Research Article
Librarianship in the Age of Data Science: Data Librarianship Venn Diagram
@INPROCEEDINGS{10.1007/978-3-030-50072-6_10, author={Alexandre Ribas Semeler and Adilson Luiz Pinto}, title={Librarianship in the Age of Data Science: Data Librarianship Venn Diagram}, proceedings={Data and Information in Online Environments. First EAI International Conference, DIONE 2020, Florian\^{o}polis, Brazil, March 19-20, 2020, Proceedings}, proceedings_a={DIONE}, year={2020}, month={6}, keywords={Data librarianship Information science E-science Data science}, doi={10.1007/978-3-030-50072-6_10} }- Alexandre Ribas Semeler
Adilson Luiz Pinto
Year: 2020
Librarianship in the Age of Data Science: Data Librarianship Venn Diagram
DIONE
Springer
DOI: 10.1007/978-3-030-50072-6_10
Abstract
A Venn diagram is used in mathematics to graphically symbolise properties, axioms, and problems concerning sets and their theories. Thus, this study applied a Venn diagram to describe a theoretical background for data librarianship as a field relating to information science, e-science, and data science. Data librarianship is a new area of study that is located within the thematic core of the triad. The first set on the proposed Venn diagram is information science. Information technology concepts are fundamental to the comprehension of data librarianship in the context of information science. The second set is e-science, an innovative field that incorporates software and hardware that have been built by technology into science. The third set is data science, a way of representing data-driven research in the most diverse knowledge fields; it is a set of the skills, methods, techniques, and technologies of statistics and computer science used to extract knowledge and to create new products and services from data. To ensure greater comprehension of data librarianship, a relatively new field, we suggest some reading materials. The formal discipline of data librarianship is yet to be established in many countries across the globe. Thus, there is the lack of adequate information and certification on data librarianship.
