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How to Manage Your Data : An Overview of Research Data Management / Andrew Cox.
- Format:
- Book
- Author/Creator:
- Cox, Andrew, author.
- Language:
- English
- Subjects (All):
- Research--Management.
- Research.
- Acquisition of data sets.
- Physical Description:
- 1 online resource
- Place of Publication:
- London : SAGE Publications Ltd, 2025.
- Summary:
- Research data management (RDM) is the planned collection, processing, storage, use, sharing, and preservation or disposal of research data. It is increasingly recognized that data are valuable assets in need of systematic and professional care. Losing access to data could make it impossible to complete a research project successfully. It is an important practice to share data with other researchers to ensure maximum benefit from the investment made in their creation. Data activities occur throughout the life cycle of empirical research, across the six stages of ideation and planning, data acquisition, data storage and processing, data analysis, data sharing and preservation or disposition, and publication. At the ideation and planning stage, the researcher seeks to discover if relevant data already exist and creates a data-management plan to guide how to capture and manage any new data that are required. Data acquisition could be through reusing existing data or collecting new data. Research data must be stored securely and processed and validated to be ready for analysis. Data analysis is the use of the data and could involve processing or changing formats. Although some data may be disposed of at the end of a project, increasingly, data should be shared. This implies depositing them in a repository, creating metadata that make them findable, and documentation that ensures their reusability. At the publication stage, citation and a data access or availability statement point future researchers to where they can access the data used in the study. This How-to Guide sets out an overview of the key aspects of RDM.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 1-03-622168-7
- 9781036221683
- OCLC:
- 1523171008
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