Data management is an essential part of research practice and includes planning, creating or collecting, storing, organizing, maintaining, long-term preservation, making accessible, sharing, describing and publishing research data. According to the international FAIR principles, research data must be findable, accessible, interoperable and reusable (see this LibGuide). FAIR data management is the set of decisions and measures taken during the life cycle of research data to deliver research data as FAIR as possible. Important aspects include the choice of a file format, naming convention and data license, the recording of data documentation and metadata, etc. (see this LibGuide). A data management plan is an indispensable tool for managing everything and mapping out all aspects during a research project (see this LibGuide).
Attention to ethical aspects (see this LibGuide) and GDPR principles (see this LibGuide) is necessary.
Within data management, integrity and reproducibility are important core values. Integrity and reproducibility not only lead to reliable but also to (re-)usable research.
Is based on the principles of honesty, scrupulousness, transparency, independence and responsibility. More about this and the Netherlands Code of Conduct for Research Integrity can be found in this LibGuide.
Research is reproducible if you provide all the necessary (meta)data, software and computer scripts that make it possible to either redo the research or to re-analyse the research data. This requires good data
documentation, see this LibGuide. Setting up reproducible research also requires thorough preparation in the planning phase. See this LibGuide for tips and tools.
Good data management has many advantages: for yourself, for your research institute, for your field of expertise and for the world around you.
A research lifecycle is a visual representation of the different phases of a research project and describes the steps a researcher takes in each phase, from the planning phase to its completion.
Research data are data collected in the context of scientific and practice-oriented research to answer a research question or to test a hypothesis. What the research data look like depends on the field of study, the research process and the research method. Research data can come in many forms and formats.
A distinction is made between:
Methods to collect data:
See this LibGuide also.
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