FAIRsFAIR - Fostering Fair Data Practices in Europe
Nov 03, 2021
[Graph Issues]
Summary
This project is based on the The FAIR Guiding Principles (GoFAIR, 2020) for scientific data management and stewardship (Wilkenson, et.al., 2016). The principles (and the acronym derived from them) are "Findability, Accessibility, Interoperability, and Reusability\x97that serve to guide data producers and publishers as they navigate around these obstacles, thereby helping to maximize the added-value gained by contemporary, formal scholarly digital publishing" (Ibid). The FAIRsFAIR project, which is partially funded by the European Union, "aims to supply practical solutions for the use of the FAIR data principles throughout the research data life cycle. Emphasis is on fostering FAIR data culture and the uptake of good practices in making data FAIR" (FAIRsFAIR, 2020).It is arguable that these are not ethical principles per se but it is clear that their definition and application have ethical implications, and are in turn influenced by ethical considerations. The name FAIR suggests this. As one of the FAIRsFAIR focus groups stated, "'Mainstreaming' research data management and the FAIR principles within large research organisations such as universities requires a collaborative and transparent approach from a variety of departments and services including libraries, research management, and IT, as well as the offices responsible for data protection, ethics, and research integrity" (FAIRsFAIR, 2019). FAIRsFAIR is only one of a number of advocacy groups acting under the FAIR umbrella.
Content
- Course Outline
- Course Newsletter
- Activity Centre
- -1. Getting Ready
- 1. Introduction
- 2. Applications of Learning Analytics
- 3. Ethical Issues in Learning Analytics
- 4. Ethical Codes
- 5. Approaches to Ethics
- 6. The Duty of Care
- 7. The Decisions We Make
- 8. Ethical Practices in Learning Analytics
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