Recognised & Endorsed

The Global Open Research Commons (GORC) International Model WG works under the umbrella of the GORC IG. NOTE: Earlier versions of the charter refer to Benchmarking - name was changed after discussion with Council.

Sensitive data is increasingly used for research purposes. However, there are a number of barriers which need to be overcome before sensitive data can be fully operationalized in the research context. Chief among these is that not all sensitive data is alike, with significant disciplinary variation in how sensitive data is defined, linked, managed, stored, and reused. Additionally, common approaches to data optimization are not always appropriate for sensitive data, such as the relationship between the FAIR and CARE principles for data management. Nonetheless, sensitive data has significant

Welcome to the RDA Data Granularity Working Group

Purpose

The efficient and effective reuse of data requires that users, be they humans or machines, be able to find and access data at fine levels of granularity.  The WG will explore key questions and collect and share valuable information for how to best support data granularity, providing guidance to help data professionals to determine the best level of granularity for user discovery, access, interoperability and citability. 

Many research funding agencies expect DMPs which receive valuable metadata about the project as well as collected and analyzed data. In order to use DMPs profitably for researchers in their everyday life and not to create another bureaucratic hurdle, adjustments are needed on the side of the tool providers as well as in the templates.

Adoption and application of the FAIR principles to research data has grown significantly in the few years that they have existed. They have been embraced in many quarters and have paved the way to creating a level playing field for data reuse. Nevertheless, they also pose challenges in some areas of research where reuse may not be an automatic right due to issues of confidentiality, privacy, commercial interests and sensitivities in general.