This presentation by Julie Goldman was part of a Two- Part NISO 2020 webinar entitled Building Data Science Skills: Strategic Support for the Work. Goldman offered this as the abstract of her talk:
This short talk will build on the concepts that were previously discussed during Part One: Labor and Capacity for Research Data Management. New opportunities for engagement in data-intensive research provoke qualitative changes to service and staffing models. In order for the academic library to provide high quality, campus-level support in data science with in-depth consultation services that require considerable time and expertise, the library must identify partners and foster skilled personnel. This presentation will provide tools and training examples, management challenges and opportunities for collaboration in supporting data science through the library and across institutions.
Click on the arrow above to watch the embedded video or click through here to view the recorded presentation on Youtube.
