1. Data Curation and Data Analytics for Advancing Science and Scholarship GSLIS Research Showcase 9 April 2011 Carole Palmer & Cathy Blake Center for Informatics Research in Science & Scholarship

2. Data Conservancy Data Curation in the Humanities Data levels Identity and change in digital objects Needs analysis of professional skills Appraisal of “career” data collections Barriers to using preservation metadata Sample related projects Data Practices Disciplinary differences, focus on small science Supporting sharing and reuse across fields Informing infrastructure and policy Data Concepts No shared understanding of basic concepts Need for common nomenclature Developing a formal logic-based framework

3. Socio-technical Data Analytics (SoDA)

4. Going forward in research... tighter association between two areas - data curation informs data analytics - results of data analytics informs collection and curation of data. Education programs... extend specializations beyond data curation masters and PhD to begin programs in socio-technical data analytics Synergy between curation and analytics