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This episode demystifies metadata by explaining how it transforms "mystery jars" of data into independently understandable assets that comply with the 2021 Tri-Agency RDM policy. We break down the four metadata buckets—descriptive, administrative, structural, and provenance—that underpin the FAIR principles and ensure your research is findable and reusable. Finally, we share a practical action plan to avoid the "seven deadly sins" of data management: document your work in the moment and consult your university’s RDM librarian.
By Research Data Management SpecialistThis episode demystifies metadata by explaining how it transforms "mystery jars" of data into independently understandable assets that comply with the 2021 Tri-Agency RDM policy. We break down the four metadata buckets—descriptive, administrative, structural, and provenance—that underpin the FAIR principles and ensure your research is findable and reusable. Finally, we share a practical action plan to avoid the "seven deadly sins" of data management: document your work in the moment and consult your university’s RDM librarian.