ScienceDesk as a central data hub.
ScienceDesk abstracts data formats and brings all the raw data to the same level in the database so that queries for information are not stopped at the file-name level but access the data inside the files.
The abstraction procedure identifies quantities and breaks down files in vectors which we call data fields. Data fields represent real quantities that are described by a name, unit and numerical values, for example: Temperature (Kelvin). ScienceDesk then prompts a homogenized and consolidated data pool for automatized extraction of metadata. This metadata is used by query and analytics tools to unravel extra information and give researchers a new perspective on their dataset. Among many possible automatic analyses (please see: Custom Analytics Development) ScienceDesk tags mathematical patterns in the raw data to identify the shape of curves so that similar measurements can be identified within the user dataset.