving the data sharing problem. In this article, it is shown how the design of platforms may help in addressing policy barriers to data sharing in the long-term. In essence, platforms can be made into policy instruments that generate information on the data sharing process and the functionality of data access committees. This allows platforms to be used to inform science policy development, to monitor data sharing practices and to steer funding prioritization for cohorts and data infrastructures themselves. In this way, the creation of data infrastructures is closely connected to the policy evolutions in the context of open science. Data metrics (dpeaa)DE-He213 Data infrastructure (dpeaa)DE-He213 Science policy (dpeaa)DE-He213 Data sharing (dpeaa)DE-He213 Research cohorts (dpeaa)DE-He213 Shabani, Mahsa (orcid)0000-0001-7128-0474 aut Lekadir, Karim (orcid)0000-0002-9456-1612 aut Borry, Pascal (orcid)0000-0002-4931-9560 aut Enthalten in Scientometrics Dordrecht [u.a.] : Springer Science + Business Media B.V., 1978 127(2022), 6 vom: 09. Apr., Seite 3007-3019 (DE-627)320589099 (DE-600)2018679-4 1588-2861 nnns volume:127 year:2022 number:6 day:09 month:04 pages:3007-3019 https://dx.doi.org/10.1007/s11192-022-04361-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 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_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 127 2022 6 09 04 3007-3019
language	English
source	Enthalten in Scientometrics 127(2022), 6 vom: 09. Apr., Seite 3007-3019 volume:127 year:2022 number:6 day:09 month:04 pages:3007-3019
sourceStr	Enthalten in Scientometrics 127(2022), 6 vom: 09. Apr., Seite 3007-3019 volume:127 year:2022 number:6 day:09 month:04 pages:3007-3019
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Data metrics Data infrastructure Science policy Data sharing Research cohorts
isfreeaccess_bool	false
container_title	Scientometrics
authorswithroles_txt_mv	Devriendt, Thijs @@aut@@ Shabani, Mahsa @@aut@@ Lekadir, Karim @@aut@@ Borry, Pascal @@aut@@
publishDateDaySort_date	2022-04-09T00:00:00Z
hierarchy_top_id	320589099
id	SPR047289627
language_de	englisch
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author	Devriendt, Thijs
spellingShingle	Devriendt, Thijs misc Data metrics misc Data infrastructure misc Science policy misc Data sharing misc Research cohorts Data sharing platforms: instruments to inform and shape science policy on data sharing?
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topic_title	Data sharing platforms: instruments to inform and shape science policy on data sharing? Data metrics (dpeaa)DE-He213 Data infrastructure (dpeaa)DE-He213 Science policy (dpeaa)DE-He213 Data sharing (dpeaa)DE-He213 Research cohorts (dpeaa)DE-He213
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title	Data sharing platforms: instruments to inform and shape science policy on data sharing?
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title_full	Data sharing platforms: instruments to inform and shape science policy on data sharing?
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title_sort	data sharing platforms: instruments to inform and shape science policy on data sharing?
title_auth	Data sharing platforms: instruments to inform and shape science policy on data sharing?
abstract	Abstract Data sharing platforms are being constructed to make clinical cohort data more findable, accessible, interoperable, and reusable. Their primary purpose is to enhance the sharing of data. However, the lack of incentives for data sharing has been conceptualized in both scientific literature and policy documents as a problem of science policy. As platforms can only facilitate data sharing through technical means, they may not be able of fully resolving the data sharing problem. In this article, it is shown how the design of platforms may help in addressing policy barriers to data sharing in the long-term. In essence, platforms can be made into policy instruments that generate information on the data sharing process and the functionality of data access committees. This allows platforms to be used to inform science policy development, to monitor data sharing practices and to steer funding prioritization for cohorts and data infrastructures themselves. In this way, the creation of data infrastructures is closely connected to the policy evolutions in the context of open science. © Akadémiai Kiadó, Budapest, Hungary 2022
abstractGer	Abstract Data sharing platforms are being constructed to make clinical cohort data more findable, accessible, interoperable, and reusable. Their primary purpose is to enhance the sharing of data. However, the lack of incentives for data sharing has been conceptualized in both scientific literature and policy documents as a problem of science policy. As platforms can only facilitate data sharing through technical means, they may not be able of fully resolving the data sharing problem. In this article, it is shown how the design of platforms may help in addressing policy barriers to data sharing in the long-term. In essence, platforms can be made into policy instruments that generate information on the data sharing process and the functionality of data access committees. This allows platforms to be used to inform science policy development, to monitor data sharing practices and to steer funding prioritization for cohorts and data infrastructures themselves. In this way, the creation of data infrastructures is closely connected to the policy evolutions in the context of open science. © Akadémiai Kiadó, Budapest, Hungary 2022
abstract_unstemmed	Abstract Data sharing platforms are being constructed to make clinical cohort data more findable, accessible, interoperable, and reusable. Their primary purpose is to enhance the sharing of data. However, the lack of incentives for data sharing has been conceptualized in both scientific literature and policy documents as a problem of science policy. As platforms can only facilitate data sharing through technical means, they may not be able of fully resolving the data sharing problem. In this article, it is shown how the design of platforms may help in addressing policy barriers to data sharing in the long-term. In essence, platforms can be made into policy instruments that generate information on the data sharing process and the functionality of data access committees. This allows platforms to be used to inform science policy development, to monitor data sharing practices and to steer funding prioritization for cohorts and data infrastructures themselves. In this way, the creation of data infrastructures is closely connected to the policy evolutions in the context of open science. © Akadémiai Kiadó, Budapest, Hungary 2022
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container_issue	6
title_short	Data sharing platforms: instruments to inform and shape science policy on data sharing?
url	https://dx.doi.org/10.1007/s11192-022-04361-2
remote_bool	true
author2	Shabani, Mahsa Lekadir, Karim Borry, Pascal
author2Str	Shabani, Mahsa Lekadir, Karim Borry, Pascal
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doi_str	10.1007/s11192-022-04361-2
up_date	2024-07-04T02:36:44.456Z
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