• Make your processes more reproducible by gaining computational and data science skills through Data Science Hub workshops and the Libraries R & Python workshops.

• Create a Data Management & Sharing Plan (DMSP) for your research projects, ensuring you follow guidelines from federal funding agencies. 
• Contact campus’ free resource, Research Data Services, to discuss federal public access requirements, to review your DMSP draft, or for help identifying appropriate data repositories.

• Ensure your research projects have appropriate metadata and documentation at the project-level, for every dataset and for any code or other outputs. Clear keywords and documentation can also make data easily discoverable and accessible for researchers outside your field. Learn more about documenting your research.

• Share the data underlying your research results and other findings by depositing it in appropriate data repositories. Research Data Services can help you find the right repositories for your data.
• Share code through the GitHub and Zenodo integration. Freeze your repository, get a DOI, and make your code citable. 
• You can share your research protocols through tools like OSF Protocols registry, Protocols.io, or other generalist data repositories.

• Become familiar with UW-Madison’s guidelines on authorship, publication and peer review  and related resources on research misconduct.
• Get guidance on publishing ethics for authors, editors, and advisors/PIs.
  • Introduction to Publication Ethics (COPE – Committee on Publishing Ethics) 
  • Learn about academic authorship practices, common authorship and get guidance on navigating responsibilities (Authorship Project).

• Identify publications that accept manuscripts detailing negative results (ask your Subject Librarian).
• Consider sharing negative results through methods like preprints or self-archiving in an institutional repository and including associated data.

• Identify scholarly publications for manuscript submission that employ high quality peer-review (Publishing in the Sciences & Engineering Guide).
• Discuss publishing choices with a Subject Librarian who can help you investigate the peer review practices and policies of specific journal titles in your field.
• Only serve as a peer reviewer for journals in your discipline that hold rigorous and ethical peer review policies. Disclose any possible conflicts of interest to the journal editor before reviewing a manuscript.
  • Be transparent with your own history as a peer-reviewer. Allow peer reviewer status to be publicly visible in your ORCID profile. 
• Give peer reviewers access to unpublished data with a private sharing link for your draft data publications if supported by your data repository.

• Ensure your work is reproducible and well documented (see this guide’s Reproducible & Transparent section)

Disclose affiliations when applying for funding, submitting to the IRB, publishing, presenting, and sharing data.  This should be done in alignment with the UW Conflicts of Interest Policy, granting agency, and your publisher. Additional resources for navigating conflict of interest issues include:

• UW-Madison Conflict of Interest Committee

• Critically evaluate the scholarly evidence:
  • Gain understanding of different methodologies. (Protocols guide)
  • Access the scholarly literature. (Database library)
• Consult other researchers. (see this guide’s Collaborative & Interdisciplinary section)
• Be available for questions. Include your contact information available in articles, datasets, on personal/university website, and have a public ORCID profile.
• Publish findings in journals with unbiased peer review practices. (see this guide’s Unbiased Peer Review section)

Study pre-registration is a great way to provide documentation of transparent, rigorous research practice, enable peer review throughout the research process, and has a number of benefits such as providing clarity to the research purpose and reducing reporting or publishing bias. 

Pre-registration is the publication or registration of research plans prior to beginning. Pre-registration templates vary by discipline, publisher, or organization, but typically include the clearly articulated hypotheses and other related information, the study design, sampling plans and variable information, data collection, as well as explicit plans for statistical analysis. 

• OSF – Pre-register your study for free on OSF.
• Check your funding agency or publisher for guidance on preferred tools for pre-registration. Examples may include ClinicalTrials.gov; Registry of Efficacy and Effectiveness Studies (REES); American Economic Association’s registry; AsPredicted; and more.

• Find a researcher on campus with shared interests using RABBIT or Research at a Glance at UW-Madison.
• Participate in UW-Madison research initiatives that promote collaboration across disciplines:
  • Wisconsin Research, Innovation and Scholarly Excellence (RISE) — RISE-AI, RISE-EARTH, & RISE-THRIVE: an initiative designed to help address significant, complex challenges of particular importance to Wisconsin and the world, through accelerated and strategic faculty hiring, research infrastructure enhancement, interdisciplinary collaboration and increased student and educational opportunities.  Igniting Interdisciplinary Innovation I3 is a campus-wide effort led by the Office of the Vice Chancellor for Research (OVCR) to catalyze bold research collaborations that cross or complement UW–Madison’s RISE themes—AI, EARTH, and THRIVE.
  • Develop a plan for your interdisciplinary collaboration based on ICTR’s team science program.