From data discovery to access: a use case of how the FAIR principles have been leveraged to design Quetelet-Progedo

Quetelet-Progedo (https://data.progedo.fr/) is the French national data infrastructure Progedo’s (https://www.progedo.fr/) data repository dedicated to the quantitative social sciences and humanities. Its current holdings consist of almost 1,700 datasets produced by over 100 data producers and cover a wide range of topics relevant to the social sciences (e.g., demographics, income, employment).Since its conception, Quetelet-Progedo has been designed with the goal of facilitating data discovery and access by leveraging the FAIR principles. The latest version, which was launched in spring 2024, is demonstrative of this pursuit as Quetelet-Progedo now offers improved access to pseudonymised data while striking a balance between security and facility of access.This presentation will therefore examine the important role played by the FAIR principles in designing Quetelet-Progedo to arrive at its current state. It will also reflect on how these same principles can be further exploited to drive future enrichments to Quetelet-Progedo that will improve user experience vis-à-vis data discovery and access.

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Publication Details

Journal
SPIRE - Sciences Po Institutional REpository
Published
2025-06-05
DOI
https://doi.org/10.5281/zenodo.15673609
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
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article

From data discovery to access: a use case of how the FAIR principles have been leveraged to design Quetelet-Progedo

Nicolas Sauger, Ami Saji, Frédérique Gros
SPIRE - Sciences Po Institutional REpository
Research Data Management Practices
article

From data discovery to access: a use case of how the FAIR principles have been leveraged to design Quetelet-Progedo

Nicolas Sauger, Ami Saji, Frédérique Gros
article en

Abstract

Quetelet-Progedo (https://data.progedo.fr/) is the French national data infrastructure Progedo’s (https://www.progedo.fr/) data repository dedicated to the quantitative social sciences and humanities. Its current holdings consist of almost 1,700 datasets produced by over 100 data producers and cover a wide range of topics relevant to the social sciences (e.g., demographics, income, employment).Since its conception, Quetelet-Progedo has been designed with the goal of facilitating data discovery and access by leveraging the FAIR principles. The latest version, which was launched in spring 2024, is demonstrative of this pursuit as Quetelet-Progedo now offers improved access to pseudonymised data while striking a balance between security and facility of access.This presentation will therefore examine the important role played by the FAIR principles in designing Quetelet-Progedo to arrive at its current state. It will also reflect on how these same principles can be further exploited to drive future enrichments to Quetelet-Progedo that will improve user experience vis-à-vis data discovery and access.

SPIRE - Sciences Po Institutional REpository
Centre National de la Recherche Scientifique (FR), Institut d'Etudes Politiques de Paris (FR), Centre de données socio-politiques de Sciences Po
Openalex Percentile: Top 51%
Research Data Management Practices
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