An Introduction to Data Management


Data management concerns the dealing with data in the scientific context. Often, more importance is given to results, analysis and derived conclusion than to the data themselves. However, data are a product of the science enterprise and are more and more understood as a valuable research output themselves

Importance and benefits of data management 

The documentation of data analysis and transformation as well as the storing of data and research results are integral part of data management and could help you to prove your work. Without data management, not only a solid basis ensuring replicability for your research results may be missing, but your data can also be subject to data loss more easily. This may happen due to technical problems (hardware failure), due to software obsolescence, due to missing information (data cannot be understood in the future) or due to not storing data in an appropriate way (data will never be found again).

Activities which initiate overtime:

  • Loss of meta information over time
  •  Benefit of Research Data Management Planning
  • Costs and benefit of data management


Sharing data can bring advantages for individual researchers as well as for the scientific community in general. There are three dimensions of sharing data. First, data can be shared among researchers within the project team. Therefore data is submitted to a shared drive.

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