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Brandt paper21

Paper: "Learning Hands-on and by Trial & Error with Data Curation Profiles', D. Scott Brandt, Purdue University Libraries, West Lafayette, IN US

Abstract— The Data Curation Profiles Toolkit can be used in several ways to capture requirements for data sets, as articulated by researchers. As a flexible instrument it can facilitate dialog  between librarians and researchers to discuss data concerns, current data workflow, and possible outcomes for the future. As a structured tool it can help identify areas of concern and need, to begin to making informed decisions about the data. Published Profiles offer insight into similarities and variations in data and data workflow, across multiple research areas or sub-disciplines. Designed as a tool for practitioners, it can help build knowledge and skill through application. Librarians who have completed Profiles have found the process to improve their comfort, increase their confidence, and build competencies in working with researchers. Mapping use of the Profiles Toolkit to the DigCurV Curriculum Framework can help identify strengths and weaknesses in what is currently a hands-on, trial and error selflearning approach.

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