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. The function get.stats()
extracts all statistical results from text and recomputes
p-values for many standard test statistics. It performs a
consistency check of the reported with the recalculated
p-values. An estimation of the involved sample size is
performed based on textual 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>, Böschen, I. (2023)
<doi:10.1038/s41598-022-27085-y>, and Böschen, I. (2024)
<doi:10.48550/arXiv.2408.07948>.
