Generated by GPT-5-mini| JATS (Journal Article Tag Suite) | |
|---|---|
| Name | JATS |
| Developer | National Information Standards Organization; National Library of Medicine |
| Released | 2012 (NISO standard ANSI/NISO Z39.96-2012) |
| Latest release | 1.3 (2019) |
| Operating system | Cross-platform |
| Genre | XML schema for scholarly articles |
| License | Open standard |
JATS (Journal Article Tag Suite) is an XML-based schema used to represent the content and metadata of scholarly articles for interchange, archiving, and publication workflows. It provides a standardized set of tags to describe article components such as titles, authors, abstracts, figures, tables, references, and metadata, enabling interoperability among digital libraries, publishers, and repositories. JATS is widely adopted across academic publishers, libraries, indexing services, and preservation initiatives to facilitate machine-readable articles and automated processing.
JATS encodes the structure and semantics of scholarly articles in XML, aligning with archival, dissemination, and typesetting needs. The suite specifies element sets for article front matter, body content, back matter, inline elements, and metadata, and it supports multiple publishing models including peer-reviewed journals, conference proceedings, and technical reports. JATS is designed to work with complementary standards and systems such as the Digital Object Identifier initiatives at CrossRef, preservation programs like LOCKSS, and national libraries such as the National Library of Medicine and the British Library.
JATS evolved from initiatives at the National Library of Medicine to capture biomedical literature in a machine-readable form, tracing roots to earlier efforts like the NLM DTD family and XML work undertaken by organizations including Elsevier, Springer Nature, and Wiley. The National Information Standards Organization (NISO) formalized the suite as ANSI/NISO Z39.96-2012, bringing participation from stakeholders such as the International Committee of Medical Journal Editors, the Wellcome Trust, and the Open Access movement advocates. Revisions and versioning have involved coordination between standard bodies, university presses such as Oxford University Press, consortia like SPARC, and government agencies including the U.S. National Institutes of Health.
The JATS model partitions an article into front, body, and back sections, with specific tags for metadata elements like article-title, contrib, aff, abstract, sec, fig, table-wrap, and ref-list. It supports granular markup for authorship elements tied to institutional affiliations such as Harvard University or Massachusetts Institute of Technology, funder metadata referencing entities like the National Science Foundation or European Commission, and identifiers handled by registries such as ORCID and CrossRef. Inline markup accommodates mathematical notation often produced by tools associated with LaTeX Project, chemical notation used by publishers including American Chemical Society, and specialized tagging for clinical trials registries like ClinicalTrials.gov.
Publishers and repositories use JATS to normalize incoming manuscripts and to generate output formats including HTML, PDF, EPUB, and metadata feeds for indexing services like PubMed Central, Scopus, and Web of Science. Institutional repositories at universities such as Stanford University, University of Cambridge, and University of Tokyo ingest JATS for preservation and discovery. JATS supports content exchange among editorial systems from vendors like Manuscript Central and platform providers such as HighWire Press and arXiv-adjacent workflows, and it has been adopted by aggregators including ProQuest and EBSCO for metadata interoperability.
The JATS family includes flavors and profiles addressing varying needs: the archival tag set used by repositories, and the article and authoring tag sets for publisher workflows. Major published versions include NISO Z39.96-2012 and subsequent updates culminating in JATS 1.3. Standardization involved coordination with bodies like the International Organization for Standardization-related communities and interactions with libraries and publishers including The Library of Congress, European Research Council, and commercial houses such as Taylor & Francis.
A robust ecosystem of tools supports JATS authoring, conversion, validation, and rendering. XML editors and toolchains produced by companies and projects such as OASIS, Adobe Systems, and the open-source Apache Software Foundation projects (for example, Apache FOP) are commonly used. Validation tools, XSLT stylesheets, and conversion utilities have been developed by groups like the National Information Standards Organization and the National Library of Medicine, while commercial platforms from Atypon and Silverchair provide end-to-end publishing systems that consume and produce JATS. Content management systems at institutions including Columbia University and services like Figshare integrate with JATS-based workflows for metadata exchange.
JATS has influenced discoverability, long-term preservation, and automated processing of scholarly literature across publishers such as Nature Publishing Group, PLOS, IEEE, and BMJ Group. Its adoption has enabled large-scale text and data mining efforts supported by projects and funders including Horizon 2020, Wellcome Trust, and the Bill & Melinda Gates Foundation, by providing consistent structural markup for full-text articles. Archival initiatives at organizations like PubMed Central and national libraries rely on JATS for ingest and preservation, while indexing services including Google Scholar and CrossRef benefit from standardized metadata to enhance citation linking and article-level metrics. The suite continues to shape tooling, policy, and interoperability in scholarly communication among publishers, repositories, funders, and research institutions.
Category:XML-based standards