{
  "@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.\n\nThis version of SDNist supports using the NIST Diverse Communities Data Excerpts, a geographically partitioned, limited feature data set.\n\nThe 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": [
    "benchmarks",
    "differential privacy",
    "privacy",
    "private information sharing",
    "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:Artificial Intelligence",
    "Information Technology:Privacy",
    "Information Technology:Software research"
  ],
  "title": "SDNist v2: Deidentified Data Report Tool"
}