PROJECT SUMMARY This collaborative project, Mindfulness and Integrative Health Data Network (MINDNET), responds to RFA-AT- 25-005 by creating a highly usable and accessible data repository of complementary and integrative health (CIH) interventions, producing high-quality reviews and methodology papers, and creating pilot awards and providing education, training, and communications to enhance impact. There has been exponential growth of clinical trials of CIH interventions and a strong need to stay abreast of new findings by efficiently synthesizing information across PICOs (Population, Intervention, Comparison, and Outcome), evaluating new models and formats of CIH programs (e.g., via mobile delivery), and fostering timely reviews and meta-analyses for key stakeholders including health insurers, policy makers, patients and providers. Greater support and resources are also needed for the scientific community to utilize CIH data with rigorous methodology, state of art practices, and to disseminate review findings for key stakeholders. The MINDNET project will build on our team’s expertise in systematic reviews and meta-analyses of mindfulness-based interventions (MBIs) and other CIH interventions, experience creating and maintaining a public repository for meta-analyses, and implementation science work with key stakeholders to identify the highest priority evidence needs and disseminating findings for evidence- informed policy and practice. Specifically, Aim 1 will involve creating a data repository of CIH interventions through systematic literature search and coding. Strategic planning meetings with advisory committee and NCCIH priority will inform the CIH intervention domains (e.g., mindfulness, yoga, tai chi, qigong, acupuncture, chiropractic) and outcome areas (e.g., pain, psychiatric symptoms). An open-access data repository will be produced as a result, with regular updates every 6 months. The platform will be built on prior success of Metapsy, a public data repository for reviews and meta-analyses of psychotherapy, and will incorporate advanced features for data interface. Aim 2 will capitalize on our team’s expertise to produce high-quality meta-analyses of MBIs, as well as methodology papers aiming to advance the science of CIH reviews and clinical trial methodology. Aim 3 will generate non-MBI focused pilot awards to produce systematic reviews and meta-analyses in key areas of CIH, with resources, coding support, and quality assurance provided by the core MINDNET team. Aim 3 will also include education and training via asynchronous and synchronous forms to foster rigorously conducted reviews, and communications to increase the impact of MINDNET and its research. The long-term vision of MINDNET is to (a) foster open science, transparency, and rigor in CIH reviews and clinical trials; (b) advance CIH science by providing clear synthesis of evidence, addressing key gaps in the current literature and identifying priorities for future researc...