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Data management is how you extract answers and insights from raw data to meet your information needs. The proliferation of electronic data-collection methods in recent years has created the impression data management is all about technology, but its roots are firmly in accounting, statistics, and planning.
Data management includes storage, data security, data sharing, data governance, data architecture, database management, and records management. Once your data management strategy is in place, you’ll glean important insights by using your data to its full potential.
Are you involved in the provision of data management support to social science researchers? Do you regularly get questions about the implementation of day-to-day data management practices? Do you sometimes struggle to answer researchers’ questions? Do you wish to learn more about key data management ?
Quantitative, qualitative, spatial, text, video, physical object, ???
Will the dataset(s) grow over time?
What tools or software are needed to create & use the data?
Methodology
Field names, data identifiers, metadata
Naming conventions
Participant/human subject privacy
Intellectual property
Anonymization
Expectation of funding agency
Open access
Journal citation
How long?
What file formats?
Hosting site?