NYU Langone’s Alzheimer’s Disease Research Center has collected a variety of data over time and has made it available to researchers within the NYU Langone community and also to the outside researchers. The data include interviews, clinical evaluations, cognitive assessments, laboratory testing, neuropathologic evaluation, neuroimaging, and medical devices.

The variables documented in our data dictionary have been carefully created and reviewed by the faculty and staff of the Alzheimer’s Disease Research Center and are updated as the data collection protocol changes. The data dictionary is divided into the following four parts:

• Clinical Data Dictionary: This data dictionary provides information about the variables in NYU Langone’s clinical database and includes variables from both the minimum data set (MDS) and the uniform data set (UDS).
• Neuroimaging Data Dictionary: This data dictionary provides the variable information related to volumetric data collected by the Neuroimaging Core.
• Psychosocial Data Dictionary: This data dictionary provides variable level information related to the psychosocial data collected by the Psychosocial Core. It also includes variables from various social determinants of health (SoDH) measures.
• Neuropathology Data Dictionary: This data dictionary provides information about the variables in the Alzheimer’s Disease Research Center’s neuropathology database and includes data from all of the National Alzheimer’s Coordinating Center (NACC) neuropathology forms.

Explore Our Data

A major function of the Alzheimer’s Disease Research Center is to provide research resources to investigators at NYU Langone Health, at affiliated or collaborating institutions, and to the global research community. The Alzheimer’s Disease Research Center is committed to resource sharing, and the center has designed a frequency reports generator in Tableau for researchers to explore our inventory of available data and biospecimen to understand the availability of data and determine how the available resources match the requirements of a project. The dashboard allows for extensive and expeditious sharing of all data and biological samples by linking it to the data requesting portal.