JATS is a word often used in academic publishing and refers to a specific file format used to store scholarly articles. The spelling of JATS can be explained through the use of the IPA phonetic transcription system, with the initial letter "j" being pronounced like the "j" in "jump," followed by the vowel sound "æ" as in "cat," and ending in the consonant cluster "ts" which is pronounced with a sharp "t" followed by a hissing "s" sound. The word is commonly pronounced as "jats" by those in the publishing industry.
JATS (Journal Article Tag Suite) is an XML (Extensible Markup Language) standard used for the interchange and storage of scientific and scholarly journal articles. It serves as a robust format for the representation and structure of journal articles in electronic form.
JATS provides a framework for encoding and storing various components of a journal article, including the title, author names, abstract, introduction, methodology, results, discussion, and references. The standard also includes provisions for tagging various elements such as sections, paragraphs, headings, tables, figures, and equations, among others. By using JATS, the content and structure of a journal article can be accurately and unambiguously represented, ensuring its compatibility across different electronic systems, platforms, and publishing workflows.
JATS aims to facilitate the dissemination and exchange of scholarly information in a standardized manner, thereby enhancing the interoperability and discoverability of research literature. It enables publishers, authors, and researchers to easily create, transform, and exchange journal articles in digital form, ensuring consistency and integrity throughout the publication process.
JATS is widely adopted by academic publishers, libraries, and scholarly organizations around the world, providing a common framework for the archiving, indexing, and preservation of scholarly literature. It also supports the development of value-added services and applications that rely on structured journal article data, such as text mining, content aggregation, citation analysis, and semantic enrichment.