ÐÇ¿Õ´«Ã½ recently contributed to a cross-institutional study that examined the research practices of faculty and research staff in a variety of humanities, social science and STEM fields who use data science or "big data" methodologies. The resulting study, was included in the Ithaka S+R report, published in December. The Ithaka S+R report takes a close look at how big data research is pursued in academic contexts and focuses on identifying typical methodologies, workflows, outputs and challenges big data researchers face.
The ÐÇ¿Õ´«Ã½ study contributed to the wider fields of library and information studies and data science. The goal was to understand researchers’ processes in working with big data and "to inform conversations and planning on how to better support big data research at ÐÇ¿Õ´«Ã½," according to Jen Green, team leader at Freedman Center for Digital Scholarship at Kelvin Smith Library. Green, along with Ben Gorham, research data and GIS specialist at Freedman Center for Digital Scholarship, were primary investigators for the research phase and the primary authors of ÐÇ¿Õ´«Ã½â€™s study.
Green and Gorham led the ÐÇ¿Õ´«Ã½ team in collaboration with Roger Zender, associate director of creation and curation services at Kelvin Smith Library, and Lee Zickel and Emily Dragowsky from University Technology’s Research Computing and Cyberinfrastructure team.