You are hereDLI Blog / CLIR recommendations for library support of big data research in DH and Soc Sci
CLIR recommendations for library support of big data research in DH and Soc Sci
Alain alerted me to this new report from CLIR which he in turn learned from a post by Bob Kosovsky of NYPL to the ACRLdigitalhumantiesdg listserv. The report results from "interviews and site visits with scholars engaged in international research collaborations involving computational analysis of large data corpora. These scholars were the first recipients of grants through the Digging into Data program.... The report introduces the eight projects and discusses the importance of these cases as models for the future of research in the academy."
- Recruit and develop staff prepared to engage as active partners in computationally intensive research initiatives, particularly by offering expertise in data management, data analysis, or the management of collaborative projects.
- Recruit and develop staff capable of contributing to the peer review of new forms of online scholarship.
- Offer consultation services to researchers that help them manage, maintain, and, if warranted, transfer responsibility for valuable research data to library repositories.
- Offer consultation services to researchers that help them identify appropriate publication venues for non-traditional forms of scholarship.
- Encourage cross-disciplinary engagement among researchers and students at your library, such as through public programs or workshops related to data-intensive research tools.
- Establish partnerships with other institutions to promote the longterm preservation of and access to scholarly publications and the digital data upon which they rely.
Williford, Christa, and Charles Henry. One Culture. Computationally Intensive Research in the Humanities and Social Sciences. A Report on the Experiences of First Respondents to the Digging Into Data Challenge. Council on Library and Information Resources, June 2012. http://www.clir.org/pubs/reports/pub151.