Blockchain-Based Research Data Sharing Framework for Incentivizing the Data Owners

Data sharing practices are much needed to maximize knowledge gain by researchers. However, when and what data should be shared with whom, and how credit should be awarded to the data owner needs to be clearly addressed to create an individual incentive for data owners to share their data. A platform that allows owners to control and get rewards from sharing their data would be an important enabler of research data-sharing, since presently, such incentives for researchers to share their data are largely missing. Our approach delivers a usable blockchain based model for a collection of researchers’ data, providing accountability of access, maintaining the complete and updated information, and a verifiable record of the provenance, including all accesses/sharing/usages of the data. Data owners will not only enjoy increased transparency and protection of data from falling into the wrong hands, but they will also be incentivized with digital tokens, acknowledgment, or both to share their data with the interested data seekers, thus becoming active participants that stand to benefit from the research data economy.

[1]  Markus Krötzsch,et al.  Wikidata , 2014, Commun. ACM.

[2]  Mercè Crosas,et al.  Data Authorship as an Incentive to Data Sharing. , 2017, The New England journal of medicine.

[3]  Julita Vassileva,et al.  User-Controlled Privacy-Preserving User Profile Data Sharing based on Blockchain , 2019, ArXiv.

[4]  Chih-Hsing Liu,et al.  Understanding knowledge-sharing motivation, incentive mechanisms, and satisfaction in virtual communities , 2012 .

[5]  Bobby Bhattacharjee,et al.  Persona: an online social network with user-defined privacy , 2009, SIGCOMM '09.

[6]  Julita Vassileva,et al.  Towards decentralized data storage in general cloud platform for meta-products , 2016, BDAW '16.

[7]  David L DeMets,et al.  Incentives for Clinical Trialists to Share Data. , 2016, The New England journal of medicine.

[8]  Peter F. Patel-Schneider,et al.  Enabling context-aware and privacy-conscious user data sharing , 2004, IEEE International Conference on Mobile Data Management, 2004. Proceedings. 2004.

[9]  Hai Liu,et al.  A fair data access control towards rational users in cloud storage , 2017, Inf. Sci..

[10]  Ajay Kumar Shrestha,et al.  Security of SIP-based infrastructure against malicious message attacks , 2014, The 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2014).