ScholarGate
アシスタント

手法を比較

選択した手法を並べて確認できます。異なる行はハイライト表示されます。

研究誠実性の原則×データの捏造および改ざん×
分野研究倫理研究倫理
系統Process / pipelineProcess / pipeline
提唱年20072005
提唱者Multiple (National Academies, NIH/ORI, ESOMAR, individual discipline standards)U.S. Office of Research Integrity; definitions in federal policy 42 CFR 93
種類FrameworkStandard
原典National Academies of Sciences, Engineering, and Medicine. (2017). Fostering Integrity in Research. The National Academies Press. DOI ↗U.S. Office of Research Integrity. (2005). Public Health Service Policy on Research Misconduct. 42 CFR Part 93. Definitions of fabrication and falsification. link ↗
別名Responsible Conduct of Research, RCR, Research Ethics StandardsFFP Data Violations, Data Integrity Violations
関連43
概要Research integrity encompasses the ethical and professional standards that guide responsible conduct in all aspects of research—from study design and data collection through analysis, reporting, and publication. The core principles—honesty, transparency, accountability, respect, and stewardship—ensure that research is trustworthy, reproducible, and contributes legitimate knowledge. These principles are universal across disciplines and are enforced through institutional policies, professional standards, and regulatory oversight. Violations of research integrity undermine scientific credibility and can harm subjects, institutions, and public trust.Data fabrication and falsification are serious forms of research misconduct involving intentional misrepresentation of research data. Fabrication means inventing data that were never actually collected; falsification means altering authentic data to change the meaning. Both undermine scientific integrity, waste research resources, and can harm research subjects and the public. Federal policy (42 CFR Part 93) formally defines these violations; detection is improving through statistical analysis tools and data transparency practices; prevention requires robust data governance and culture of accountability.
ScholarGateデータセット
  1. v1
  2. 3 出典
  3. PUBLISHED
  1. v1
  2. 3 出典
  3. PUBLISHED

検索へ スライドをダウンロード

ScholarGate手法を比較: Research Integrity Principles · Data Fabrication and Falsification. 2026-06-18に以下より取得 https://scholargate.app/ja/compare