This guide provides a list of resources on identifiers, guidelines, and authentication techniques that may be helpful in fulfilling NIH new Rigor & Transparency requirements. Many journals now require reproducibility reporting often in the form of a checklist (see Nature's). Both initiatives seek to increase research transparency and reproducibility by defining requirements for authors and grant applicants to unambiguously identify and authenticate resources and to report protocols in sufficient detail allowing for the validation of results and replication of data collection and analysis methods.
The modules include experimental design, laboratory practices, analysis and reporting of results, and/or the influence of cultural factors such as confirmation bias in hypothesis testing or the scientific rewards system.
NIH developed four video modules with accompanying discussion materials that focus on integral components of reproducibility and rigor in the research endeavor, such as bias, blinding, and exclusion criteria.
Topics include antibody validation, biological & biomedical research, cell line authentication, health science and clinical research, image manipulation, sex as a biological variable, social sciences research, statistical methods, and computational research