September 28-29, 2016
Cyberinfrastructure Building, Wrubel Lobby, Indiana University
What is data quality and what does it mean in the age of big data? Throughout the history of modern scholarship, the exchange of scholarly data was undertaken through personal interactions among scholars or through highly curated data archives, such as ICPSR (Inter-University Consortium for Political and Social Research). In both cases, implicit or explicit provenance mechanisms gave a relatively high degree of insurance of the quality of the data. However, the ubiquity of the web and mobile digital culture has produced disruptive new forms of data such as those based on citizen science, social network transactions, or massively deployed automatic sensors. Integrity and trustworthiness of these data are uncertain due to issues such as sampling characteristics, expertise of the data producers, or quality of the instruments. As these data are shared, fused, homogenized, and mixed, we need to ask ourselves what we know about the data and what we can trust. Failure to answer these questions endangers the integrity of the science produced from these data.
For more information, go to http://d2i.indiana.edu/mbdh.
There is no cost to attend but space is limited to 50 attendees. Registration will be available from August 5, 2016 until September 19, 2016. Early career scientists and researchers will be selected to predominantly fill available seats.
Travel support—automobile and lodging—for non-IU participants who are working in industry, government, or non-profit sectors is available. Qualified individuals are expected to present their work in a poster session Sept. 28, 2016 to showcase the breadth of developments occurring in Big Data. To be considered, please register by September 9, 2016 and apply for travel support. Application details are available at http://d2i.indiana.edu/mbdh/#scholarships.
Questions about the data quality workshop should be sent to Jill Minor, email@example.com.