Information Science and Data Science: interdisciplinary convergences

Authors

DOI:

https://doi.org/10.5007/1518-2924.2024.e99127

Keywords:

Information Science, Interdisciplinarity, Data Science, Data Librarian

Abstract

Objective: Identify the interdisciplinary relationships between the areas of Data Science and Information Science, since Information Science is an interdisciplinary field of study that deals with developing techniques and methods for collecting, storing, retrieving, analyzing and disseminating information.

Methods: It is characterized as descriptive, exploratory and bibliographical research, the survey of which took place in interdisciplinary databases at national and international levels.

Results: Studies carried out in the field of Data Science have certain interdisciplinary convergences with Information Science, especially in activities that encompass the Data Life Cycle, in which the information professional can contribute with their skills in the stages of collection, storage, retrieval and discard. Therefore, there is a promising scenario in which Information Science can effectively contribute to the development of new skills and possibilities for working in innovative environments for information professionals.

Conclusions: It is concluded that, as Data Science continues to develop, information professionals who wish to work in the area need to develop new skills to deal with large volumes of data and new Information and Communication Technologies, consolidating the scientific construct of Information Science, making it possible to contribute to the development of Data Science as a new area of knowledge.

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Author Biographies

Sônia Oliveira Matos Moutinho, Instituto Federal do Piauí (IFPI)

PhD student in Information Sciences at PPGCI at Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP), Marília-SP. She has a Master's degree in Education from the University of Vale do Rio dos Sinos, RS, a Bachelor's degree in Library Science from the State University of Piauí (2007). She is deputy editor of the IFPI Scientific Journal, Somma. She is a researcher at the Information Metrics Study Group (GPEMI) and the Information Systems Research Laboratory (LaPeSI), has experience in the area of Library Science and Information Science with an emphasis on Multilevel Libraries, a term coined by the author in 2014 to classify the libraries of the Federal Institutes, works on the following topics: Bibliometrics, Scientometrics, Citation Studies, Domain Analysis, Scientific Publishing, Scientific Communication, OJS and Peer Review, Open Science Funding, Open Access Databases, among others.

Paulo George Miranda Martins, Universidade Estadual Paulista (Unesp)

PhD student in Information Science at the Universidade Estadual Paulista "Júlio Mesquita Filho" (UNESP de Marília), Master in Information Science from the Federal University of São Carlos (UFSCar) and graduated in Library Science and Information Science from the Federal University of São Carlos (UFSCar ). Member of the research groups Information, Technology and Innovation Center (ITI UFSCar) and the Research Group - Data Access Technologies (GPTAD). He is currently a Senior Quality Control Inspector at LATAM Airlines Brasil, in the Maintenance, Overhaul and Overhaul (MRO) center. He has professional skills in the area of aeronautical maintenance, preparation and review of Normative Quality Documents, audits of internal and external processes and, in the implementation of projects that aim to stimulate the continuous improvement of processes in the Maintenance and Quality areas.

Danila Fernandes Alencar, Universidade Estadual Paulista (Unesp)

Graduated in Archivology from Universidade Estadual Paulista Júlio de Mesquita Filho. Master in Information Science from Universidade Estadual Paulista Júlio de Mesquita Filho. Archivist at the Unimar Documentation Center - University of Marília. Member of the Data Access Technology Research Group (GPTAD).

Caio Saraiva Coneglian, Universidade de Marília (UNIMAR); Universidade Estadual Paulista (Unesp)

Doctor and Master in Information Science at UNESP. He has a degree in Computer Science. Coordinator of the undergraduate courses in Systems Analysis and Development and Computer Science at Unimar. Coordinator of the Innovation and Entrepreneurship Center at Unimar. Since 2022 he has participated in the research group ?Administration of Innovative Organizations? from the University of Marília (UNIMAR). Collaborating Professor of the Postgraduate Program in Information Science at UNESP. Professor of the Systems Analysis and Development undergraduate course at Unimar. He has experience in the area of Computer Science and Information Science, with an emphasis on Data Science, Artificial Intelligence, Natural Language Processing, Semantic Web, Databases and Digital Repositories.

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Capa da Revista Encontros Bibli Volume 29, ano 2024

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Published

2024-10-18

How to Cite

MOUTINHO, Sônia Oliveira Matos; MARTINS, Paulo George Miranda; ALENCAR, Danila Fernandes; CONEGLIAN, Caio Saraiva. Information Science and Data Science: interdisciplinary convergences. Encontros Bibli: electronic journal of library science, archival science and information science, Florianópolis/SC, Brasil, v. 29, p. 1–26, 2024. DOI: 10.5007/1518-2924.2024.e99127. Disponível em: https://periodicos.ufsc.br/index.php/eb/article/view/99127. Acesso em: 6 mar. 2026.

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Vol. 29 (2024): Informação e Inclusão: Avanços e Desafios na Era da Ciência Aberta

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Copyright (c) 2024 Sônia Oliveira Matos Moutinho, Paulo George Miranda Martins, Danila Fernandes Alencar, Caio Saraiva Coneglian

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