New Report From Ithaka S+R: “Big Data Infrastructure at the Crossroads”
From Ithaka S+R:
As “big data” has moved from the margins to the center of a growing number of academic disciplines, how well are universities, funders, and publishers supporting researchers? To better understand how big data research is pursued in academic contexts, Ithaka S+R partnered with librarians at more than 20 colleges and universities, interviewing over 200 faculty members, to explore how researchers work with big data and identify the challenges they face. “Big Data Infrastructure at the Crossroads: Support Needs and Challenges for Universities,” published today, provides insights into the support needs of researchers working across a wide range of disciplines.
Given the importance of big data and the closely related issue of data sharing, the stakes involved in creating infrastructures capable of sustaining big data research are high. The findings from this project suggest that universities are meeting many current needs but also highlight systematic challenges that will need to be addressed as data-intensive research proliferates.
Big Data Infrastructure at the Crossroads” is part of a series of Ithaka S+R research projects exploring data intensive research communities and instructional practices with data. Early in 2022 we will publish a report on Teaching with Data in the Social Sciences based on the findings from another cohort-based project.
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About Gary Price
Gary Price (firstname.lastname@example.org) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.