2024 Data Integrity in Research
Laypersons are using artificial intelligence tools to scan prior publications to identify potential issues with data integrity, including plagiarism and image manipulation. It is critical that researchers understand the requirements related to data integrity, how to identify issues, how to prevent these issues and ensure that data that is presented for publication and in grant applications is accurate and correct. This activity is a form of responsible conduct in research education, that is required by funding agencies for anyone who participates in human subjects research.
Research data integrity is critical to the accuracy of research activities that ultimately lead to interventional treatments for patients. It is critical for everyone involved in research to understand their responsibilities as it relates to research data integrity, how to identify, prevent and mitigate issues to ensure data accuracy and integrity. This lecture will provide real life examples of data integrity issues/concerns, and provide tips on how to identify and address data integrity issues in research.
Target Audience
Researchers, research leadership, research faculty, HRPP oversight committees, and anyone involved in research conducted at COH.
Learning Objectives
- Identify data integrity issues that impact research.
- Discuss case studies and examples of data integrity issues in academic institutions, how they are addressed and mitigated.
- Distinguish between the various tools and mechanisms for proactively identifying potential plagiarism or image manipulation in manuscripts, publications, and grant application.
- Outline the appropriate steps to take when data integrity concerns are raised or identified.
NAME, DEGREE(S) Professional Title, Institution
Presenter: Dr. LAST NAME has indicated that there are no relevant financial relationships./ OR has indicated the following relevant financial relationships: LIST DISCLOSURES.
IF APPLICABLE: Dr. LAST NAME will be discussing the off-label or investigational use of LIST OF OFF LABEL DRUGS HERE...
Planner: NAME, DEGREE(S) has indicated that there are no relevant financial relationships./ OR has indicated the following relevant financial relationships: LIST DISCLOSURES.
IF NO RELEVANT DISCLOSURES: This presentation and/or comments will provide a balanced, non-promotional, and evidence-based approach to all diagnostic, therapeutic and/or research related content.
IF RELEVANT DISCLOSURES: The educational content has been peer-reviewed, an attestation on file and no conflicts were noted.
CME Committee/Reviewer no relevant financial relationships: Daneng Li, MD
ACCREDITATION STATEMENT: City of Hope is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
CREDIT DESIGNATION: City of Hope designates this live activity for a maximum of 2.0 AMA PRA Category 1 Credit™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
The following credit type(s) are being offered for this course:
• AMA PRA Category 1 Credit™ 2.0
The following may apply AMA PRA Category 1 Credit™ for license renewal:
Registered Nurses: Nurses may report up to 2.0 credit hours toward the continuing education requirements for license renewal by their state Board of Registered Nurses (BRN). AMA PRA Category 1 Credit™ may be noted on the license renewal application in lieu of a BRN provider number.
Physician Assistants: The National Commission on Certification of Physicians Assistants states that AMA PRA Category 1 Credit™ accredited courses are acceptable for CME requirements for recertification.
Available Credit
- 2.00 AMA PRA Category 1 Credit™City of Hope is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
City of Hope designates this 2024 Data Integrity in Research for a maximum of 2.00 AMA PRA Category 1 Credit™ requirements. Physicians should claim only the credit commensurate with the extent of their participation in the activity. - 2.00 Attendance