Data Management – An Introduction to Good Practice in Handling your Research Data
Open access
Author
Date
2024-03Type
- Presentation
ETH Bibliography
yes
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Abstract
In today's research landscape, the volume and complexity of data generated across diverse disciplines continue to surge, underscoring the critical importance of robust data management practices. This lecture provides a comprehensive overview of strategies and best practice principles for handling research data. Participants will learn about key aspects of the different stages of the data lifecycle, from data management planning and organisation to data preservation and sharing. Attendees will gain an understanding of the following core topics:
- Best practices for data management according to the FAIR data principles;
- Strategies for data documentation and metadata creation;
- Open Science aspects of data handling and principles of data publishing;
- Advise on identifying suitable data repositories for publishing research data;
- Importance of data preservation for ensuring the longevity and accessibility of research outputs;
- Compliance with institutional and funder requirements for data archiving;
- Adoption of standards for long-term data preservation;
- Ethical and legal boundary conditions of research data handling and sharing;
The lecture equips students and researchers with the knowledge necessary to navigate the terrain of research data management. Embracing effective data management practices supports participants to enhance the quality and impact of their research and equips them with valuable knowledge to contribute to the advancement of Open Science and scholarly collaboration. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000664008Publication status
publishedPublisher
ETH Library, Research Data Management and Digital CurationEvent
Subject
Research Data Management; Research Data Life Cycle; Open ScienceOrganisational unit
08541 - Forschungsdienstleist. ETH-Bibliothek
Notes
Presentation on March 14, 2024.More
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ETH Bibliography
yes
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