Common Contracts
3 similar Use Certification Agreement contracts
Data Use Certification AgreementUse Certification Agreement • September 26th, 2022
The Genetic Association Information Network (GAIN) is a public-private partnership formed with the goal of identifying genetic variants that contribute to diseases of major public health importance by catalyzing genome-wide association analyses on samples from existing studies that include large numbers of affected and unaffected individuals. GAIN is founded on the principle that scientific progress will be most efficient and innovative if data are readily available to all investigators in the research community. Contributing Investigators who provide phenotype data and DNA samples from participants to a GAIN Project have committed to this principle and their professional investments and intellectual contributions will be fundamental to the ultimate success of GAIN.
Data Use Certification AgreementUse Certification Agreement • September 26th, 2022
The Genetic Association Information Network (GAIN) is a public-private partnership formed with the goal of identifying genetic variants that contribute to diseases of major public health importance by catalyzing genome-wide association analyses on samples from existing studies that include large numbers of affected and unaffected individuals. GAIN is founded on the principle that scientific progress will be most efficient and innovative if data are readily available to all investigators in the research community. Contributing Investigators who provide phenotype data and DNA samples from participants to a GAIN Project have committed to this principle and their professional investments and intellectual contributions will be fundamental to the ultimate success of GAIN.
Data Use Certification AgreementUse Certification Agreement • December 9th, 2020
The Genetic Association Information Network (GAIN) is a public-private partnership formed with the goal of identifying genetic variants that contribute to diseases of major public health importance by catalyzing genome-wide association analyses on samples from existing studies that include large numbers of affected and unaffected individuals. GAIN is founded on the principle that scientific progress will be most efficient and innovative if data are readily available to all investigators in the research community. Contributing Investigators who provide phenotype data and DNA samples from participants to a GAIN Project have committed to this principle and their professional investments and intellectual contributions will be fundamental to the ultimate success of GAIN.
