Study "Adapting open science": data from the "data and open science" questionnaire (2021)

Updated at: 24/10/2022
Dataset of the "data and open science" questionnaire of the study Declining open science (Decliner-SO).

The results of the study underline the importance of going beyond the single disciplinary reading grid (technical sciences and medicine versus humanities and social sciences) and distinguishing other factors to differentiate various practices associated with data. . These factors are, for example, the individual or collective nature of the work, the research approach (work environment, research quality criteria, relationship to data, etc.), learning tools and methods, or the status and research positions (doctoral students, permanent staff, etc.).

 

The Adapting Open Science study was carried out as part of the “Successfully appropriating Open Science” project led by the Committee for Open Science. It was carried out by a multi-disciplinary and professional working group of the “Research Data” college.

This project ran from May 2020 to December 2021 and was composed of three work streams:

• The design and organization of Open Science Legal Workshops (OSLA)

• Participation in the Electronic Lab Notebook Working Group (ELN WG)

• The Adapting Open Science study, which is the subject of the summary below.

 

 The “Adapting Open Science” study began with a field survey of research professionals in various disciplines to:

• better understand the practices associated with data and their evolution with Open Science,

• understand the factors that differentiate these practices (discipline, research approach, etc.),

• provide support adapted to the needs of different research communities.

 

The study aimed to answer two questions:

1. What factors should be taken into consideration to better understand the diversity of practices associated with data in research?

2. How can we support the evolution of data practices in relation to the incentives/obligations brought about by Open Science policies?

 

Text from Ouvrir la science

Gruson-Daniel, Célya; Lemercier Claire; Vanet Anne; Hueber Juliette; Chambefort Hélène; Herbet Marie, 2022, "Étude "décliner la science ouverte" : données issues du questionnaire "données et science ouverte" (2021)", https://doi.org/10.57745/V64RYT, Recherche Data Gouv, V1, UNF:6:FooFr6+8PlFHepY6OMTvTA== [fileUNF]