Accessing our Data
A2CPS data is maintained in the National Institutes of Mental Health (NIMH) Data Archive (NDA). It is available through the NDA portal to any researcher who gains access by completing a Data Access Request (DAR) for the "NDA permission group." To apply for access, first log in to your existing account with any of the three NIH Research Auth Service (RAS) sites. RAS is a cloud-based authentication and authorization service that facilitates access to NIH’s open and controlled data assets and repositories in a consistent, secure, and user-friendly manner; learn more here. If you do not have an RAS account, simply create one in NDA. Next, visit the Data Permissions Dashboard - note: you must be signed in to access this page. On the Dashboard, go to the "Actions" column for the NDA permission group and click "Request Access" to initiate the DAR.
Depending on your level of access, you can view information about A2CPS data in NDA. For example, visit the data description page here. Note: A2CPS is called "Data Center for Acute to Chronic Pain Biosignatures" in NDA, project #5121. NDA features a rich library of Webinars and Tutorials to help you access the data. Here on the A2CPS site, find more information about the data we collected on our page About the Data.
How to Cite A2CPS
In publications or presentations including data from A2CPS, please include the following statement as attribution:
Data were provided [in part] by the A2CPS Consortium funded by the National Institutes of Health (NIH) Common Fund, which is managed by the Office of the Director (OD)/ Office of Strategic Coordination (OSC). Consortium components and their associated funding sources include Clinical Coordinating Center (U24NS112873), Data Integration and Resource Center (U54DA049110), Omics Data Generation Centers (U54DA049116, U54DA049115, U54DA049113), Multi-site Clinical Center 1 (MCC1) (UM1NS112874), and Multi-site Clinical Center 2 (MCC2) (UM1NS118922).
The following published papers should be cited when referring to A2CPS Protocol and Biomarkers:
Predicting chronic postsurgical pain: current evidence and a novel program to develop predictive biomarker signatures. PAIN, online June 15, 2023. Kathleen Sluka, Tor Wager, Stephani Sutherland, Patricia Labosky, Tessa Balach et al.
Multi-Site Observational Study to Assess Biomarkers for Susceptibility or Resilience to Chronic Pain: The Acute to Chronic Pain Signatures (A2CPS) Study Protocol. Frontiers in Medicine, April 25, 2022. Giovanni Berardi, Laura Frey-Law, Kathleen Sluka, Emine Bayman, Christopher Coffey et al.
