Welcome to The Children's Hospital of Philadelphia Research Institute Responsible Conduct of Research Site!
This site provides a wide range of educational resources on scientific integrity for The Children's Hospital of Philadelphia (CHOP) research community - useful and applicable whether you are new to research or have many years of experience. As a central component of the CHOP Research Institute's Responsible Conduct of Research (RCR) program the site is designed to:
- Convey and clarify role-specific RCR training requirements
- Facilitate access to RCR educational materials and resources
- Serve as a faculty resource for delivering RCR instruction
- Increase understanding of RCR-related federal regulations and CHOP policies
- Introduce institutional experts to answer questions and offer guidance
June 2019 Feature: Data Management
High quality research data is necessary for advancing scientific progress, medical knowledge and maintaining public trust. Check out these selected resources to learn about responsible data management in scientific research.
- Reproducibility and Replicability in Science, a 2019 report from the National Academies of Sciences, Engineering, and Medicine, examines the factors that may lead to non-reproducibility and non-replicability in research and provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.
- NIH Web Portal on Rigor and Reproducibility describes NIH efforts to enhance research rigor and reproducibility and includes guidelines, training modules, funding opportunities and other resources.
- NIH Rigor and Reproducibility Training Materials include four video modules and discussion guides that focus on transparency, bias, blinding and exclusion criteria.
- Does GDPR Regulate Clinical Care Delivery by US Health Care Providers? in On the Subject, February 26, 2018, by Broccolo et al., from McDermott, Will & Emery, discusses the extent to which United States health care providers must comply with GDPR when conducting clinical activities and programs.
- 2018 Reform of European Data Protection Rules. This European Commission Web site provides background about the General Data Protection Regulation (GDPR).
- National Institutes of Health (NIH) Big Data to Knowledge (BD2K) Initiative is a trans-NIH initiative designed to maximize and accelerate the integration of Big Data and data science into biomedical research.
- NIH Sharing Policies and Related Guidance on NIH-Funded Research Resources provides links to selected federal data sharing policies and resources.
- The Electronic Medical Records and Genomics (eMerge) Network is a national consortium organized by the National Human Genome Research Institute (NHGRI) to develop, disseminate and apply approaches to research, combining DNA biorepositories and electronic medical records.
- Ten Simple Rules for Big Data Research by Zook M et al., in PLoS Computational Biology, March 30, 2017, provides guidance for addressing the complex ethical issues that can arise in big data research.
- Ten Simple Rules to Enable Multi-site Collaborations through Data Sharing by Boland MR et al., in PLoS Computational Biology, January 19, 2017, discusses how to enable multi-site collaborations within the scientific community through enhanced data sharing. Topics include: understanding privacy constraints, utilizing proper platforms to facilitate data sharing, thinking in global terms, and encouraging researcher engagement through incentives.
- Reproducible and Reusable Research: Are Journal Data Sharing Policies Meeting the Mark? in PeerJ, April 25, 2017, analyzes the pervasiveness and quality of data sharing policies in the biomedical literature.
- 1,500 Scientists Lift the Lid on Reproducibility in Nature News, May 25, 2016, reports survey results from 1,500 scientists regarding their beliefs about the ‘reproducibility crisis’.
Explore the Data Responsibilities topic on this site for additional educational materials.
