The document outlines a framework for understanding privacy implications in research data sharing, emphasizing precautions for data creators and users. It includes definitions of privacy issues, identifies legal variances in privacy regulations, highlights disciplinary differences impacting data sharing, and proposes technical metadata for privacy information. Additionally, it suggests policies and tools to encourage responsible sharing of personal and sensitive data.

1. RDA/NISO Privacy Implications of Research
Data Sets IG – Task Groups
• Framework: Development of a framework that explains, at a high level, the precautions that
data creators, repositories, aggregators and scientists should use in creating, using, preserving, and
providing access to research data.
• Definitions and Use Cases: Definitions of key areas where privacy issues are evident in the
ecosystem of data sharing and reuse. An outline of situations where the privacy principles would be
applied.
• Legal Variances: Identification of key areas of variance in privacy laws or regulations at national
and international levels that are significant when sharing data worldwide.
• Disciplinary Differences: Identification of key differences among research disciplines that are
significant as it relates to data sharing and related privacy concerns.
• Metadata: Definition of a set of technical metadata that can be used to describe privacy-related
information contained within a data set, parameters for use, and description of where it should be
applied.
• Policy & practice: Development of policies, recommendations and guidance to support
responsible sharing of personal and sensitive data, as well as tools to help researchers put
these recommendations into practice.