| Data quality, Open data and FAIR principles |
Guidelines - Data quality, Open data and FAIR principles
Materials have been gathered related to Data quality, Open data and FAIR principles.
A decision tree that guides you through the content of the guidelines in a systematic way is presented below.
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Looking for an introduction to data quality and Weight of evidence (WoE) methodologies?
Looking for information on data quality characteristics?
Looking for information on Data quality assessment schemes?
Looking for information on Data Entry Templates?
Would you like to access the RiskGONE data templates?
Looking for information on quality in Metrology?
Looking for information on scientific approaches for data quality assessment?
Looking for information on Open Data and Data management?
Looking for information on FAIR principles and FAIRification?
Have you checked the data info page of the NanoRisk Governance Portal?
**This work project has received funding from European Union Horizon 2020 Programme (H2020) via RiskGONE project under grant agreement nÂș 814425