Churakova, Olga; Krebs, Christine (19 October 2023). How to manage research data ethically.
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Slideshow
RDM_HowToEthics_20231019.pdf - Presentation Available under License Creative Commons: Attribution (CC-BY). Download (2MB) | Preview |
content: Ethical, legal, and social challenges as well as research integrity issues are closely connected to Open Science. Awareness and identification of ethical issues, support for the integration of research ethics and integrity are the structural components of Open Science.
Open Science aims to promote transparency and reusability of research outputs and knowledge transfer. To maximize the benefits for researchers, study participants and society several ethical risks and issues should be addressed (e.g., fake science, uncontrolled dissemination, risk of new biases in assessing the quality of research outputs (data, publication) and their impact, confidentiality, and data protection) and measures applied.
During the workshop, we will touch on the following topics:
• Ethics key principles and best practices
• Ethical responsibilities
• Ethics and integrity perspective in Open Science
• Ethical sharing of research data and research outputs
• Ethical data exchange
• Data transfer and use agreement (DTA)
• Non-disclosure agreements (NDAs)
Learning outcome: Participants are aware of the code of ethics and ethical responsibility as well as how to share, transfer, and exchange research data and research outputs ethically according to best practices in Open Science.
Item Type: |
Other |
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Division/Institute: |
13 Central Units > Administrative Director's Office > University Library of Bern > University Library of Bern, Operations > Service Center Open Science |
UniBE Contributor: |
Churakova, Olga, Krebs, Christine Renate |
Subjects: |
000 Computer science, knowledge & systems > 020 Library & information sciences 100 Philosophy > 170 Ethics |
Language: |
English |
Submitter: |
Olga Churakova |
Date Deposited: |
19 Oct 2023 14:26 |
Last Modified: |
19 Oct 2023 14:26 |
Uncontrolled Keywords: |
research data, ethics, good practice, research data life cycle |
BORIS DOI: |
10.48350/187308 |
URI: |
https://boris.unibe.ch/id/eprint/187308 |
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