Principle investigators Keith Kintigh and K. Selçuk Candan recently secured a NSF Information Integration and Informatics small project grant for their proposal, “One Size Does Not Fit All: Empowering the User with User-Driven Integration.” Responding to the inefficiency of current schemes, which sacrifice possible data uses in order to produce early integration, User-Driven Integration (UDI) is an approach that takes advantage of expert opinions from the users of integrated data. Scientists and decision-makers have different needs and expectations from data integration operations, and their input will improve data management in complex systems.
UDI also benefits students: undergraduate Honors capstone projects and graduate computer science courses will be formed to test and improve the approach. tDAR data structure is in line with the UDI approach, which values user feedback over structured data, integrating dynamic and variable data sets which may mesh in a variety of ways.