Access PAN study data
for research

Explore available datasets, review SOPs & protocols, and submit a short abstract to request access. New data are typically released on April 1 and October 1 each year.

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Data Dictionary Data Use Agreement

The data included in the first data release is from baseline measures from participants from the Precision Aging Network, “Closing the Gap Between Cognitive Health Span and Human Lifespan,” (5U19AG065169).

For Project 1, participants from MindCrowd® have been continuously enrolled since 2013.

Participants enrolled into Project 2, the Healthy Minds for Life (HML) cohort were entered into PAN from 2022 through June 30, 2025. These participants were recruited from both MindCrowd® and through local recruitment efforts across four sites: the University of Arizona; Johns Hopkins University; Emory University; and the University of Miami.

Explore Datasets

Click a category to learn what variables are available, see protocols and the data dictionaries.

MindCrowd Data

Project 1 of the Precision Aging® Network: MindCrowd® national sample, demographics and cognitive tests.

Healthy Minds for Life Data (HML)

Project 2 of the Precision Aging® Network: Healthy Minds for Life (HML) In-depth longitudinal cohort study.

Healthy Minds for Life Demographics (HML)

Demographics, biometrics and health intake.

Carotid Ultrasound (HML)

Vascular imaging-derived metrics and protocols.

Cognitive Function (HML)

Neuropsych batteries and MindCrowd cognitive tasks.

Imaging / MRI (HML)

Processed MRI data and protocols. Raw data access coming soon.

Labs & Biomarkers (HML)

Clinical labs and derived biomarker panels.

Non-Invasive Technologies (HML)

Wearables, language and speech tasks, frailty assessments and cortisol.

Surveys (HML)

Validated functional assessments, health and physical assessments, and psychosocial surveys.

Prepare Your Abstract

Forms & Other Documentation

Link to an index of SOP’s for collection and processing.

Protocols (with DOIs)

List of protocols with permanent identifiers (DOIs)

Data Dictionary

Views of all available data tables.

View Dictionary

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Data Use Agreement(Required)

Precision Aging® Network Data Use Agreement (DUA):

I request access to data collected by the Precision Aging® Network (PAN) for the purpose of scientific investigation, teaching, or the planning of research studies.

I agree to the following terms:

a. I confirm that the data will be used for non-profit or academic pursuits only. If you are interested in using Precision Aging Network (PAN) data for commercial / for-profit research and development, please email info@precisionagingnetwork.org to discuss a data licensing agreement.

b. I will receive access to de-identified data and will not attempt to establish the identity of, or attempt to contact any of the PAN participants.

c. I will not attempt to make direct contact with PAN PIs or staff at sites concerning the specific results of individual subjects.

d. I will not further disclose these data beyond the uses outlined in this agreement and my data use application. This includes other members of my research team. Each person working with PAN data is required to request access. I understand that redistribution of individual participant-level data in any manner is prohibited.

e. I will comply with any rules and regulations imposed by my institution and its institutional review board in requesting these data.

If I publish abstracts using data from PAN, I agree to the following:

I will cite PAN as the source of data and the PAN funding sources in the abstract as space allows. This citation is as follows:
Data collection and sharing for the Precision Aging Network (PAN) is funded by the National Institute on Aging (National Institutes of Health Grant “Closing the Gap Between Cognitive Health Span and Human Lifespan” (U19AG065169)).

For abstracts, you are not required to cite PAN in the authorship line.

PAN should be cited on the poster in this same fashion and/or during any oral presentation that utilizes PAN data.

If I publish manuscripts using data from PAN, I agree to the following:

