# Core C: Data Management and Analysis Core

> **NIH NIH P01** · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · 2020 · $277,905

## Abstract

Core C: Data Management and Analysis Core—Abstract
 Valid, reliable, and comparable information on the health of populations, including non-fatal outcomes, is
an essential requirement for effective public health programs. The Health and Aging in Africa: Longitudinal
Studies of an INDEPTH Community (HAALSI) Program is the only Health and Retirement Survey (HRS) sister
study in Africa and fills a gap by providing information on a cohort of older adults within a Health and
Demographic Surveillance Site (HDSS), in the context of high HIV prevalence and rising risks and prevalence
of cardiometabolic diseases (CMD). The five projects in HAALSI share a need to collect valid, reliable, and
comparable measurements on a wide array of variables of interest; to characterize trends over time in selected
outcomes; and to undertake rigorous analysis of key relationships between variables, including evaluation of
causal effects where relevant and feasible. In addition to its position as the only HRS sister study in sub-
Saharan Africa, the specific research aims of the HAALSI Program reside within a broader INDEPTH initiative
to advance the understanding of adult health and aging across the network, which adds further salience to the
need to develop durable measurement and analytic procedures, techniques, and instruments for illuminating
patterns and trends in the health and well-being of older adults. The overall goal of the Data Management and
Analysis Core (Core C) is to serve as a fundamental resource to all of the projects, the investigative team, and
the scientific community via a set of key functions including: developing and disseminating a harmonized set of
measurement instruments; developing the analytic basis for instrument testing and validation in close
collaboration with the Field Core (Core B); and providing a focal point and toolkit for standardized data analysis
and synthesis of research findings, in a way that maximizes use of new and existing data sources. Core C will
also work closely with the Leadership and Administration Core (Core A) on large-scale dissemination activities
and with the Biomarkers and Biobanking Core (Core D) on harmonization and standardization of biomarker
data incorporation into analytical datasets for wide public use. The aims for Core C are:
 AIM 1: Develop and adapt a comprehensive set of instruments and protocols for valid, reliable, and
 comparable measurement of functional health status, morbidity, risk factor exposures, and economic and
 social covariates of health.
 AIM 2: Develop summary measures, derive variables for analytic datasets, harmonize standardized
 variables across HRS and sister studies, and support applications of analytical strategies that will be
 coordinated and shared across projects and cores.
 AIM 3: Fully document HAALSI datasets for public use and harmonize HAALSI data collection throughout
 waves and across HRS sister studies.

## Key facts

- **NIH application ID:** 9950985
- **Project number:** 5P01AG041710-07
- **Recipient organization:** HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH
- **Principal Investigator:** Livia Montana
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $277,905
- **Award type:** 5
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9950985

## Citation

> US National Institutes of Health, RePORTER application 9950985, Core C: Data Management and Analysis Core (5P01AG041710-07). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/9950985. Licensed CC0.

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