期刊
PURE AND APPLIED CHEMISTRY
卷 95, 期 4, 页码 439-450出版社
WALTER DE GRUYTER GMBH
DOI: 10.1515/pac-2022-1001
关键词
Academic publishing; cheminformatics; chemistry; data repositories; education; FAIR research data; interoperability; metadata; research data; scientific journals; standards; validation; workflows
Journals play a crucial role in shaping community behavior through communicating research results. Publishing research data alongside journal articles is considered good practice. This article analyzes author guidelines from various publishers and journals in the field of chemistry and identifies areas for improvement in supporting different criteria.
As the primary method of communicating research results, journals garner an enormous impact on community behavior. Publishing the underlying research data alongside journal articles is widely considered good scientific practice. Ideally, journals and their publishers place these recommendations or requirements in their author guidelines and data policies. Several efforts are working to improve the infrastructure, processes, and uptake of research data sharing, including the NFDI4Chem consortium, working groups within the RDA, and IUPAC, including the WorldFAIR Chemistry project. In this article, we present the results of a large-scale analysis of author guidelines from several publishers and journals active in chemistry research, showing how well the publishing landscape supports different criteria and where there is room for improvement. While the requirement for deposition of X-ray diffraction data is commonplace, guidelines rarely mention machine-readable chemical structures and metadata/minimum information standards. Further evaluation criteria included recommendations on persistent identifiers, data availability statements, data deposition into repositories as well as of open analytical data formats. Our survey shows that publishers and journals are starting to include aspects of research data in their guidelines. We as authors should accept and embrace the guidelines with increasing requirements for data availability, data interoperability, and re-usability to improve chemistry research.
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