Data management is a general concept that encompasses the planning and implementation of numerous activities. It incorporates practices that enable effective data documentation, organization, storage, quality control, access, retrieval, maintenance, security, archiving, preservation, and reuse.
The advantages of strong data management apply to any research discipline (e.g., sciences, social sciences, humanities) and can extend the valuable life of datasets well past the end of the originating project. You can benefit from data management if you want to:
Data management plans range from simple to complex depending on the needs of the researcher. This document describes the data that a project will generate and how the research team intends to document, organize, store, and share the data. The purpose of data management planning is to prompt researchers to give early and frequent consideration to important issues and to compile in one document the information about how to address them before, during, and after the project. A high-quality data management plan defines a beginning-to-end strategy that covers the entire data life cycle. It may be helpful to consider the data management plan a living document that is updated over time to reflect changes.
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