Classes of errors in DOI names (Data Management Plan)

Ricarda Boente, Arcangelo Massari, Cristian Santini, Deniz Tural
2021 Zenodo  
The data involved in this project are used to answer the following research questions: what are the classes of errors that characterize invalid DOIs? Which classes of errors can be addressed through automatic processes so as to get the correct DOIs? How many correct DOIs and, consequently, citations have been obtained by applying such automatic processing? While searching for answers to these questions, we used DOI names that have been collected by Silvio Peroni while processing data provided
more » ... ing data provided by Crossref, and are provided on public licence in Citations to invalid DOI-identified entities obtained from processing DOI-to-DOI citations to add in COCI (2021), available at the following address:
doi:10.5281/zenodo.4928592 fatcat:q4ekzqrkt5eydeem6u5jxzqsr4