Overview of global open access resource aggregation services and their requirements for data providers
Abstract
The paper presents an overview of modern global aggregators of open access documents. Their statistical characteristics are analysed, such as the number of collected document descriptions and full texts, the number of data providers, and the availability of application programming interface to obtain data. The types of data providers, such as institutional repositories, open journals, publishers, scientific repositories of preprints, thematic digital libraries, and systems that are also aggregators, are analysed. We also investigate what kind of information about documents these aggregators collect and how it is presented in the user interface, as well as what information is collected about their data providers and how it is presented in the user interface. How the aggregator interacts with data providers, what data exchange protocols are supported, and how often the collected data is updated. Also, modern aggregators based on collected data corpora, using machine learning methods, bibliometrics, webometrics, altmetrics, semantometrics, provide a range of useful services to researchers. As developers of a certain number of scientific digital libraries, we are already registered as data providers in some of these systems. Therefore, we are familiar with their requirements in the practical sense. In this paper, we have attempted to summarise these requirements.
Prombles in programming 2025; 1: 38-54
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