Abstract
The global network of scholarly repositories for the publication and dissemination of scientific publications and related materials can already look back on a history of more than twenty years. During this period, there have been many developments in terms of technical optimization and the increase of content. It is crucial to observe and analyze this evolution in order to draw conclusions for the further development of repositories. The basis for such an analysis is data. The Open Archives Initiative (OAI) service provider Bielefeld Academic Search Engine (BASE) started indexing repositories in 2004 and has collected metadata also on repositories. This paper presents the main features of a planned repository monitoring system. Data have been collected since 2004 and includes basic repository metadata as well as publication metadata of a repository. This information allows an in-depth analysis of many indicators in different logical combinations. This paper outlines the systems approach and the integration of data science techniques. It describes the intended monitoring system and shows the first results.
Highlights
The repository landscape and the emerging associated community began its development around2001 in the context of the journal crisis, the Berlin Declaration, and in some respects, the first definition of the Open Archives Initiative-Protocol for Metadata Harvesting (OAI-PMH) protocol in 2001 [1].From our librarianship point of view, our first contact with repositories was when we were looking for academic metadata to set up a search engine for scientific content
It was in some ways a happy coincidence that Bielefeld Academic Search Engine (BASE) decided to opt for OAI-PMH and skipped crawling websites of academic institutions
Another relevant topic is the creation of analytical profiles of the technical backbone of the communication, especially with regard to the technical behavior of the interface for metadata delivery
Summary
The repository landscape and the emerging associated community began its development around. From our librarianship point of view, our first contact with repositories was when we were looking for academic metadata to set up a search engine for scientific content To be honest, it was in some ways a happy coincidence that Bielefeld Academic Search Engine (BASE) decided to opt for OAI-PMH and skipped crawling websites of academic institutions. OAI repositories increased significantly in the first phase, and in comparison, it became clear that repositories provided a much better quality of bibliographic information than crawled websites This was the main reason why BASE (Bielefeld Academic Search Engine)—originally designed as a library meta-search-system—switched to the upcoming repository infrastructure and started collecting metadata about publications and about the data sources from which they originated (attributes of the repositories)
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