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Research Resources

Use the NIA Research Resources database to find NIA-supported scientific resources, datasets, informatics resources, and more. Search by keyword, resource type, or NIA Division or IRP. 

Health Databases

Advanced Cognitive Training for Independent and Vital Elderly (ACTIVE)

With 2,832 participants, the ACTIVE Study is the largest study on cognitive training ever performed. Funded by the National Institutes of Health and led by researchers at the University of Alabama at Birmingham, the National Institute on Aging, the Indiana University School of Medicine, Penn State University, and others, the ACTIVE study proves that healthy older adults can make significant cognitive improvements with appropriate cognitive training and practice. It also demonstrates that Posit Science training drives improvements that are significantly better than other types of cognitive exercise.


Alzheimer's Preclinical Efficiency Database (AlzPED)

AlzPED is a publicly available, searchable, data resource that aims to increase the transparency, reproducibility and translatability of preclinical efficacy studies of candidate therapeutics for Alzheimer’s disease. AlzPED is designed as a knowledge platform for the dissemination of data and analysis to scientists, from academic centers, industry, disease-focused foundations, in a manner that promotes efficiency, transparency, reproducibility and accuracy of research aimed at preclinical therapy development for AD. AlzPED provides quick access and visibility to integrated preclinical efficacy data from published and unpublished studies. Visit the AlzPED website.


American Time Use Survey (ATUS) including the NIA-supported Well-Being module

The American Time Use Survey (ATUS) provides nationally representative estimates of how, where, and with whom Americans spend their time, and is the only federal survey providing data on the full range of nonmarket activities, from childcare to volunteering. ATUS data files are used by researchers to study a broad range of issues; the data files include information collected from over 136,000 interviews conducted from 2003 to 2012.


CALERIE Intensive Intervention Database

CALERIE (Comprehensive Assessment of Long term Effects of Reducing Intake of Energy) was a study designed to determine the biological effects of two years of prolonged caloric restriction (CR) in humans. The CALERIE database contains information from study participants on physiological and immune functions, physical performance, psychological outcomes, dietary records, disease risk factors, blood chemistry, and hematology. The biospecimen repository includes serum, plasma, urine, muscle, and fat.

The CALERIE Intensive Intervention Database is a toolkit that allows investigators to identify the major factors affecting individual participants’ interventions and adherence over the course of the trial. A computer-based algorithm provides specific strategies in Behavioral/Environmental and Nutritional/Dietary Toolboxes. Researchers can use these resources to identify key pathways that respond to CR, and for targets for novel interventions in aging research. Investigators can also examine a variety of risk factors, aging-related outcomes, and psychological and behavioral factors that interact with lowered caloric intake and weight loss.

Learn more and access the CALERIE Intensive Intervention Database.


Cardiovascular Health Study (CHS)

The CHS is an NIH-funded observational study of nearly 6,000 people aged 65 and older that aims to identify risk factors for related to the onset of coronary heart disease and stroke. The CHS also serves as a platform to investigate other research topics that impact older adults, such as pulmonary disorders, diabetes, kidney disease, vascular dementia, and frailty.

Study participants underwent annual clinical exams between 1989 and 1999 and again in 2005-2006. Measurements include traditional risk factors such as blood pressure and lipids as well as echocardiography of the heart, carotid ultrasound, cranial magnetic-resonance imaging, and functional assessments. Participants continue to be contacted by telephone every six months to report hospitalizations and health status. Researchers can request CHS biospecimens and data via the NHLBI BioLINCC.


English Longitudinal Study of Ageing (ELSA)

The English Longitudinal Study of Ageing (ELSA) is a longitudinal study that collects multidisciplinary data from a representative sample of the English population aged 50 and older. The survey data are designed to be used for the investigation of a broad set of topics relevant to understanding the aging process. Both objective and subjective data are collected covering themes such as: health trajectories, disability and healthy life expectancy, the determinants of economic position in older age; the links between economic position, physical health, cognition, and mental health; the nature and timing of retirement and post-retirement labor market activity; household and family structure, social networks and social supports; patterns, determinants, and consequences of social, civic, and cultural participation and predictors of well-being. ELSA is led by Professor Sir Michael Marmot and is jointly run by teams at University College London (UCL), the Institute for Fiscal Studies (IFS), National Centre for Social Research, and the University of Manchester.


Gateway to Global Aging Data

The Gateway to Global Aging is a platform for population survey data on aging around the world. You can access data from 11 longitudinal studies on aging through this site, which is hosted by the University of Southern California’s Program on Global Aging, Health, and Policy. The project’s goal is to provide the resources to support cross-national research on aging: a comprehensive digital library of survey questions, a search engine that finds concordance information across surveys, and a set of harmonized or identically defined variables for analysis. You can also use a data manipulation tool on the website.


Health and Retirement Study (HRS)

The University of Michigan Health and Retirement Study (HRS) is a longitudinal panel study that surveys a representative sample of more than 26,000 Americans over the age of 50 every two years. Supported by the National Institute on Aging (NIA U01AG009740) and the Social Security Administration, the HRS explores the changes in labor force participation and the health transitions that individuals undergo toward the end of their work lives and in the years that follow. Since its launch in 1992, the study has collected information about income, work, assets, pension plans, health insurance, disability, physical health and functioning, cognitive functioning, and health care expenditures. Through its unique and in-depth interviews, the HRS provides an invaluable and growing body of multidisciplinary data that researchers can use to address important questions about the challenges and opportunities of aging


Health and Retirement Study Sister Studies

The Health and Retirement Study (HRS), funded by NIA and the Social Security Administration, has become the model for a growing network of longitudinal aging studies around the world. Learn more about HRS international sister studies: https://hrs.isr.umich.edu/about/international-sister-studies


Integrative Analysis of Longitudinal Studies on Aging (IALSA)

The IALSA research network is a collaborative research infrastructure for coordinated interdisciplinary, cross-national research aimed at the integrative understanding of within-person aging-related changes in health and cognition. The IALSA network is currently comprised of over 25 longitudinal studies on aging, spanning eight countries, with a combined sample size of approximately 70,000 individuals. These studies represent a mix of population representative, volunteer, and special population samples. Within the network, data have been collected on individuals aged 18 to over 100, with birth cohorts ranging from 1880 to 1980, and historical periods from 1956 to the present. Between-occasion intervals range from 6 months to 17 years (the majority 1-5 years), with between 2 and 32 (mainly 3-5) measurement occasions spanning 4 to 48 years of within-person assessment.