We always appreciate referencing the writing block for PAN researchers in the by-line of the manuscript, after the named authors and we recommend writing the following statement and list of names:
“ We acknowledge the members of the Precision Aging® Network for their contribution to the research: B. Aimagamabetova, A. Aldabergenova, C. Anderson, M. Albert, C. Babbitt, C. A. Barnes, S. Beres, N. Bhadra, A. Bilgin, Y.F. Bolla, A. Bonfitto, A. Box, R. D. Brinton, E. Burrows, D. Cabral, V. D. Calhoun, S. Callahan, C. Camargo, C. Carrasco, D. Chambers, NK. Chen, Z. Chen, D. Coon, M. M. Crespo, M.D. De Both, W. Degnan III, M. Dehghan Rouzi, K. A. Delgado, A. Dolby, J. Don, V. M. Dotson, K. P. Doyle, K. Ellingson, M. Fan, A. Feal Rodriguez, S. Fox-Rosellini, J.B. Frye, L. F. Gladulich, A. Glinka, L. Gossa, S. Han, M. Hay, S. Hoscheidt, M.J. Huentelman, T. James, K. Johnson, M. Johnson, D. Kartchner, S.-Y. Kim, B.J. LaFleur, J.J. Lah, A.J.B. Lee, M. Lee, G. Leito, A.I. Levey, B. Levin, S. Matijevic, M.R. Mehl, N. Merchant, S. Merritt, D. Metz, C.S. Mitchell, M. Modjeski, A. Moghekar, C. H. Na, B. Najafi, M. Naymik, K. Norton, T. Nuno, B. Nursal, E. Paitel, P. Pattany, J. Pekar, C.A. Pettigrew, G. Pfaff, V. Pfeifer, S.-E. Roh, T. Rundek, J. R. Runyon, L. Ryan, D. Sama-Borbon, K. Sanders, N. Schork, S. Scott, S. Sharma, A. Sidhu, J. Simon, J. Sloan, T. Smith, S. Sockanathan, A. Sokan, A. Soldan, S. Soto, B. Stark, E. M. Sternberg, X. Sun, , M. Swartzlander, F. Taguinod, R. Tandon, M. Taylor John, T. Trouard, C. Ugonna, J.G. Varelo Saboria, H. Venkatachalam, L. White, P. F. Worley, J. Xie, Y. Yang, C. Ye, T. Yuhas, T.K. Zepeda, J. Zhou

I will include language similar to the following in the Methods section of my manuscript(s) in order to accurately acknowledge data gathering by the PAN personnel. Depending upon the length and focus of the article, it may be appropriate to include more or less than the example below. However, inclusion of some variation of the language shown below is mandatory.
Data used in the preparation of this work were obtained from the Precision Aging Network (PAN) database (www.precisionagingnetwork.org). PAN was launched in 2021 and led by Principal Investigator Carol Barnes, PhD. The original goal of PAN was to help discover the best ways to optimize brain health across the lifespan and extend our cognitive healthspan.

I will acknowledge funding by PAN in the appropriate section of the manuscript using language similar to the following:
Data collection and sharing for the Precision Aging Network (PAN) is funded by the National Institute on Aging (National Institutes of Health Grant “Closing the Gap Between Cognitive Health Span and Human Lifespan” (U19AG065169)). The grantee organization is the University of Arizona.

I will use appropriate administrative, physical, and technical safeguards to prevent the use or disclosure of the data other than as provided for by this Agreement.

I will report any use or disclosure of the data not provided for by this Agreement within 15 days of becoming aware of such use or disclosure.

IMPORTANT NOTE: It is the policy of the Precision Aging Network to make data available to investigators as quickly as possible. However, data analysis for this project is ongoing and methods for analysis of these datasets evolve. Therefore, I understand that any processed data that I download might be preliminary and that results may change as new methods of analysis are implemented. I will familiarize myself with the analysis methods so that I am aware of the limitations of these data prior to using them for scientific purposes.

Finally, because "preliminary data" will be posted on the database, in the event that I download data from the PAN database for the purposes of analysis and future presentation/publication in the form of abstracts and/or manuscripts, I will note the version (download date) or permanent identifier of the data I download and provide this information in any Methods section (if publishing), and I will check the database to determine if updated data has been provided prior to submission of any material for publication.

PAN maintains the right to modify terms of this agreement and may do so by sending emails to the institutional contact. Any modification made is effective immediately upon sending the modification (unless otherwise stated). Also, an updated DUA will be shared on www.precisionagingnetwork.org.

I agree to the data use agreement (above)

	Available (N=364810)
Age	364810 (100%)
Sex	364810 (100%)
Race/Ethnicity	364810 (100%)
Handedness	357829 (98.1%)
Highest Level of Education Completed	363808 (99.7%)
Attention Test (svRT)	364810 (100%)
Paired Associates Test	364810 (100%)
Number of Daily Medications	357777 (98.1%)
No Chronic Conditions	277812 (76.2%)
Depression/Anxiety	277812 (76.2%)
Chronic Stress	277812 (76.2%)
Stroke	277812 (76.2%)
Alzheimers	277812 (76.2%)
Brain Disease	277812 (76.2%)
Loss of Consciousness	277812 (76.2%)
Memory Problems	277812 (76.2%)
Seizures	277812 (76.2%)
Parkinson’s Disease	277812 (76.2%)
Sleep Problems	277812 (76.2%)
Type I Diabetes	277812 (76.2%)
Type II Diabetes	277812 (76.2%)
Hypertension	277812 (76.2%)
Heart Disease	277812 (76.2%)
Smoking	277812 (76.2%)
Cancer	277812 (76.2%)

