Digital curation: a proposal of a semi-automatic digital object selection-based model for digital curation in Big Data environments

Authors

  • Moisés Lima Dutra Universidade Federal de Santa Catarina
  • Douglas Dyllon Jeronimo de Macedo Departamento de Ciência da Informação Unversidade Federal de Santa Catarina

DOI:

https://doi.org/10.5433/1981-8920.2016v21n2p143

Keywords:

Digital Curation, Big Data, Digital Objects

Abstract

Introduction: This work presents a new approach for Digital Curations from a Big Data perspective. Objective: The objective is to propose techniques to digital curations for selecting and evaluating digital objects that take into account volume, velocity, variety, reality, and the value of the data collected from multiple knowledge domains. Methodology: This is an exploratory research of applied nature, which addresses the research problem in a qualitative way. Heuristics allow this semi-automatic process to be done either by human curators or by software agents. Results: As a result, it was proposed a model for searching, processing, evaluating and selecting digital objects to be processed by digital curations. Conclusions: It is possible to use Big Data environments as a source of information resources for Digital Curation; besides, Big Data techniques and tools can support the search and selection process of information resources by Digital Curations.

Author Biography

Moisés Lima Dutra, Universidade Federal de Santa Catarina

Departamento de Ciência da Informação

Unversidade Federal de Santa Catarina

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Published

2016-12-20

How to Cite

Dutra, M. L., & Macedo, D. D. J. de. (2016). Digital curation: a proposal of a semi-automatic digital object selection-based model for digital curation in Big Data environments. Informação & Informação, 21(2), 143–169. https://doi.org/10.5433/1981-8920.2016v21n2p143

Issue

Section

Artigos