Platforms

Image of visual data graphs created by the biostatistics team.

ATRI Informatics Platform

The ATRI-IP serves as an extensible, secure, and scalable information, collaboration, and process management infrastructure to facilitate the effective execution of the program- and study-related research activities by investigators, study teams, and performance sites. The ATRI-IP will allow facilities to collect, store, process, analyze, visualize, audit, and share scientific, operational, and administrative data and related metadata using standardized platform-independent data models, formats, and taxonomies.

This platform supports multiple NIH sponsored programs including ACTC, ADNI, NIAD, TRC-PAD, ABC-DS, LEADS, TRC-DS.

    TRC-PAD Informatics Platform

    The Trial-Ready Cohort for Preclinical/Prodromal Alzheimer’s Disease (TRC-PAD) Informatics Platform (TRC-PAD IP) was developed to facilitate the efficient selection, recruitment, and assessment of study participants in support of the TRC-PAD program (Aisen et al., 2020). The TRC-PAD IP provides a secure, scalable, multi-tiered information management platform designed to facilitate high-throughput, cost-effective selection, recruitment, and assessment of TRC-PAD study participants and develop a learning algorithm to select amyloid-bearing participants to participate in trials of early-stage Alzheimer’s disease (Jimenez-Maggiora et al., 2020).

    As of 2023, the TRC-PAD IP has supported the enrollment of over 50 thousand participants into the TRC-PAD program. The platform has been extended to support the rapid assessment of novel digital recruitment and retention interventions. Interventions that demonstrate feasibility and effectiveness can be implemented efficiently. The addition of plasma-based biomarker screening is also underway.

      Image of visual data graphs created by the biostatistics team.
      Image of visual data graphs created by the biostatistics team.

      ATRI Data Sharing Platform

      We are developing a new infrastructure to support open science and data sharing following CAP and FAIR data principles: ATRI DataShare. This infrastructure will serve as the primary repository for making ATRI and ACTC data, tools, and methods available to the scientific community for secondary research. Work on the ATRI DataShare platform has begun with financial and in-kind support from NIH and Gates Ventures. Once complete, ATRI DataShare will:

      • Create an informatics infrastructure that allows visualization and linkage of materials to enable precise requests
      • Enable selection of data, images, and biospecimens by demographic, genetic, and other data specifications
      • Enable sharing of images that are de-identified and defaced (where necessary)
      • Package data sets with R code to facilitate analysis and reproducibility
      • Share extensive documentation including publications, protocols, consent forms, and data dictionaries