The past few years have seen an explosion of digital data and/or digital objects from many disciplines not only within the academic world, but also in the home environment.
The question of how best to manage, discover, and preserve these digital objects is a concern for many. The University Libraries are available to assist you with your data needs, by offering workshops, best practices, guidelines, and one on one consultations regarding the data management life-cycle.
Observational: field notes, sample data, survey results, images
Experimental: gene sequences, chromatograms
Simulation: climate models, economic models
Derived/Compiled: data from public documents, 3D models
If you have additional questions about data management, sharing, and citation - check out DataQ: http://researchdataq.org/
