Vocabularies for research data publishing in the linked data principles

• Grant number: 18/23655-6
• Support Opportunities: Scholarships in Brazil - Master
• Start date: March 01, 2019
• End date: February 28, 2021
• Field of knowledge: Applied Social Sciences - Information Science - Library and Information Science
• Principal Investigator: Ana Carolina Simionato Arakaki
• Grantee: Kazumi Tomoyose
• Host Institution: Centro de Educação e Ciências Humanas (CECH). Universidade Federal de São Carlos (UFSCAR). São Carlos , SP, Brazil

Abstract

In view of the technological development provided by the advent of the Internet and the Web, the importance and the recognition of data as information sources grow. In this context, the data generated from researches are increasingly estimated, since their publication allows the foundation of the results obtained with the scientific works, also helping in the production of new knowledge in a sustainable way. Thus, it is observed the need to assign order to these research data, so as to optimize their retrieval. For this purpose, it could be used vocabularies. From the standardization of data representation, vocabularies allow data to be organized and retrieved efficiently. When considering the Web environment, especially the Semantic Web, the discovery of new data is also improved, using Linked Data principles. Thus, through exploratory, descriptive and theoretical research, we seek to analyze the vocabularies, destined to data control, applied to research data, aligned to Linked Data. The results are expected to point to new perspectives regarding vocabularies in Linked Data context, as well as to the organization of research data, contributing to the development and improvement of the area of Information Science.

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

TOMOYOSE, KAZUMI; SIMIONATO ARAKAKI, ANA CAROLINA. Vocabularies for Publishing Research Data. CATALOGING & CLASSIFICATION QUARTERLY, DEC 2021. (18/23655-6)