Data Management

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21 Dec 2020
IG

Sensitive Data Interest Group

Status: 
In Group Revisions
Secretariat Liaison: 
Stefanie Kethers
TAB Liaison: 
Frankie Stevens

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

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20 Oct 2020
WG

Data Granularity WG

Status: 
In Group Revisions

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 Data Granularity Working Group aims to better understand and address the existing needs and landscape for data granularity practices, in areas such as data product collection, description, access, and citation, amongst others.  It will do so by both leveraging existing RDA work related to granularity and gathering new information.
  

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19 Oct 2020
WG

Discipline-specific Guidance for Data Management Plans WG

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.

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01 Jun 2020
WG

Raising FAIRness in health data and health research performing organisations (HRPOs) WG

Status: 
Recognised & Endorsed
Secretariat Liaison: 
Bridget Walker
TAB Liaison: 
Dimitris Koureas

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.

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