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Suggested Citation:"Appendix D: eMERGE Consortium Data Use Agreement." National Research Council. 2011. Toward Precision Medicine: Building a Knowledge Network for Biomedical Research and a New Taxonomy of Disease. Washington, DC: The National Academies Press. doi: 10.17226/13284.
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Appendix D

eMERGE Consortium Data Use Agreement

Data Use Agreement

For use by and among
Members of the Electronic Medical Records and Genomics Research
Network (eMERGE)

TERMS AND DEFINITIONS: The Electronic Medical Records and Genomics (eMERGE) Network (https://www.mc.vanderbilt.edu/victr/dcc/projects/acc/index.php/About) is a National Institutes of Health (NIH)-organized and -funded consortium of U.S. medical research institutions (“eMERGE Network”). The primary goal of the eMERGE Network is to develop, disseminate, and apply approaches to research that combine DNA biorepositories with electronic medical record (EMR) systems for large-scale, high-throughput genetic research. Member institutions participating in the consortium study the relationship between genetic variations and clinically relevant human traits, using the technique of genome-wide association (GWAS) analysis. Such studies involve testing hundreds of thousands of genetic variants called single nucleotide polymorphisms throughout the genome in people with and without a condition of interest. A fundamental question that eMERGE seeks to answer is whether electronic medical record (EMR) systems can serve as resources for such complex genomic analysis of disease susceptibility and therapeutic outcomes, across diverse patient populations. In addition, the consortium includes a focus on social and ethical issues such as privacy, confidentiality, and interactions with the broader community. Detailed information on the eMERGE network can be found at the eMERGE website (www.gwas.org).

Suggested Citation:"Appendix D: eMERGE Consortium Data Use Agreement." National Research Council. 2011. Toward Precision Medicine: Building a Knowledge Network for Biomedical Research and a New Taxonomy of Disease. Washington, DC: The National Academies Press. doi: 10.17226/13284.
×

The following entities are eMERGE Network members (“eMERGE Network Members” or “Members”): Group Health/University of Washington, Marsh-field Clinic, Mayo Clinic, Northwestern University and Vanderbilt University serve as the clinical sites (“Clinical Sites”); Vanderbilt University also serves as the consortium’s coordinating center (“Coordinating Center”); Broad Institute and Center for Inherited Disease Research both serve as genotyping facilities (“Genotyping Facilities”); and the National Center for Biotechnology Information (NCBI), NIH; and the National Human Genome Research Institute (NHGRI), NIH (“Program Officials”) serve as scientific and programmatic managers and technical advisors.

Researchers with a wide range of expertise in genomics, statistics, ethics, informatics, and clinical medicine employed by an eMERGE Network Member participate in the eMERGE network, including: Principal Investigators of the eMERGE Clinical Sites, the Coordinating Center, the Genotyping Facilities, and Program Officials from the National Center for Biotechnology Information and the National Human Genome Research Institute.

Data Sharing Guiding Principles: All data sharing will adhere to 1) the terms of consent agreed to by research participants; 2) applicable laws and regulations, and; 3) the principle that individual sites within the network have final authority regarding whether their site’s data will be used or shared, on a per-project basis. These principles are intended to maximize sharing of GWAS data generated by the eMERGE Members among and between other Members as well as with the wider scientific community, and to do this without compromising data security or the confidentiality of information about individuals whose data and/or samples are used for research.

Data Sharing Responsibilities: Principal Investigators of each eMERGE Clinical Site may designate data to accomplish activities defined in eMERGE sanctioned research studies (eMERGE data) to be shared as follows: (1) distribution through dbGaP; (2) distribution within the eMERGE Network; and/ or (3) distribution to the eMERGE Coordinating Center. The eMERGE data to be shared within eMERGE will be provided only to eMERGE Network Members that have signed this Agreement. All eMERGE Network Members and the eMERGE Coordinating Center may aggregate eMERGE data from all Member sites and, with documented approval prior to each submission from the contributing site(s), submit said eMERGE data to dbGaP and/or other databases administered by the National Institutes of Health. Each eMERGE Network Member may share its own data with external collaborators without approval of the other Members. If eMERGE data received from any Member is shared externally by another Member, prior approval from the Member providing the eMERGE data must be obtained and documented. Members sharing eMERGE data externally must also ensure that each external eMERGE data recipient agrees to the same restrictions and conditions applicable to Members

Suggested Citation:"Appendix D: eMERGE Consortium Data Use Agreement." National Research Council. 2011. Toward Precision Medicine: Building a Knowledge Network for Biomedical Research and a New Taxonomy of Disease. Washington, DC: The National Academies Press. doi: 10.17226/13284.
×

and Member Representatives regarding the use and disclosure of the eMERGE data as outlined in this Agreement or as may be required by law.

