TAINACAN AS A PLATFORM FOR INSTITUTIONAL DIGITAL REPOSITORIES
A PROPOSAL FOR AN EVALUATION MATRIX BASED ON FAIR PRINCIPLES AND OPEN SCIENCE
Keywords:
digital repositories, open science, automatic indexing, metadata, access to informationAbstract
The open access movement has transformed scientific communication by promoting the availability of academic production on the internet. In this context, institutional digital repositories have become consolidated as relevant infrastructures for the management, dissemination, and preservation of scientific output from universities. However, the growth in the volume and diversity of digital objects poses challenges related to the description, retrieval, interoperability, and reuse of information. This work aims to evaluate the suitability of the Tainacan platform for use in Institutional Digital Repositories, through an evaluation matrix based on the FAIR principles and the guidelines of Open Science. The research is characterized as exploratory and descriptive, with a qualitative approach, supported by bibliographic and documentary research and comparative analysis, incorporating elements of Design Science Research. The matrix was constructed from the identification, in the literature, of requirements, functionalities, and indicators associated with the dimensions of Findable, Accessible, Interoperable, and Reusable, complemented by aspects related to Open Science. The results indicate potential for Tainacan related to collection organization, faceted searches, taxonomy management, data import and export, and integration with automatic indexing tools. However, the effectiveness of these resources depends on the quality of the metadata, the adoption of controlled vocabularies, institutional policies for indexing, preservation and governance of information, and mechanisms for validating automatically generated metadata.
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