	Available (N=764)
Age	764 (100%)
Sex	764 (100%)
Race/Ethnicity	764 (100%)
Handedness	758 (99.2%)
Highest Level of Education Completed	764 (100%)
Attention Test (svRT)	764 (100%)
Paired Associates Test	764 (100%)
Number of Daily Medications	753 (98.6%)
Health Intake	764 (100%)
Mind Crowd Demographics (includes some health history variables)	726 (95.0%)
Medications and Health Intake	764 (100%)
Biometrics Data	763 (99.9%)
Healthy Minds for Life Eligibility	764 (100%)

	Available (N=764)
Velocity Data	288 (37.7%)
Intima-Media Thickness (IMT) Data	194 (25.39%)

	Available (N=764)
AVLT	763 (99.87%)
MoCA	762 (99.74%)
NAART	762 (99.74%)
PHQ-9*	763 (99.87%)
Flanker Task	653 (85.5%)
Keep Track Task	587 (76.8%)
Letter Number Task	598 (78.3%)
Simple and Choice Reaction Time	618 (80.9%)
Verbal Paired Associate Learning	631 (82.6%)
*PHQ-9 is a depression screening tool

	Available (N=764)
Anatomic Measures	700 (91.6%)
Perfusion Arterial Spin Labeling	671 (87.8%)
Diffusion Weighted Imaging	671 (87.8%)
Resting-State Functional Magnetic Resonance Imaging Cortical-Cerebellar	672 (88%)
Resting-State Functional Magnetic Resonance Imaging Whole Brain	672 (88%)
Resting-State Functional Magnetic Resonance Imaging Intra-Regional	672 (88%)
White Matter Hyperintensities	692 (90.6%)

	Available (N=764)
AD Plasma Biomarkers	628 (82.2%)
APOE4 Status	445 (58.25%)
Epigenetic Clocks	428 (56.02%)
Millipore Cytokine Assay	661 (86.52%)
NULISA Seq CNS Disease Panel	569 (74.48%)
Polygenic Risk Scores	445 (58.25%)
Sonora Quest Blood Chemistries	645 (84.42%)

	Available (N=764)
Garmin	439 (57.46%)
Language Speech Task	753 (98.56%)
UEF Frailty	687 (89.92%)
Cortisol	607 (79.45%)

	Available (N=764)
Anxiety	568 (74.3%)
QPAR	566 (74.1%)
SWLS	616 (80.6%)
Sleep	564 (73.8%)
Social Stressors	604 (79.1%)
Social Support	611 (80%)
Stress	616 (80.6%)

	Available (N=764)
ADL	610 (79.8%)
Anxiety	568 (74.3%)
Brain Disease	557 (72.9%)
Covid	557 (72.9%)
Diet	609 (79.7%)
FHAD	627 (82.1%)
Health Medical	558 (73%)
QPAR	566 (74.1%)
SES	619 (81%)
SWLS	616 (80.6%)
Sleep	564 (73.8%)
Social Stressors	604 (79.1%)
Social Support	611 (80%)
Stress	616 (80.6%)
Subjective English	638 (83.5%)

Access PAN study data for research

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How it works

Explore Datasets

MindCrowd Data

Healthy Minds for Life Data (HML)

Healthy Minds for Life Demographics (HML)

Carotid Ultrasound (HML)

Cognitive Function (HML)

Imaging / MRI (HML)

Labs & Biomarkers (HML)

Non-Invasive Technologies (HML)

Surveys (HML)

Prepare Your Abstract

Forms & Other Documentation

Protocols (with DOIs)

Data Dictionary

Submit Request

Carotid Ultrasound

Cognitive Function Paper Tests

Scored Survey Forms

Raw Survey Forms

Scored Surveys

Cognitive Function

Imaging (MRI)

Labs & Biomarkers

Data Dictionary

Data Dictionary

Standard Operating Procedures

Data Dictionary

Paper Tests

Online Tests

Data Dictionary

Data Dictionary

Protocols

Data Dictionary

Protocols

Data Dictionary

Scored Surveys

Scored Survey Forms

Data Dictionary (Scored Surveys)

Raw Surveys

Data Dictionary (Raw Surveys)

Survey Forms (Raw Data)

Carotid Ultrasound

Cognitive Function Paper Tests

Scored Survey Forms

Raw Survey Forms

Scored Surveys

Cognitive Function

Imaging (MRI)

Labs & Biomarkers

Access PAN study data
for research