JATSdecoder: A Metadata and Text Extraction and Manipulation Tool Set

Provides a function collection to extract metadata, sectioned text and study characteristics from scientific articles in 'NISO-JATS' format. Articles in PDF format can be converted to 'NISO-JATS' with the 'Content ExtRactor and MINEr' ('CERMINE', <https://github.com/CeON/CERMINE>). For convenience, two functions bundle the extraction heuristics: JATSdecoder() converts 'NISO-JATS'-tagged XML files to a structured list with elements title, author, journal, history, 'DOI', abstract, sectioned text and reference list. study.character() extracts multiple study characteristics like number of included studies, statistical methods used, alpha error, power, statistical results, correction method for multiple testing, software used. An estimation of the involved sample size is performed based on reports within the abstract and the reported degrees of freedom within statistical results. In addition, the package contains some useful functions to process text (text2sentences(), text2num(), ngram(), strsplit2(), grep2()). See Böschen, I. (2021) <doi:10.1007/s11192-021-04162-z> Böschen, I. (2021) <doi:10.1038/s41598-021-98782-3> and Böschen, I (2023) <doi:10.1038/s41598-022-27085-y>.

Getting started

Package details

AuthorIngmar Böschen [aut, cre] (<https://orcid.org/0000-0003-1159-3991>)
MaintainerIngmar Böschen <ingmar.boeschen@uni-hamburg.de>
LicenseGPL-3
Version1.2.0
URL https://github.com/ingmarboeschen/JATSdecoder
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("JATSdecoder")

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JATSdecoder documentation built on Oct. 12, 2023, 5:13 p.m.