“A Licensing Model and Ecosystem for Data Sharing” is an NSF Spoke project, led researchers at Massachusetts Institute of Technology (MIT), Drexel University’s Metadata Research Center, and Brown University.
Significant progress has been made with ‘data sharing’ in the open data and open science communities; although sharing ‘sensitive data’ has not progressed at the same speed. Major obstacles include legal and organizational policies, privacy concerns, infrastructure limitations, and prohibitive restrictions on how sensitive data be used and reused. These obstacles limit society from the full benefits that data sharing can commend.
We are addressing these data sharing challenges through “A Licensing Model and Ecosystem for Data Sharing.” Project goals include: 1) Creating a licensing model for data that facilitates sharing data that is not necessarily open or free between different organizations, 2) Developing a prototype data sharing software platform, ShareDB, to enforce agreement terms and restrictions for the licenses developed, and 3) Developing and integrating relevant metadata that will accompany the datasets shared under the different licenses, making them easily searchable and interpretable.
Research supported by National Science Foundation/IIS/BD Spokes/Award #1636788 (NSF 2016 award for Big Data Spokes)
Data Sharing Agreements
We are collecting examples of data sharing agreements, licenses, partnerships, and contracts for our initiative. Please reach out to Metadata Research Center Director, Jane Greenberg, if you have any inquiries or examples to share (jg3243 @ drexel dot edu).
Publications and activities
Greenberg, J. (2018). Metadata and Toward FAIR Sharing. Shareable Data: Metadata, Issues of Privacy, and Legal Implications. RDA 12th Plenary/International Data Week 2018, Gaborone, Botswana, November 6, 2018. [Slides]
Greenberg, J. (2018). 2018 Joint PI Meeting: NSF BIG DATA and Big Data Hubs & Spokes, Alexandria, VA, June 20-22, 2018. [Slide]
Koko, F., Greenberg, J., Grabus, S., Kraska, T., Madden, S. (2018). Differential Privacy in Licensing Model and Ecosystem for Data Sharing. Poster presented at the 2018 Joint PI Meeting: NSF BIG DATA and Big Data Hubs & Spokes, Alexandria, VA, June 20-22, 2018. [Poster]
Greenberg, J. (2018). Data Sharing Spoke Initiative. Northeast Big Data Innovation Hub (NEBDIH) 2018 Summit, Columbia, New York, April, 2018. [Slides]
Grabus, S. and Greenberg, J. (2018). Resources for understanding the data sharing landscape: Rights, licensing, and related initiatives. Poster presented at the Research Data Alliance 11th Plenary Meeting. Berlin, Germany. [Poster]
Greenberg, J., Grabus, S. (2018). Metadata Solutions and Data Sharing Licensing for Big Data [PowerPoint slides]. IEEE Big Data Governance and Metadata Management Workshop, Technical University, Berlin, Germany, March, 2018. [Slides]
Grabus, S. (2017). Rights Management and Licensing Efforts to Facilitate Secure Data Sharing: A Survey of Current Data Licensing Standardization and Metadata Initiatives. [PowerPoint slides]. Love Data Metadata Mixer, Drexel University, February, 2018. [Slides].
Madden, S. (2017). Towards a Licensing Model and Ecosystem for Data Sharing. Privacy Tools for Data Sharing: Lessons Learned and Directions Forward. Harvard University, December 11, 2017. Abstract and Bio-note (Slides).
Grabus, S., & Greenberg, J. (2017). Toward a Metadata Framework for Sharing Sensitive and Closed Data: An Analysis of Data Sharing Agreement Attributes. In E. Garoufallou, S. Virkus, R. Siatri, & D. Koutsomiha (Eds.), Metadata and Semantic Research: 11th International Conference, MTSR 2017, Tallinn, Estonia, November 28 — December 1, 2017, Proceedings (pp. 300–311). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-70863-8_29 [Paper]
Greenberg, J. (2017). Keynote – Sharing Restricted Data: Challenges, Protocols and Implications for Digital Libraries. Joint 8th A-LIEP Conference/19th ICADL Conference, November 14th, Chulalongkorn University, Bangkok, Thailand.
Greenberg, J. (2017). A Licensing Model and Ecosystem for Data Sharing Board on Research Data and Information/US CODATA International Coordination for Science Data Infrastructure. National Academies, Washington, D.C., November 1, 2017. (Slides)
Greenberg, J., et al, (2017). Metadata Solutions for Sharing Restricted Data. BIG DATA: Balancing Impacts, Investments and Education 2017 ESS/SAES/ARD Fall Meeting: A Question of Balance Workshop, Philadelphia, PA, September 26, 2017 (Slides)
Greenberg, J., Grabus, S., Hudson, F., Kraska, T., Madden, S., Bastón, R., and Naum, K. (2017). “Enabling Seamless Data Sharing in Industry and Academia” Workshop, Drexel University, September, 29-30, 2017: Workshop Report; DOI: https://doi.org/10.17918/D8159V.
Workshop: Enabling Seamless Data Sharing in Industry and Academia Workshop and agenda.
Binnig, C. Data sharing project. 2017 Annual Workshop of the Northeast Big Data Innovation Hub, February, 24, 2017 (Slides).
Grabus, S. (2017, March 15-17). ShareDB: A Licensing Model and Ecosystem for Data Sharing.
Poster presented at the 2017 Joint PI Meeting of NSF BIGDATA and NSF Big Data Hubs & Spokes, Washington, D.C. (Poster)
Sam Madden, Lead PI, Massachusetts Institute of Technology
Carsten Binnig, PI, Brown University
Sam Grabus, Doctoral student, Graduate Research Assistant, Drexel University
Jane Greenberg, PI, Drexel University
Famien Koko, Graduate Student, MIT
Hongwei Liu, Post-Graduate Researcher, Drexel University
Tim Kraska, PI, Brown University
Danny Weitzner, PI, MIT