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What is Research Data Management

Chapter 72

Encyclopedia of Data Science and Machine Learning

An integral part of the research process, helping to ensure that datasets, pertaining to a project are properly organized, described, preserved, and shared. By involving the care and maintenance of the data, RDM is exercised in the course of the given research cycle.

Published in Chapter:

Research Data Management

Tibor Koltay (Eszterházy Károly Catholic University, Hungary)

Source Title: Encyclopedia of Data Science and Machine Learning

DOI: 10.4018/978-1-7998-9220-5.ch072

Abstract

This chapter explains the main aspects and the importance of being familiar with research data management (RDM), stressing the centrality of the research data lifecycle and the importance of data sharing, whereby the ideas of the FAIR principles are characterized as a main driver of reuse. The importance of data management plans is emphasized as well. RDM processes such as adding metadata, citing, retrieving, and curating datasets are portrayed. The need for cooperating between disciplinary researchers and different data professionals, such as data librarians and data curators, is highlighted. Moreover, it is underlined that a number of educational programs to data science also contain data management.