On building a tool for finding datasets based on a list of researchers or publications

Abstract

This proposal presents a tool developed in the Python language used to find related datasets of a list of researchers or publications. This tool was applied to a list of articles that a specific group of researchers had declared in their CVs. The target group was chosen based on the highest level that these researchers had obtained in a research productivity grant (1A). As a result, form a list of 1,227 researchers and more than 225 thousand deduplicated publications, it was possible to find 12,030 related datasets, were the most frequent access type is OPEN and the five most frequent related areas of research are Zoology; Chemistry; Genetics; Physics; and Agronomy. The proposed tool will be applied to facilitate populating the research data repository of the national funding agency in Brazil, but it can also be used in other more general contexts, extracting information from open databases, such as ORCID and Wikidata.