Data Intelligence · 2019 · 78 citations · 5 references
EngineeringHealth Data ProtectionInformation SecurityLawHealth Data SharingCompliance (Mechanical Engineering)“ A ”Data ScienceDigital HealthManagementFair DataFair Data PrincipleData SharingData ManagementPrivacy CompliancePublic PolicyCompliance (Corporate Governance)Fair Resource AllocationData PrivacyResponsible AccessFair DivisionPrivacyData SecurityResponsible Data ManagementMedical PrivacyFair MetadataAlgorithmic FairnessHealth InformaticsData Protection
According to H2020 Program Guidelines and GDPR, data should be “as open as possible and as closed as necessary” to foster reusability while safeguarding privacy. The study aims to provide responsible access to health data by reconciling benefits of data sharing with privacy rights and ethical and regulatory requirements, solving accessibility problems related to personal data protection. We suggest associating each dataset with FAIR metadata that describes data type and accessibility conditions, taking into account protection obligations and ethical requirements. An existing FAIR infrastructure component was used as an example to show how FAIR metadata can facilitate data sharing while ensuring individual protection.
In order to provide responsible access to health data by reconciling benefits of data sharing with privacy rights and ethical and regulatory requirements, Findable, Accessible, Interoperable and Reusable (FAIR) metadata should be developed. According to the H2020 Program Guidelines on FAIR Data, data should be “as open as possible and as closed as necessary”, “open” in order to foster the reusability and to accelerate research, but at the same time they should be “closed” to safeguard the privacy of the subjects. Additional provisions on the protection of natural persons with regard to the processing of personal data have been endorsed by the European General Data Protection Regulation (GDPR), Reg (EU) 2016/679, that came into force in May 2018. This work aims to solve accessibility problems related to the protection of personal data in the digital era and to achieve a responsible access to and responsible use of health data. We strongly suggest associating each data set with FAIR metadata describing both the type of data collected and the accessibility conditions by considering data protection obligations and ethical and regulatory requirements. Finally, an existing FAIR infrastructure component has been used as an example to explain how FAIR metadata could facilitate data sharing while ensuring protection of individuals.
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Christian Ohmann, Rita Banzi, Steve Canham et al. · BMJ Open · 2017 · 194 citations · Full text
A Generic Workflow for the Data FAIRification Process
Annika Jacobsen, Rajaram Kaliyaperumal, Luiz Olavo Bonino da Silva Santos et al. · Data Intelligence · 2019 · 114 citations · Full text
Consent Codes: Upholding Standard Data Use Conditions
Stephanie O. M. Dyke, Anthony Philippakis, Jordi Rambla et al. · PLoS Genetics · 2016 · 88 citations · Full text
Ignasi Labastida i Juan, Thomas Margoni · Data Intelligence · 2019 · 44 citations · Full text
Engineering, Law, Metadata +19