Skup podataka sa Zenodo · Mombelli, Samuele
Survey on FAIRness of CFReDS Portal datasets' metadata - 2022
- Licenca
- CC0 1.0dozvoljena komercijalna upotrebaTekst licence
- Licenca dozvoljava komercijalnu upotrebu. Obično treba navesti autora — tačni uslovi su u tekstu licence.
- Formati
- TXT, SQL
- Veličina
- 85 kB
- Ažurirano
- 3. 12. 2025.
Opis
This dataset consists of a database (.SQL format) containing the result of the analysis of metadata of 212 datasets in the Computer Forensic Reference DataSet Portal (CFReDS, NIST). The survey that led to this dataset, carried out by Samuele Mombelli between 21 December 2022 and 28 January 2023, focused on analyzing the metadata associated with these datasets and assessing their compliance with the FAIR Principles (Findabiliy, Accessibility, Interoperability and Reusability). The data were collected using a specially developed checklist that encapsulates a set of criteria representing its own implementation of the FAIR principles. This dataset is linked to the publication in the following article: Mombelli S., Lyle J. R., and Breitinger F. (2024). FAIRness in digital forensics datasets’ metadata – and how to improve it. Forensic Science International: Digital Investigation 48. DFRWS EU 2024 - Selected Papers from the 11th Annual Digital Forensics Research Conference Europe: 301681. https://doi.org/10.1016/j.fsidi.2023.301681. Further details on the criteria used and the structure of the data can be found in the documentation associated with the database. MD5 checksum…
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