A simplified guide for research data management with focus on the Material Sciences and Engineering (MSE) domain. Basic tips for newbies are included and data handling in line with FAIR Data principles is emphasised.
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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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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FAIR Data
Learn about tools helping to handle data in line with FAIR data principles. International and national resources with specific focus on the MSE domain are highlighted. Best practices are provided (in progress).
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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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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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