What are Research Data?
Research data can be classified according to their nature and origin, and may be quantitative, qualitative, spatial, temporal, or experimental. Understanding these categories and their examples is essential to ensure proper, organized, and reusable management of scientific information.
Useful informations :
- Text documents
- Spreadsheets
- Questionnaires, interview transcripts
- Audio and video recordings
- Photographs, films
- Collections of digital objects
- Artistic works, performances
- Bibliographies, annotations, archival notes
- Primary and secondary sources
- Stemmata, archival description instruments, textual corpora, critical apparatus
- Thematic research collections, critical editions
- Laboratory notebooks, logbooks
- Field notebooks, diaries, focus group notes
- Test and survey responses
- Artifacts, specimens, samples
- Models, algorithms, scripts
Access to previously collected research data makes it possible to save resources, accelerate scientific discoveries, and promote comparative analyses. Reuse should be carried out responsibly, respecting licenses, consent agreements, and ethical restrictions associated with the data.
Data can be obtained from trusted repositories, as well as from public databases, scientific collaboration platforms, supplementary data from publications, research consortia, institutional agreements, or Citizen Science projects.
Useful informations:
According to the FAIR principles (Findable, Accessible, Interoperable, and Reusable), data should be easy to locate, accessible under clearly defined rules, presented in standardized formats and languages, and described in sufficient detail to enable reuse.
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