Data Organization Made Easy: Comprehensive Folder Structure Template for Early Career Life/Natural Science Researchers

Creating findable, accessible, interoperable, and reusable (FAIR) data and metadata is essential for researchers. Effective Research Data Management (RDM) is crucial for achieving this, as recognized by funding organizations. Both data FAIRness and RDM rely on well-structured and documented data, including organized storage in a clear folder structure. Establishing a suitable folder structure early on is beneficial, yet junior scientists often struggle due to uncertainty about their needs. Ready-made templates can help establish an initial structure and foster good RDM habits. While templates exist for small-scale projects, a comprehensive folder structure tailored to doctoral research is lacking. This paper presents a folder structure template (FST) designed for PhD candidates in life and natural sciences, encompassing locations for code, results, figures, manuscripts, background information, and administrative paperwork. The FST offers a practical solution for digital data organization, along with best practice RDM recommendations and metadata recording templates. By implementing a thoughtful structure early on and maintaining it consistently, researchers can manage their data more efficiently, leading to improved FAIR data outcomes and faster publication.

Authors

Publication Details

Journal
Data Science Journal
Published
2025-12-02
DOI
https://doi.org/10.5334/dsj-2025-035
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
0.00

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article

Data Organization Made Easy: Comprehensive Folder Structure Template for Early Career Life/Natural Science Researchers

Ron Dockhorn, Yasmin Demerdash, Jeanne Wilbrandt
Data Science Journal
Research Data Management Practices
article

Data Organization Made Easy: Comprehensive Folder Structure Template for Early Career Life/Natural Science Researchers

Ron Dockhorn, Yasmin Demerdash, Jeanne Wilbrandt
article en

Abstract

Creating findable, accessible, interoperable, and reusable (FAIR) data and metadata is essential for researchers. Effective Research Data Management (RDM) is crucial for achieving this, as recognized by funding organizations. Both data FAIRness and RDM rely on well-structured and documented data, including organized storage in a clear folder structure. Establishing a suitable folder structure early on is beneficial, yet junior scientists often struggle due to uncertainty about their needs. Ready-made templates can help establish an initial structure and foster good RDM habits. While templates exist for small-scale projects, a comprehensive folder structure tailored to doctoral research is lacking. This paper presents a folder structure template (FST) designed for PhD candidates in life and natural sciences, encompassing locations for code, results, figures, manuscripts, background information, and administrative paperwork. The FST offers a practical solution for digital data organization, along with best practice RDM recommendations and metadata recording templates. By implementing a thoughtful structure early on and maintaining it consistently, researchers can manage their data more efficiently, leading to improved FAIR data outcomes and faster publication.

Data Science JournalVol. 24
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 49%
Research Data Management Practices
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