1. Challenges in the Research Data Ecosystem Implications for DDI Chuck Humphrey University of Alberta October 2012

2. Our design paradox

3. IPY Projects

4. Data infrastructure Paul Edwards, Steven Jackson, Geoffrey Bowker, and Cory Knobel. Understanding Infrastructure: Dynamics, Tensions, and Design (January 2007)

5. Long tail of data Measured in Petabytes Numbers of Datasets in 100k

6. Long tail of data

7. Data Ecosystem

8. Data ecosystem Enabling reuse = Impact Data integration Data exchange Coping with variety is a very broad yet characterizing aspect of interoperability. [Pasquale Pagano]

9. Context for remarks International Polar Year (IPY), 2007-2012 DataONE (NSF DataNet) 2010- OECD Global Science Forum on Data and Research Infrastructure for the Social Sciences, (OECD GSF) 2010-2012 Global Research Data Infrastructure 2020 (GRDI2020) 2010-2012 Data Web Forum (DWF) 2012-2012 Data Access and Interoperability Task Force (DAITF) 2012-2012 Research Data Alliance 2012-

10. Readings Edwards, Paul, Steven Jackson, Geoffrey Bowker, and Cory Knobel. Understanding Infrastructure: Dynamics, Tensions, and Design (January 2007) GRDI2020 Final Roadmap Report. Global Research Data Infrastructures: The Big Data Challenges. http://tinyurl.com/8lcehcy Pagano, Pasquale. Data Interoperability. http://tinyurl.com/8brx7xw Parsons, Mark, et.al., “A Conceptual Framework for Managing Very Diverse Data for Complex, Interdisciplinary Science,” Journal of Information Science (2011, pp. 555-569)