Code and Data for Article "Journal Research Data Policies in Materials Science" (Digital Discovery)

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Authors: Lukas Hörmann, Hemanadhan Myneni, Rwayda Kh. S. Al‐Hamd, Katarina Batalović, Silvia Bonfanti, Federico Grasselli, Saulius Gražulis, Bahattin Koc, Konstantinos Konstantinou, Ivor Lončarić, Nataliya Lopanitsyna, J GG Oliveira
+7 more Paolo Pegolo, Patricia Alexandra Gregório Ramos, Kevin Rossi, Sebastian Schwaminger, Edith Simmen, Milica Todorović, Markus (Jun.-Prof. Dr.-Ing.) Stricker
Cited by: 1

Abstract

Open and reproducible research in materials science relies on the availability of data, code, and established metadata standards. Journal research data policies (RDPs) are a primary mechanism by which these community norms are enforced. We survey RDPs for 171 materials science journals spanning 17 publishers, using an expanded coding framework that captures both data-and-code sharing behavior as well as refereeing standards. We find clear signs of progress in comparison to earlier research on RDPs: nearly all journals provide an RDP, and most mention data availability statements. However, enforceable requirements remain uncommon, public deposition of underlying data is rarely mandatory, and FAIR publication is typically encouraged rather than required. Expectations for research software are substantially less developed than those for data, with limited attention to versioning and persistent identifiers, dependency disclosure, reproducible execution environments, or software quality practices. Aggregating the findings on policy features into an open research data score reveals pronounced heterogeneity across journals. Neither impact factor nor access model reliably predicts policy strength. Double-coding further shows that more complex policies and stricter policies can be more challenging to interpret consistently, and we highlight challenges in consistent RDP encoding across studies. Lastly, we conclude with recommended best practice directions for the future.

Fields of Study & Subjects

Research Data Management Practices Scientific Computing and Data Management scientometrics and bibliometrics research

Publication details

Journal / source
Research Explorer (The University of Manchester)
Publication date
3 June 2026
Language
EN