Explore data available across the NDP network of TRE Hubs through a single discovery experience.
Search and compare datasets, explore available variables and identify complementary data assets that could help answer your research question — all before you begin the access process.
The NDP Data Discovery service brings together information about datasets available through participating TRE Hubs, allowing researchers to understand what data exists before beginning the access process.
The aim is to make complex neurological data easier to find and understand — helping you identify the datasets most relevant to your research question, and determine where to go next to request access.
Query the whole NDP network at once to identify relevant neurological datasets and data assets, wherever they are held.
Understand populations, data types, variables, time coverage and other key characteristics of each data asset.
Place data assets side by side to assess their similarities and differences before committing to an application.
See where variables overlap or complement one another, and determine which datasets could be used together.
Clinical, cohort, imaging, genomic and other specialist data types, where available across the network.
Clear information about the relevant TRE Hub, its governance and its application process for every dataset.
Visualise cohort data availability as a high-level density heatmap. Quickly find out what categories of data are available in each cohort.
Browse the complete hierarchical tree of variables across all cohorts. Search for specific variables and add entire categories to your cart directly.
Select two cohort datasets to automatically map, compare and visualise the similar overlapping variables they both collected.
Browse the complete list of available cohort datasets. View subject counts and check the availability of phenotypic, imaging, and genomics data.
Explore the relationships between variables and cohorts through an interactive graph. Discover which variables are related to each other.
Describe the concepts you are researching in natural language, and let local semantic AI find the most relevant variables across our entire database.
Data Discovery shows metadata only — descriptions of datasets, their populations and their variables. No underlying participant-level data is held or shared here.
Data remains managed through the relevant TRE Hub. Applications and access decisions are undertaken by that Hub through its appropriate governance processes.
We’ll direct you to the relevant TRE Hub, where you can find out more about the dataset and begin the appropriate data access process.
