2018 Common Rule Update

The Common Rule (45 CFR 46) On January 19, 2017, the U.S. Department of Health and Human Services (HHS) and fifteen other Federal Departments and Agencies announced revisions to modernize, strengthen, and make more effective the Federal Policy for the Protection of Human Subjects that was originally promulgated as a Common Rule in 1991. The Final Rule reflecting the 2018 Common Rule …read more

Benign Behavioral Interventions

The purpose of this information is to provide guidance for Exemption Category 3 of human subjects research regulations (45 CFR 46) and provide examples of “benign behavioral interventions” at The University of Texas at Dallas (UTD). Exemption Category 3 (3) (i) Research involving benign behavioral interventions in conjunction with the collection of information from an …read more

HHS Resources

Office for Human Research Protections (OHRP) Office for Human Research Protections (OHRP) Educational Videos Research Use of Human Biological Specimens and Other Private Information Reviewing and Reporting Unanticipated Problems and Adverse Events Investigator Responsibilities FAQs (OHRP) Research with Children FAQs (OHRP) Prisoner Research FAQs (OHRP) International Compilation of Human Research Standards Compilation of European GDPR …read more

Deception and Incomplete Disclosure

Use of deception and incomplete disclosure generally goes against a basic principle of human subjects research: to treat individuals as autonomous agents by disclosing complete and truthful information about a study. However, the IRB recognizes it can be a useful tool, especially in behavioral and social research. The information below provides guidance on the appropriate …read more

IRB Training

Required Training Human Subjects Protection Training All individuals conducting research with human participants must complete Human Subjects Protection (HSP) training modules through the CITI Program before the Office of Human Subjects Protections (OHSP) will review an application. Visit the HSP CITI page for guidance to create an account (or link an existing account) and complete …read more

Broader Impacts: Sustainability, Environment, Equity, and Economy

The Earth’s population continues to grow and our natural resources are limited. It’s important for individuals and communities to learn to live together sustainably. Watch this recorded session as the Office of Research and Innovation partner with the Office of Sustainability, RCE North Texas (UN Recognized Regional Centre for Expertise on Education for Sustainable Development), …read more

Researchers

Obtaining Approval Does this need IRB Review? PI Responsibilities PI Eligibility Levels of Review Items to include in your IRB submission IRB Training Recruitment Informed consent Forms and Checklists Common Mistakes Single IRB After Approval Record Keeping / Data Management Modifications / Renewals Reportable Events Post Monitoring Program Study Expiration / Closure General Guidance HHS …read more

UTD Partners with Texas Stream Team

Recently, UTD partnered with the Texas Stream Team (TST) to promote environmental stewardship. TST is a statewide initiative and a volunteer-based water quality monitoring program that is administered through partnership between The Meadows Center at Texas State University, the Texas Commission on Environmental Quality (TCEQ) and the U.S. Environmental Protection Agency (EPA). Trained volunteers collect …read more

Policies

Institution Policies Institutional Review Board Policies and Procedures Federal Regulations The list below represents a few of the federal agencies from which UTD receives support for human subjects research. The links below reference federal websites or documents that contain policies, explain specific provisions, and provide links to resources for that agency. U.S. Department of Health and …read more

Dr. Jie Zhang Receives Over $800,000 from ONR

The Office of Naval Research awarded Dr. Jie Zhang $808,762 for his research on Learning on Graphs for Resilience Decision-Support in Real-World Networks. This project is to develop a unified “learning on graphs” framework that enables generation of robust, scalable, and generalizable combinatorial policies over graphs, to support real-time decision-making for recovery of disrupted real-world networks. The following integrative research activities …read more

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