Journal research data policies in materials science

Hörmann, Lukas and Myneni, Hemanadhan and Al-Hamd, Rwayda Kh S. and Batalović, Katarina and Bonfanti, Silvia and Grasselli, Federico and Gražulis, Saulius and Koç, Bahattin and Konstantinou, Konstantinos and Lončarić, Ivor and Lopanitsyna, Nataliya and Oliveira, José Manuel and Pegolo, Paolo and Ramos, Patrícia and Rossi, Kevin and Schwaminger, Sebastian P. and Simmen, Edith and Todorović, Milica and Stricker, Markus and Schmidt, Jonathan (2026) Journal research data policies in materials science. Digital Discovery . ISSN 2635-098X Published Online First https://dx.doi.org/10.1039/d6dd00111d

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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.
Item Type: Article
Divisions: Faculty of Engineering and Natural Sciences
Depositing User: Bahattin Koç
Date Deposited: 01 Jul 2026 15:24
Last Modified: 01 Jul 2026 15:24
URI: https://research.sabanciuniv.edu/id/eprint/54189

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