What We Do
The mission of the NIDAta Group is to facilitate advancements in addiction science by leveraging the potential of Big Data and data science research. To accomplish this mission, members of NIDAta will work to:
- Ensure that NIDA efforts are aligned with and complimentary to NIH efforts and goals, including the trans-NIH Big Data to Knowledge (BD2K) initiative
- Ensure that NIDA staff and grantees are informed of insights from broader NIH initiatives and infrastructure to support Big Data science
- Identify big data resources, opportunities, and training of interest to NIDA staff and grantees
- Consider the implications of advances in data science across the full spectrum of addiction research, from basic cellular research to public health research
NIDAta is composed of program officers, IT representatives, analysts, and contract officer’s representatives (CORs) with expertise and interest in Big Data science. NIDAta members have cross-cutting expertise that spans the breadth of NIDA research domains, but with a shared goal of advancing addiction research through data science. In pursuing the goals above, NIDAta will strive to identify opportunities to enhance addiction science through trans-NIDA collaborations. Areas of shared interest include, for example, enhancing the use of common data elements (CDEs) in NIDA-funded research, integrative approaches that cross levels of analysis, and research opportunities made possible through technologies such as mobile health (mHealth) and electronic health records (EHRs).
The power of Big Data science cannot be realized without the provision of an appropriate digital ecosystem. The trans-NIH Big Data to Knowledge (BD2K) initiative signals strong NIH commitment to big data but does not provide a guide for implementation within institutes such as NIDA. NIDAta aims to also act as a liaison between trans-NIH efforts towards building this digital ecosystem and NIDA grantees, thus creating opportunities for NIDA researchers to benefit from and contribute to the broader NIH Big Data infrastructure.
- Create resources for grantees, for example, identifying and sharing exemplary Big Data science utilization, repositories, standards or other efforts
- Serving as a liaison to NIH Big Data to Knowledge (BD2K) activities, ensuring that relevant information is shared with NIDA staff and grantees as appropriate
- Consultation on Big Data-related funding opportunity announcements and meetings
- Discuss scientific opportunities in addiction big data science that could be made possible by trans-NIDA collaborations, for example, through NIDA-wide Common Data Elements (CDEs), mHealth, and EHRs as a tool for prevention and intervention
- Identifying and advising on technical issues associated with advancing data science in addiction