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What is Data Curation

Handbook of Research on Information and Records Management in the Fourth Industrial Revolution
It is the management of data from its originality to the point it becomes out-dated and useless.
Published in Chapter:
Research Data Management in an Academic Library
Chidi Onuoha Kalu (National Institute of Construction Technology and Management, Uromi, Nigeria), Esther Ihechiluru Chidi-Kalu (Nigeria Library Association, Nigeria), and Titilola Abigail Mafe (National Library of Nigeria, Nigeria)
DOI: 10.4018/978-1-7998-7740-0.ch003
Abstract
Academic libraries need to store, preserve, and manage scholars' intellectual output, hence the importance of research data management in academic libraries. This chapter focuses on research data management in academic libraries, and it aims at examining the concept of research data, which is referred to as the evidence used to inform or support research conclusions, while data management, on the other hand involves planning for and creating data, organizing, structuring, and documenting data, backing up and storing data, and preparing data for analysis to share with others or to preserve for the long-term.
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Research Data Management in Kenya's Agricultural Research Institutes
The organization and integration of data collected from various sources and it involves capturing, appraisal, description, preservation, access, use and reuse, and sharing of research data.
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Research Data Management
A complex activity for the active and ongoing management of data through its lifecycle in order to preserve, share, and discover it.
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Transforming RDM Conversations Into Collaborations: From Projects to Programs to Policy
A data lifecycle management process of providing descriptive, annotative, and representative information for research data through metadata.
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Integrating Data Management and Collaborative Sharing with Computational Science Research Processes
The preservation and management of scientific data specifically for continuous reuse by identified, dedicated user groups.
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Big Data Analysis in IoT
The Management of Data throughout its Lifecycle.
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Big Data Issues and Challenges
The extraction, moving, cleaning, and preparing of data for storage and processing.
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Research Data Management (RDM) in the Fourth Industrial Revolution (4IR) Era: The Case for Academic Libraries
It is the process of gathering, maintaining, and managing data throughout its lifecycle in order to make it more accessible and useful for end users.
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Orienting Data Services in the Library: Evolution of a Digital Scholarship Services Department
The organization and integration of data collected from various sources, involving annotation, publication, and presentation of data such that the value of the data is maintained over time.
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