Thinking about data management requirements before new data are even generated, may be seen as premature. However, time spent at this stage can save lots of time later in the research process: it is easier to think about data organization and documentation beforehand than to reconstruct details that you may no longer readily remember. This section covers aspects that should be considered from the very start, while some of them matter throughout the research process.
Content of this Section
Latest News relating to Before Research
- Open Data Strategy by the German Federal Government
- Participation by Max Planck Members at the National Data Infrastructure
- RDM in New Position Paper by the Max Planck Society for Science Policy after the 2021 Federal Elections
- Using Git for Research Data Management: Opportunities within the Max Planck Society