Data resources
The Layton Aging and Alzheimer's Disease Research Center manages large volumes of clinical, biomarker, digital biomarker, imaging and associated research data. Data is securely stored and distributed.
Guide to accessing and using data
How to use Layton Center data for an upcoming project:
- Request data using the online form.
- If necessary, consult with our team after submitting a request.
- Acknowledge grant funding and support in your publication, as well as any data you used.
- Notify our team about any articles that have been accepted for publication.
Requesting data and accessing data sets
Request data
To request data from the Layton Center, please complete the online form.
Types of data you can request
Within these categories you will find a list of data measures and data dictionaries.
Types of data:
- Audio and video recording of semi-structured conversations
- Audio data of cognitive testing sessions
- Manually transcribed data for the audio recording
- Transcribed data using ASR
View samples of recorded conversations (video and audio) at the I-CONECT website. Go to the site
Types of biospecimens:
- CSF
- DNA
- Plasma
- Saliva
- Serum
- Urine
Types of biospecimen data:
- Genetic data
Types of data:
- NACC UDS and Non-NACC demographic data
- Online weekly health data
- Online reported data
- Data about sleeping patterns
- Data about loneliness
- Data about social isolation
- Data about physical activities
- Comorbidities measures
- Other cognition measurements
- Physical and neurological exam findings
- Neurocognitive test scores
- Demographics
- Health status
- Clinical diagnosis
- Personal and family history
- Positive/negative family history of dementia
- Age at service evaluations
- Age at onset, age at death
- Medications
- Laboratory tests
- MRI volumetrics
- Genotypes (APOE, HLA, SNP genotyping)
- Neuropathology diagnosis and tissue inventory information (when available)
Types of data:
- Computer use data
- Driving data
- Bed mat Data
- Computer mouse movement data
- PIR home motion sensor data
- Electronic pillbox usage data
- Scale data
- Watch data: Processed (aggregate daily steps and sleep metrics)
- Watch data: Raw
To view examples of digital biomarker data and to learn how it's collected, please visit the ORCATECH website.
Types of data:
- DICOM data
- Volumetric data
Types of data:
- MMSE
- MoCA
- MoCA Blind
- Picture Completion
- Block Design
- Benson Figure Copy
- Benson Complex Figure Recall
- Digit Span Forward-NACC
- Digit Span Backward-NACC
- Digit Symbol
- Digit Sequencing Test
- Number Span Forward trials
- Number Span Forward length
- Number Span Backward trials
- Number Span Backwards length
- Boston Naming Test (30)-NACC
- MINT
- Visual Reproduction I
- Visual Reproduction II
- Logical Memory Immediate
- Logical Memory Delayed
- Craft Story paraphrase Immediate
- Craft Story paraphrase Delayed
- CERAD Word List Acquisition
- CERAD Word List Recall
- CERAD Word List Recognition
- Trailmaking Test Part A - seconds
- Trailmaking Test Part B - seconds
- Stroop Color Word
- Letter CFL Fluency
- Animal Fluency
- Vegetable Fluency
Available data from research studies
To request data from one of these studies, please refer to the study while filling out the data request form.
African American Dementia and Aging Project (AADAPt)
Types of data available upon request:
- Audio/Visual recordings
- UDS clinical battery
- Clinical data
- UDS neuropsychological battery
Types of data available upon request:
- Digital biomarker sensor data
- Clinical data
- Neuropsychological data
- Online Health Update form
Types of data available upon request:
- Audio and video recording of semi-structured conversations
- Audio recording of neuropsychological test sessions
- NACC UDS V3 cognitive test and diagnoses
- Weekly survey on types and frequency of social engagement
- Weekly survey on adverse events
- Personality, depressive symptoms, comorbidities, IADL (baseline and other time points)
Digital Technology Core (also known as ORCATECH Life Lab)
Types of data available upon request:
- Digital biomarker sensor data
- Clinical data
- Neuropsychological data
- Online Health Update Form data
- Online survey data
Types of data available upon request:
- Clinical assessments
- Subject health history
- Blood-based biomarkers
- MRI
- APOE
- MMSE
- Moca
- UDS C2 Neuropsychological battery
- WAIS-IV Digit Symbol test
- Timed Gait test
- ECG
- Medication use, dispensing, and compliance
Types of data available upon request:
- Digital biomarker sensor data
- Clinical data
- Neuropsychological data
- Online Health Update form
Types of data available upon request:
- Imaging data
- Tissues scans
- Slice-Hemispheric registration
- Physical cassettes
- Pathology catalog
- IHC-T2 registration
- CZI files
- PNG files
Types of data available upon request:
- Audio/Visual recordings
- Digital biomarker sensor data
- Clinical data
- Neuropsychological data
- Online Health Update Form data
- Online survey data
Types of data available upon request:
- Audio/Visual recordings
- Clinical data
- Neuropsychological data
- Online Health Update Form data
- Online survey data
What to do after submitting a data request
Repository agreement
Researchers are asked to sign a repository agreement that is tailored to the specifics of their data request.
This agreement identifies the grants that you should include in the acknowledgements section of your publication.
You will be sent a repository agreement after you submit a data request.
Why acknowledgement is important
Many researchers, together with their staff and financial supporters, helped create these datasets and data dictionaries.
By acknowledging their past work in your publication you are:
- Recognizing their efforts
- Ensuring they get funding for future research
- Helping research teams continue to share data
Notify us about your publication
Once your publication has been accepted for publication:
- Please provide ORCATECH with a final copy of your manuscript
- Please upload the final copy to PubMed Central, in accordance with NIH public access policy
How to notify our team
Send a message to Joan Benedict
benedicj@ohsu.edu