[
  {
    "id": "iso5259-1-2024",
    "type": "standard",
    "title": "ISO/IEC 5259-1:2024 — Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 1: Overview, terminology, and examples",
    "author": [{"family": "ISO/IEC JTC 1/SC 42", "given": ""}],
    "issued": {"date-parts": [[2024]]},
    "publisher": "International Organization for Standardization",
    "URL": "https://www.iso.org/standard/81088.html",
    "note": "Reference [1]. ISO/IEC 5259 시리즈의 토대 — 개요, 용어, 예시."
  },
  {
    "id": "iso5259-2-2024",
    "type": "standard",
    "title": "ISO/IEC 5259-2:2024 — Part 2: Data quality measures",
    "author": [{"family": "ISO/IEC JTC 1/SC 42", "given": ""}],
    "issued": {"date-parts": [[2024]]},
    "publisher": "International Organization for Standardization",
    "URL": "https://www.iso.org/standard/81653.html",
    "note": "Reference [2]. 데이터클리닉이 정량 매핑하는 23개 QM의 정본."
  },
  {
    "id": "iso5259-3-2024",
    "type": "standard",
    "title": "ISO/IEC 5259-3:2024 — Part 3: Data quality management requirements and guidelines",
    "author": [{"family": "ISO/IEC JTC 1/SC 42", "given": ""}],
    "issued": {"date-parts": [[2024]]},
    "publisher": "International Organization for Standardization",
    "URL": "https://www.iso.org/standard/81654.html",
    "note": "Reference [3]. 데이터 품질 관리 요구사항."
  },
  {
    "id": "iso5259-4-2024",
    "type": "standard",
    "title": "ISO/IEC 5259-4:2024 — Part 4: Data quality process framework",
    "author": [{"family": "ISO/IEC JTC 1/SC 42", "given": ""}],
    "issued": {"date-parts": [[2024, 7, 15]]},
    "publisher": "International Organization for Standardization",
    "URL": "https://www.iso.org/standard/81093.html",
    "note": "Reference [11]. 5259-3 관리 요구사항을 충족하기 위한 운영 프로세스 프레임워크."
  },
  {
    "id": "iso5259-5-2025",
    "type": "standard",
    "title": "ISO/IEC 5259-5:2025 — Part 5: Data quality governance framework",
    "author": [{"family": "ISO/IEC JTC 1/SC 42", "given": ""}],
    "issued": {"date-parts": [[2025, 2]]},
    "publisher": "International Organization for Standardization",
    "URL": "https://www.iso.org/standard/84150.html",
    "note": "Reference [12]. 데이터 생명주기 전반 거버넌스 프레임워크."
  },
  {
    "id": "iso5259-6-2026",
    "type": "standard",
    "title": "ISO/IEC TR 5259-6:2026 — Part 6: Visualization framework for data quality",
    "author": [{"family": "ISO/IEC JTC 1/SC 42", "given": ""}],
    "issued": {"date-parts": [[2026, 5]]},
    "publisher": "International Organization for Standardization",
    "URL": "https://www.iso.org/standard/86532.html",
    "note": "Reference [13]. 시리즈 최초의 기술 보고서(TR) — 데이터 품질 측정 결과의 시각화 프레임워크."
  },
  {
    "id": "eu-ai-act-2024",
    "type": "legislation",
    "title": "Regulation (EU) 2024/1689 on Artificial Intelligence (AI Act)",
    "author": [{"family": "European Parliament", "given": ""}],
    "issued": {"date-parts": [[2024]]},
    "publisher": "European Union",
    "URL": "https://eur-lex.europa.eu/eli/reg/2024/1689/oj",
    "note": "Reference [4]. EU AI Act — 고위험 AI 시스템 데이터 거버넌스 요구."
