New From NISO: Slides From Yesterday’s Research Data Curation Webinar Now Available Online
Slides from NISO (National Information Standards Organization) Webinar:”Research Data Curation Part 2: E-Science Librarianship” are now available and embedded below.
Presenters will discuss the role of the library in the academic research enterprise and provide an overview of new librarian strategies, tools, and technologies developed to support the lifecycle of scholarly production and data curation. Specific challenges that face research libraries will be described and potential responses will be explored, along with a discussion of the types of skills and services that will be required for librarians to effectively curate research output.
We’ve also embedded slides from Part 1 of the webinar series that took place on September 11th.
You can access presentation abstracts, speaker bios, and a transcript of the Q&A portion of the webinars by selecting the links below.
Slides from “Research Data Curation Part 2: Research Data Curation: Libraries and Big Data
- Lisa Johnston Research Services Librarian, Co-Director of the University Digital Conservancy, University of Minnesota Libraries
- Sayeed Choudhury Associate Dean for Research Data Management, Sheridan Libraries of Johns Hopkins University
- Carly Strasser Data Curation Project Manager, UC Curation Center (UC3), California Digital Library
Slides from “Research Data Curation Part 1: E-Science Librarianship”
About Gary Price
Gary Price (email@example.com) 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.