Table 2.
Document type policies in WoS and Scopus.
| Database | Document type | Description |
|---|---|---|
| WoS (https://webofscience.help.clarivate.com/en-us/Content/document-types.html) | Article | Reports of research on new and original works that are considered citable. Includes research papers, brief communications, technical notes, chronologies, full papers, and case reports (presented like full papers) that were published in a journal and/or presented at a symposium or conference. Articles usually include author abstract, graphs, tables, and lists of cited references. |
| Data paper | A scholarly publication describing a particular dataset or collection of datasets and usually published in the form of a peer-reviewed article in a scholarly journal. The main purpose of a data paper is to provide facts about the data (metadata, such as data collection, access, features etc.) rather than analysis and research in support of the data, as found in a conventional research article. A Data Paper will have a dual document type: Article; Data Paper. Prior to 2016, a Data Paper was processed as an Article only. | |
| Scopus (https://www.elsevier.com/__data/assets/pdf_file/0007/69451/ScopusContentCoverageGuideWEB.pdf) | Article | Original research or opinion. Articles in peer-reviewed journals are usually several pages in length, most often subdivided into sections: abstract, introduction, materials & methods, results, conclusions, discussion, and references. However, case reports, technical and research notes and short communications are also considered to be articles and may be as short as one page in length. Articles in trade journals are typically shorter than in peer-reviewed journals, and may also be as brief as one page in length. |
| Data paper | Searchable metadata documents describing an online accessible dataset, or group of datasets. The intent of a data paper is to offer descriptive information on the related dataset(s) focusing on data collection, distinguishing features, access, and potential reuse rather than information on data processing and analysis. |