FAIR Data Principles

MC2DP provides secure access to study metadata from multiple external resources and will be the driving engine for new discovery. The types of data represented are varied and include scientific research across multiple disciplines.

MC2DP aims to make data more accessible by following the "FAIR" principles:

Findable: Researchers are provided an intuitive interface to search over metadata for all studies and related datasets. Each study and dataset will be assigned a unique, persistent identifier.

Accessible: Authenticated users can request and receive access to controlled-access data by data providers. Metadata can be accessed via an open API.

Interoperable: Data can be easily exported to various workspaces for analysis using a variety of software tools.

Reusable: Data can be easily reused to facilitate reproducibility of results, development and sharing of new tools, and collaboration between investigators.