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Research data management

Research data management is the term applied to all activities involving digital research data (apart from its actual use), in particular to activities relating to storage and long-term availability. The individual steps from the collection of research data to its analysis, processing, archiving, publication, re-use and, in some cases, planned deletion are all part of what is known as the research data life cycle. As this term implies, research data and research data management play an important role during all stages of a research project as well as after the end of the project.
Panning of data, Creating Data, Description of Data in Context, Data Cleansing, Using Data, Archiving of the data, Sharing in appropiate form, Re-Use, Planned Deletion

Life cycle of Research Data

Some research organisations and funders already require research data to be stored for a particular length of time, to be published or made available to other researchers. For this reason, it is important to create a data management plan when planning a research project. A data management plan provides clear written documentation of how data are handled to ensure that all requirements are met and that the quality of the research data is ensured.
When creating a plan, it is important to adhere to the established norms and regulations on safeguarding good scientific practice (http://www.dfg.de/download/pdf/dfg_im_profil/reden_stellungnahmen/download/empfehlung_wiss_praxis_1310.pdf).

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