Data Management/Curation Task Force Mini Report ( 1 Oct. 2013) T he t ext below is on the current data work by the Libraries for use in more informal information sharing. T he three paragraphs cover : Overview of the Data Management/Curation Task Force and activities to date Research Data Assessment Survey Big Data, Little Data workshop this Thursday The UF Libraries and Data: Update s The Data Management/Curation Task Force ( http://cms.uflib.ufl.edu/datamgmt/ ) includes representatives from the UF Libraries, Office of Research, and Research Computing, and works in col support for the role of the Libraries in campus wide data management and curation. The group has conducted focus groups and interviews on data needs as well as trainings and workshops on data. Trainings and workshops include those on the Data Management Plan Tool (DMPTool) for writing data citation needs and speci fically for graduate students for permanent storage of their thesis/dissertation supplementary data in the IR@UF (supplementary data support is new, which did not previ ously have support on campus). The Task Force has released a survey to assess Research Data Needs. The survey is collecting data on how graduate, faculty, and all UF researchers collect, store, protect, analyze, and share research data. The survey results will show needs on campus and inform new supports and services for data management and analysis of research data. The survey is open until Oct. 18: https://ufl.qualtrics.com/SE/ ?SID=SV_b3mFwxI6pd3HiuhResults the Smathers Library, 1A from 12:30 5pm ( http://cms.uflib.ufl.edu/news/index.aspx#20130923 ). This research data and data management workshop will share information on data management resources at UF, including support for finding data, metadata, storage, creating data management plans with the visualization, GIS, and much more. The workshop is in a format designed to cover the most information possible while facilitating conversat ions among experts and attendees to build the connections and community needed for research with Big Data.