March 3, 2026Open Access

Data management introduction

Key Points

Good data management practices enhance the reliability of scientific data sharing, promoting transparency.
Key principles include FAIR guidelines, emphasizing Findability, Accessibility, Interoperability, and Reusability of data.
The presentation covers essential topics such as metadata, data repositories, and organizational practices for effective data handling.
Understanding these concepts is crucial for biologists to comply with legal data sharing requirements and to support Open Science.

Abstract

The presentation provides an overview of good data management practices and key principles for correctly sharing and disseminating data. It is designed for non-IT specialists (particularly biologists) as an introduction to Data Management, F.A.I.R. principles, and Open Science. A crisis? Introduction and concepts (data, F.A.I.R., open science, law requirements, data management plan) Good organizational practices (directories, ReadMe file, naming, format, version, storage, security, backup) Good description and documentation (meta-data, controlled vocabulary, tidy data table, software, persistent identifier, open data, data protection, license, data repositories) Valuation, deletion Conclusion Workshop session lasting approximately 3 hours.

Data management introduction

Key Points

Abstract

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