Statement of Confidentiality: By signing this Agreement, the authorized official representing an eMERGE Network Member, certifies that s/he and the Principal Investigators, fellows, students, and research staff (collectively, “Network Member Representatives”) working on eMERGE-related projects are aware of the confidential nature of data on research participants maintained by the Member and of the necessity for maintaining that confidentiality.

The eMERGE Network Member agrees not to attempt to personally identify any eMERGE participant based on eMERGE data and agree not to attempt to contact any eMERGE participant of a site other than their own. The Member agrees not to transfer or disclose any confidential data or any information about individual eMERGE participants, except as permitted by this Agreement or as required by law, either during or after the conclusion of the affiliation with eMERGE. The Member agrees to provide adequate security for the eMERGE data, including but not limited to safeguards intended to prevent unauthorized use or disclosure of such information. In addition each Member agrees to report in writing to the other Members any use or disclosure of any portion of the data of which it becomes aware that is not permitted by this Agreement including disclosures that are required by law.

The eMERGE Network Member agrees to ensure that its Network Member Representatives do not use, disclose or transfer any eMERGE data to anyone who is not an eMERGE Network Member except as permitted by this Agreement or as required by law. Further, the Member agrees to return all eMERGE data to the eMERGE Coordinating Center or delete/destroy all electronic eMERGE data upon termination of its affiliation with the eMERGE Network and to notify the eMERGE Coordinating Center when it has done so.

Limitations of Data Use: The eMERGE Network Member agrees to ensure that Network Member Representatives will only use eMERGE data in a manner that is consistent with any limitations that have been specified for individual studies by the disclosing Member and agreed to by the Steering Committee and shall ensure compliance with all applicable state and federal laws and regulations governing the use of such data including the Health Insurance Portability and Accountability Act of 1996 (HIPAA), if applicable, including any and all future amendments.

The eMERGE Network Member agrees to comply with all established policies of eMERGE governing the acquisition, analysis, reporting, publication, use and distribution of eMERGE data.

This Agreement supersedes and replaces all prior agreements made between eMERGE Network Members.

Suggested Citation:"Appendix D: eMERGE Consortium Data Use Agreement." National Research Council. 2011. Toward Precision Medicine: Building a Knowledge Network for Biomedical Research and a New Taxonomy of Disease. Washington, DC: The National Academies Press. doi: 10.17226/13284.
×

Agreed to by:

eMERGE Institution Authorized Official name and title (print): ___________

Signature: ________________________________ Date: ________________

Read & Understood by:

Network Member Representative name & title (print): __________________

Signature: ________________________________ Date: ________________

Member Representative’s Institution:

________________________________________________

Suggested Citation:"Appendix D: eMERGE Consortium Data Use Agreement." National Research Council. 2011. Toward Precision Medicine: Building a Knowledge Network for Biomedical Research and a New Taxonomy of Disease. Washington, DC: The National Academies Press. doi: 10.17226/13284.
×
Page 115
Suggested Citation:"Appendix D: eMERGE Consortium Data Use Agreement." National Research Council. 2011. Toward Precision Medicine: Building a Knowledge Network for Biomedical Research and a New Taxonomy of Disease. Washington, DC: The National Academies Press. doi: 10.17226/13284.
×
Page 116
Suggested Citation:"Appendix D: eMERGE Consortium Data Use Agreement." National Research Council. 2011. Toward Precision Medicine: Building a Knowledge Network for Biomedical Research and a New Taxonomy of Disease. Washington, DC: The National Academies Press. doi: 10.17226/13284.
×
Page 117
Suggested Citation:"Appendix D: eMERGE Consortium Data Use Agreement." National Research Council. 2011. Toward Precision Medicine: Building a Knowledge Network for Biomedical Research and a New Taxonomy of Disease. Washington, DC: The National Academies Press. doi: 10.17226/13284.
×
Page 118
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Motivated by the explosion of molecular data on humans-particularly data associated with individual patients-and the sense that there are large, as-yet-untapped opportunities to use this data to improve health outcomes, Toward Precision Medicine explores the feasibility and need for "a new taxonomy of human disease based on molecular biology" and develops a potential framework for creating one.

The book says that a new data network that integrates emerging research on the molecular makeup of diseases with clinical data on individual patients could drive the development of a more accurate classification of diseases and ultimately enhance diagnosis and treatment. The "new taxonomy" that emerges would define diseases by their underlying molecular causes and other factors in addition to their traditional physical signs and symptoms. The book adds that the new data network could also improve biomedical research by enabling scientists to access patients' information during treatment while still protecting their rights. This would allow the marriage of molecular research and clinical data at the point of care, as opposed to research information continuing to reside primarily in academia.

Toward Precision Medicine notes that moving toward individualized medicine requires that researchers and health care providers have access to very large sets of health- and disease-related data linked to individual patients. These data are also critical for developing the information commons, the knowledge network of disease, and ultimately the new taxonomy.

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