Protocol PROCI v2

We present a step-by-step methodology for the systematic extraction, alignment, and analysis of peer review data from Crossref to enhance the OpenCitations Index. The protocol delineates four key phases: data gathering, data processing, post-processing, data analysis and data visualization. The first two research questions were addressed during the data processing and post-processing phases, while the answers to the third, fourth, and fifth questions were found during the data analysis phase. Purpose: The purpose of this study is to create a citation index that includes typed citations where a peer review (citing entity) reviews a publication (cited entity). Study Design and Methodology: The study involves analyzing and manipulating the 2023 Crossref data dump. Crossref is a non-profit organization that facilitates the exchange of scholarly metadata. The outcome of the study is the development of a software capable of extracting typed entities identified as peer reviews from Crossref dataset and integrating additional information about the reviewed entities from the same dataset. This software generates CSVs and a Turtle file that conform to the OpenCitations Data Model. Findings: Based on Crossref data, it is determined that the journal receiving the most peer reviews is PeerJ. Furthermore, it is found that approximately 5689 out of 348463 of Crossref’s peer reviews are present in Meta (1.6% ); 70260 are the Publications in Meta over the 77660 found in Crossref ( 90,5%). Originality: This study enhances scholarly metadata and deepens the understanding of research impact by proposing a novel citation index that captures peer review interactions.