Within the MAARC, the Data and Analytics Support Core (DASC) plays a key role by providing fundamental data and analytic services to all CRCs. We shall accomplish this with the following aims:
Aim 1. Establish rigorous standards for the design, conduct and analysis of all trials and other data collection activities funded by JCOIN to ensure that the data collected: (1) are of the greatest scientific value; (2) are analyzed in appropriate ways using advanced statistical and other analytic methods, as necessary; (3) may be combined across different studies and with external data sources to increase power, permit replication, and answer new research questions; and (4) may be shared with other researchers while protecting participant confidentiality.
Aim 2. Create a secure, scalable computing infrastructure based on the proven, open-source Gen3 Data Commons platform to facilitate: (1) compiling and archiving harmonized data from the CRCs and other sources using common data elements (CDEs) from NIH's repository, whenever possible; (2) performing meta-analyses using data from multiple sites; (3) collaborative analyses using shared data, software and/or analytic methods; and (4) access to data within the JCOIN network and by the research community.
Aim 3. Provide integrated, comprehensive resources to individual JCOIN CRCs for data collection and management including: (1) identifying and designing instruments for data collection including cost and quality of life measures, using the PhenX toolkit whenever possible; (2) software tools for data collection, including access to REDCap (including mobile interface) and to the newly-developed Computerized Adaptive Test- Substance Abuse (CAT-SA); (3) software tools and workflows for data cleaning, QC and management; and (4) procedures for protecting participant confidentiality including an honest broker service.
Aim 4. Provide technical assistance to individual CRCs in a variety of analytic methods including: (1) advanced statistical methods for the design and analysis of randomized, controlled trials as well as meta- analyses of multiple studies; (2) methods for the coding and analysis of structured, qualitative data; and (3) advanced computational methods for predictive analytics and analysis of spatial and social network data.
Aim 5. In coordination with the Administrative Core, design and implement a wholistic approach to broad sharing of JCOIN resources: (1) create and maintain a public website for distribution of information about CRC studies and datasets available; (2) extend the Data Commons to include public-facing tools for exploring available datasets at an aggregate level; (3) develop and implement a governance model for the Data Commons which permits researchers to request and access data while maintaining appropriate safeguards to protect participant confidentiality; and (4) conduct training in using data and computational resources for members of the network and screencasts for public distribution.

National Institute of Health (NIH)
National Institute on Drug Abuse (NIDA)
Resource-Related Research Multi-Component Projects and Centers Cooperative Agreements (U2C)
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Special Emphasis Panel (ZDA1)
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University of Chicago
United States
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