  },
  {
    "id": "eo14110-2023",
    "type": "legislation",
    "title": "Executive Order 14110 on Safe, Secure, and Trustworthy Artificial Intelligence",
    "author": [{"family": "The White House", "given": ""}],
    "issued": {"date-parts": [[2023, 10, 30]]},
    "publisher": "Executive Office of the President",
    "URL": "https://www.whitehouse.gov/briefing-room/presidential-actions/2023/10/30/executive-order-on-the-safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence/",
    "note": "Reference [5]. 미국 행정명령."
  },
  {
    "id": "msit-ai-ethics-2024",
    "type": "report",
    "title": "인공지능 윤리기준 및 신뢰성 확보 가이드라인",
    "author": [{"family": "과학기술정보통신부", "given": ""}],
    "issued": {"date-parts": [[2024]]},
    "publisher": "대한민국 과학기술정보통신부",
    "note": "Reference [6]. 한국 정부 AI 윤리·신뢰성 가이드라인."
  },
  {
    "id": "nia-data-quality-2023",
    "type": "report",
    "title": "AI 데이터 품질관리 가이드라인 v2.0",
    "author": [{"family": "한국지능정보사회진흥원", "given": ""}],
    "issued": {"date-parts": [[2023]]},
    "publisher": "NIA",
    "note": "Reference [7]. NIA AI 데이터 품질관리 가이드라인."
  },
  {
    "id": "sambasivan2021data",
    "type": "paper-conference",
    "title": "'Everyone wants to do the model work, not the data work': Data Cascades in High-Stakes AI",
    "author": [
      {"family": "Sambasivan", "given": "Nithya"},
      {"family": "Kapania", "given": "Shivani"},
      {"family": "Highfill", "given": "Hannah"},
      {"family": "Akrong", "given": "Diana"},
      {"family": "Paritosh", "given": "Praveen"},
      {"family": "Aroyo", "given": "Lora M."}
    ],
    "issued": {"date-parts": [[2021]]},
    "container-title": "CHI Conference on Human Factors in Computing Systems (CHI 2021)",
    "DOI": "10.1145/3411764.3445518",
    "URL": "https://dl.acm.org/doi/10.1145/3411764.3445518",
    "note": "Reference [8]. AI 데이터 작업이 저평가되는 구조적 문제 — Data Cascades 개념."
  },
  {
    "id": "gebru2021datasheets",
    "type": "article-journal",
    "title": "Datasheets for Datasets",
    "author": [
      {"family": "Gebru", "given": "Timnit"},
      {"family": "Morgenstern", "given": "Jamie"},
      {"family": "Vecchione", "given": "Briana"},
      {"family": "Vaughan", "given": "Jennifer Wortman"},
      {"family": "Wallach", "given": "Hanna"},
      {"family": "Daumé III", "given": "Hal"},
      {"family": "Crawford", "given": "Kate"}
    ],
    "issued": {"date-parts": [[2021]]},
    "container-title": "Communications of the ACM",
    "volume": "64",
    "issue": "12",
    "page": "86-92",
    "DOI": "10.1145/3458723",
    "URL": "https://arxiv.org/abs/1803.09010",
    "note": "Reference [9]. 데이터셋 메타데이터 표준화 — Datasheets 개념."
  },
  {
    "id": "mitchell2019modelcards",
    "type": "paper-conference",
    "title": "Model Cards for Model Reporting",
    "author": [
      {"family": "Mitchell", "given": "Margaret"},
      {"family": "Wu", "given": "Simone"},
      {"family": "Zaldivar", "given": "Andrew"},
      {"family": "Barnes", "given": "Parker"},
      {"family": "Vasserman", "given": "Lucy"},
      {"family": "Hutchinson", "given": "Ben"},
      {"family": "Spitzer", "given": "Elena"},
      {"family": "Raji", "given": "Inioluwa Deborah"},
      {"family": "Gebru", "given": "Timnit"}
    ],
    "issued": {"date-parts": [[2019]]},
    "container-title": "FAT* 2019 — Conference on Fairness, Accountability, and Transparency",
    "DOI": "10.1145/3287560.3287596",
    "URL": "https://arxiv.org/abs/1810.03677",
    "note": "Reference [10]. 모델 카드 — 모델 보고 표준화."
  }
]
