{"@type": "dcat:Dataset", "accessLevel": "public", "accrualPeriodicity": "irregular", "bureauCode": ["006:55"], "contactPoint": {"fn": "Gary Howarth II", "hasEmail": "mailto:gary.howarth@nist.gov"}, "description": "SDNist v2 is a Python package that provides benchmark data and evaluation metrics for deidentified data generators.This version of SDNist supports using the NIST Diverse Communities Data Excerpts, a geographically partitioned, limited feature data set.The deidentified data report evaluates utility and privacy of a given deidentified dataset and generates a summary quality report with performance of a deidentified dataset enumerated and illustrated for each utility and privacy metric.", "distribution": [{"accessURL": "https://github.com/usnistgov/SDNist/", "description": "A Python repository of data and software to evaluate data deidentification techniques.", "format": "Python repository", "title": "SDNist v2"}], "identifier": "ark:/88434/mds2-2943", "issued": "2023-05-12", "keyword": ["private information sharing", "differential privacy", "privacy", "benchmarks", "synthetic data"], "landingPage": "https://github.com/usnistgov/SDNist", "language": ["en"], "license": "https://www.nist.gov/open/license", "modified": "2023-03-13 00:00:00", "programCode": ["006:045"], "publisher": {"@type": "org:Organization", "name": "National Institute of Standards and Technology"}, "theme": ["Information Technology:Privacy", "Information Technology:Artificial Intelligence", "Information Technology:Software research"], "title": "SDNist v2: Deidentified Data Report Tool"}