Pratiques invisibles pour des données de qualité

Value of the Information & Strength of the Argument

The talk provides valuable insights into the often-overlooked work of data curators, drawing on empirical evidence from interviews and document analysis. The argumentation is coherent, building from the context of open science policies to the specific challenges of curation in a national repository. The speaker effectively uses examples to illustrate the friction between researchers and curators, such as the issue with Excel files versus CSV. However, the presentation is more descriptive than analytical, and the speaker does not deeply engage with theoretical frameworks beyond citing relevant literature. The value lies in shedding light on the invisible labor involved in making data FAIR, which is crucial for the open science movement.

Scientific Rigor, Source Quality, Title Accuracy

The talk references several academic works, including Borgman, Plantin, and Néolini, and mentions the FAIR principles. The sources are relevant and appropriately cited, though not all are formally listed. The title accurately reflects the focus on invisible practices, and the content aligns well with the title. The speaker is a professor with relevant expertise, and the study appears methodologically sound, though details are limited. The talk is based on a specific national context, which may limit generalizability, but it offers a valuable case study.

The title accurately reflects the focus on invisible practices in data curation, though the content is more specific to the French national repository.

7/10

The talk is based on a qualitative study with interviews and analysis of curation reports, but it is presented as an expert opinion without detailed methodological transparency or peer review.

Markers derived by PSI from the transcript: the creator did not define chapters.

• 02:00Introduction to the talk and the research project Cador.
• 05:00Context of the French national repository and open science policies.
• 10:00Literature review on data curation and invisible work.
• 15:00Methodology: analysis of curation charters and interviews.
• 20:00Findings on the role of FAIR principles and curation levels.
• 25:00Challenges faced by curators and depositors, including file formats.
• 30:00Discussion on moderation vs. curation and recognition issues.
• 35:00Conclusion and implications for data quality and training.

• Recherche Data Gouv — The national repository discussed in the talk.

• Borgman, C. L. (2015). Big Data, Little Data, No Data: Scholarship in the Networked World. — Referenced in the talk for the idea that repositories accept data based on technical standards, leaving scientific validation to contributors.