Joel Herndon leads the Data and Visualization Services Department in Duke University Libraries which provides consultations, training, and project support to a variety of data and digital scholarship communities. Joel’s recent work focuses on how universities and research libraries are responding to a growing demand for data science services and training.
PhD in Political Science, 2001
Mon, Oct 8, 2018, Southeast Data Librarians Symposium 2018
Wed, May 30, 2018, IASSIST 2018 Annual Conference
Thu, Jul 27, 2017, TRLN Annual Conference
Wed, May 24, 2017, IASSIST 2017 Annual Conference
The Data Curation Network project brings together the perspectives of research data librarians, academic library administration, and data curation subject experts from seven major academic institutions and the Dyrad Digital Repository to build a shared data curation service model that expands the capacity and expertise in data curation across the network.
The Digital Durham archive project began in 1999. Since then, the project has seen continual use from academic, community and K-12 educators and students. This Bass Connections project will update and enhance the Digital Durham infrastructure and content.
The past few years have seen an increased demand for academic library staff to provide faculty and students with data management and curation services. Washington University in St. Louis, in partnership with the University of Minnesota, the University of Michigan, Cornell University, Duke University, and Johns Hopkins University, members of the Data Curation Network, will develop and implement an intermediate to advanced data management and curation training program for library staff. The program will address the need for discipline-focused library staff to gain confidence in research data services, as well as the need for research data, repository, and archival staff to enhance their discipline-specific knowledge.
As part of the Data and Visualization Workshop Series, I often offer workshops on a variety of data related topics such as the R analytics language, data management, and digital mapping tools. Recent examples include: