With the growing quantities and variety of data, it is getting progressively harder to determine whether and where given data are available. DataLad aids data discovery through a built-in, extensible system for automated metadata extraction and homogenization.
Being a tool for decentralized data management, DataLad does not require a central service to perform metadata queries. Instead, any DataLad installation provides all the necessary functionality to automatically index and search any data it was made aware of — whether it's one's personal data, the data of an entire lab, all the data of an institution, or a complete public data portal.
The following demo shows how one can quickly find desired datasets, install them, and selectively obtain necessary files across multiple datasets.