This new grant, headed by Bright Outcome and funded by the National Institute of Alcohol Abuse and Alcoholism (NIAAA), will develop an almost-automatic process to help alcohol researchers meet the requirements of the new NIAAA data-sharing policy.
ARG will provide expertise and knowledge about data collection to better inform the project.
The NIAAA data-sharing agreement requires that all NIAAA grant applications involving human subjects must include plans for the submission of study data to NIAAADA. The NIAAADA is a central data archive to store and share de-identified human subject data from NIAAA-funded research studies.
The first wave of data submission to NIAAADA is expected in 2020.
Many obstacles exist for alcohol researchers to comply with this policy, especially for those with limited budget and information technology and data management support. To submit the study data, researchers have to map their data to the right fields in the right format in a given data template, which often requires researchers to manipulate their data by-hand or with complicated scripts, or request a new data structure from NDA, which compromises the goal of data sharing.
The project will enable researchers to meet the requirements of the new policy to ensure the data are accurate and the process is efficient without the need for IT knowledge and resources.
Senior scientists Thomas K. Greenfield and Katherine Karriker-Jaffe, and associate scientist Christina Tam form the ARG research team.