Book chapter
Toward a Metadata Framework for Sharing Sensitive and Closed Data: An Analysis of Data Sharing Agreement Attributes
Metadata and Semantic Research, pp 300-311
14 Nov 2017
Abstract
Legal and policy-oriented restrictions often hamper if not inhibit well-intended efforts to share sensitive or restricted data. The research reported on in this paper is a part of a larger initiative to develop a prototype system for automatically generating data sharing agreements that address privacy, legal concerns, and other restrictions. A content analysis was conducted, examining a sample of 26 data sharing agreements. The results include 6 high level categories, 15 mid-level attributes, and over 90 lower-level specific attributes, a portion of which can help to expeditiously support the automatic development of data sharing agreements. The paper presents background information, research questions and methods, results, and a discussion. The conclusion summarizes our results and identifies next steps.
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5 citations in Scopus
Details
- Title
- Toward a Metadata Framework for Sharing Sensitive and Closed Data: An Analysis of Data Sharing Agreement Attributes
- Creators
- Sam Grabus - Drexel UniversityJane Greenberg - Drexel University
- Publication Details
- Metadata and Semantic Research, pp 300-311
- Series
- Communications in Computer and Information Science
- Publisher
- Springer International Publishing; Cham
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- Information Science
- Scopus ID
- 2-s2.0-85036642836
- Other Identifier
- 991019174136704721