RDM Basics
Research Data Management (RDM) covers the whole data life cycle from planning, through data collection and processing, to long-term preservation. Basic information about this cycle, positions, terms and principles are explained in this section. Links to training materials are provided.
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Metadata
Learn about general and domain-specific standards used to deposit data in certified repositories. Links to the useful metadata models for diverse experimental and computational cases and available vocabularies and ontologies can be found here. Rating the maturity of the resources is provided (in progress).
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eLab Notebooks
Keeping detailed notes is key for researchers in the MSE domain (not only). Find pros and cons of several open-source electronic laboratory notebooks (ELNs) in this section. Practical advice and best practice are provided (in progress).
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Ask Expert
Is anything relevant to data management of MSE scientists missing on this website? Is
anything unclear? Please contact colleagues developing this website for more information.
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