Enhancing Code Discovery: The ODISSEI Code Library

Sharing analytical code as a part of scientific publication enhances trust by allowing scrutiny and replication of results, promoting collaborative learning. This holds true even when code runs on sensitive data that cannot be distributed alongside the code. However, there are many barriers to code sharing, ranging from a lack of time to prepare it to concerns over research scooping (see Krähmer, Schächtele and Schneck, 2023). Moreover, the incentives for sharing well-documented code are often low, since pieces of code scattered across different registries (e.g., OSF, Zenodo, ResearchBox) are difficult to find and reuse.At ODISSEI, the Dutch national infrastructure for the social sciences, we started building a library of analytical code used in studies using the LISS panel data and the administrative microdata held by Statistics Netherlands (CBS) to make them easier to retrieve and reuse (see https://odissei-data.github.io/ODISSEI-code-library/). For each project, next to the link to the code, we provide the link to the paper and, when available, a DOI directly pointing to the dataset used. The ODISSEI Code Library can be used for searching code on a given topic. Moreover, its content is harvested by the ODISSEI Knowledge Graph, which enables complex queries across the different ODISSEI facilities.The presentation will focus on the set up of the ODISSEI Code Library and its contribution to open knowledge. Practical steps on how to build a similar catalog will be offered. Moreover, it will be shown how the code library allows promoting good practices with code sharing for the whole ODISSEI community.