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ad71e0fd9fa332f7a935 · Use Cases for Secure and Trusted Granular Data Sharing Among Disparate Databases

Use Cases for Secure and Trusted Granular Data Sharing Among Disparate Databases

Sharing data among disparate organizations can be extremely difficult, when the data comes from different database management systems (DBMS). Most problematic is that data stored at another organization most likely uses different DBMS schemas and

Официальный источник · 2024-01-30

Полные импортированные сведения карточки
{
  "title_en": "Use Cases for Secure and Trusted Granular Data Sharing Among Disparate Databases",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2024-01-30",
  "date_original": "January 30, 2024",
  "url": "https://www.nist.gov/publications/use-cases-secure-and-trusted-granular-data-sharing-among-disparate-databases",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Joanna DeFranco , David Ferraiolo , Joshua Roberts , D. Richard Kuhn",
  "abstract_excerpt_en": "Sharing data among disparate organizations can be extremely difficult, when the data comes from different database management systems (DBMS). Most problematic is that data stored at another organization most likely uses different DBMS schemas and",
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  "sources": [
    "NIST Publications"
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    {
      "title_en": "Use Cases for Secure and Trusted Granular Data Sharing Among Disparate Databases",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2024-01-30",
      "date_original": "January 30, 2024",
      "url": "https://www.nist.gov/publications/use-cases-secure-and-trusted-granular-data-sharing-among-disparate-databases",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Joanna DeFranco , David Ferraiolo , Joshua Roberts , D. Richard Kuhn",
      "abstract_excerpt_en": "Sharing data among disparate organizations can be extremely difficult, when the data comes from different database management systems (DBMS). Most problematic is that data stored at another organization most likely uses different DBMS schemas and"
    }
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