Principles
Guideline 1: Commitment to the general principlesGuideline 2: Professional ethicsGuideline 3: Organisational responsibility of heads of research institutionsGuideline 4: Responsibility of the heads of research work unitsGuideline 5: Dimensions of performance and assessment criteriaGuideline 6: OmbudspersonsGuideline 10: Legal and ethical frameworks, usage rightsGuideline 11: Methods and standardsGuideline 12: DocumentationGuideline 13: Providing public access to research resultsGuideline 14: AuthorshipGuideline 15: Publication mediumGuideline 16: Confidentiality and neutrality of review processes and discussionsGuideline 17: Archiving
Non-Compliance with Good Research Practice, Procedures
Guideline 18: Complainants and respondentsGuideline 19: Procedures in cases of alleged research misconductImplementation of the Guidelines
ForewordPreamblePrinzipienGuideline 1: Commitment to the general principlesGuideline 2: Professional ethicsGuideline 3: Organisational responsibility of heads of research institutionsGuideline 4: Responsibility of the heads of research work unitsGuideline 5: Dimensions of performance and assessment criteriaGuideline 6: OmbudspersonsForschungsprozessGuideline 7: Cross-phase quality assuranceGuideline 8: Stakeholders, responsibilities and rolesGuideline 9: Research designGuideline 10: Legal and ethical frameworks, usage rightsGuideline 11: Methods and standardsGuideline 12: DocumentationGuideline 13: Providing public access to research resultsGuideline 14: AuthorshipGuideline 15: Publication mediumGuideline 16: Confidentiality and neutrality of review processes and discussionsGuideline 17: ArchivingNichtbeachtung guter wissenschaftlicher Praxis, VerfahrenGuideline 18: Complainants and respondentsGuideline 19: Procedures in cases of alleged research misconductImplementation of the Guidelines
Utilisation of existing data sets in medicine/the life sciences
30.09.2024 – Both the secondary utilisation of collected research data and the use of routine data are essential components of compatible and resource-saving research practice. Access to the data is a fundamental requirement, but it is equally important for ...
Comment on: GL9 (Life sciences) , GL10 (Life sciences) , GL11 (Life sciences)
Diversity in the research system
16.11.2022 – Excellent science needs a diversity of perspectives and experiences.
Comment on: GL3 (General)
Natural Sciences
22.04.2022 – In the DFG subject classification system, the natural sciences include physics, chemistry, mathematics and the geosciences. These disciplines have clear overlaps with other scientific fields such as biology and medicine, agricultural and nutritional ...
Comment on: Preamble (Natural sciences)
Methods and standards in the life sciences
03.12.2020 – Many methods used in life science projects are subject to limitations. When selecting a method, it is important to consider its strengths and weaknesses; this should be documented and compensated for by means of the appropriate controls. Research in the ...
Comment on: GL11 (Life sciences)
Notes on documentation when using computer-assisted algorithmic or data-driven procedures in research
03.12.2020 – A description of the extent of documentation to be expected when using computerised algorithmic or data-driven processes, including tracking processes or machine learning, is provided.
Comment on: GL12 (General)
Knowledge-oriented and method-oriented research
03.12.2020 – Research methods are the tools of research, but they can also be the subject of research.
Comment on: GL11 (General)
Comparability and transferability
03.12.2020 – The systematic evaluation and validation of models or methods is carried out through scientific discussion and in comparison with references or other data.
Comment on: GL11 (General)