Accelerating social science knowledge production with the coordinated open-source model
Konrad Turek ()
Additional contact information
Konrad Turek: Tilburg University
Quality & Quantity: International Journal of Methodology, 2025, vol. 59, issue 2, No 3, 767-795
Abstract:
Abstract With the growing complexity of knowledge production, social science must accelerate and open up to maintain explanatory power and responsiveness. This goal requires redesigning the front end of the research to build an open and expandable knowledge infrastructure that stimulates broad collaborations, enables breaking down inertia and path dependencies of conventional approaches, and boosts discovery and innovation. This article discusses the coordinated open-source model as a promising organizational scheme that can supplement conventional research infrastructure in certain areas. The model offers flexibility, decentralization, and community-based development and aligns with open science ideas, such as reproducibility and transparency. Similar solutions have been successfully applied in natural science, but social science needs to catch up. I present the model’s design and consider its potential and limitations (e.g., regarding development, sustainability, and coordination). I also discuss open-source applications in various areas, including a case study of an open-source survey harmonization project Comparative Panel File.
Keywords: Open science; Open source; Knowledge infrastructure; Innovation; Path dependency (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11135-024-02020-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:qualqt:v:59:y:2025:i:2:d:10.1007_s11135-024-02020-7
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11135
DOI: 10.1007/s11135-024-02020-7
Access Statistics for this article
Quality & Quantity: International Journal of Methodology is currently edited by Vittorio Capecchi
More articles in Quality & Quantity: International Journal of Methodology from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().