About the Webinar
This webinar will focus on the on-going need for information professionals to be well-versed in data science skills in order to successfully support the work of the students, scholars, and other professionals you serve. While you may be quite familiar with the research data lifecycle, what additional tools or support do you need in order to extract, wrangle, analyze, and present data for, from, and about your organization? What management challenges does your organization face in ensuring that staff are sufficiently prepared and supported? What skills should be looked for when hiring? How and why should data science education be implemented? What policies or practices have organizations found useful? These questions and more will be answered by our panel of experts from across the information community.
Confirmed speakers include
- Stephanie Labou, Data Science Librarian, University of California, San Diego.
- Courtney Butler, Data Science Librarian, Federal Reserve Bank -Kansas City
- Julie Goldman, Countway Research Data Services Librarian, Harvard
- Ron Daniel, Director, Elsevier Labs, Elsevier
Data Science and the Library at UC San Diego
As data science becomes a hot topic in academia across disciplines, university libraries may find themselves in a position to extend their data services support to aspects of data science. This talk will focus on two facets of this broader issue: (1) what skills are needed in order to fill a support role for patrons, and how might this vary based on support needs and (2) what might it look like in practice, and what skills are needed, when the library begins to use data science methodologies for its own internal processes.
Building Data Science Skills: Enhancing Core Capabilities and Understanding Unique Value
This presentation will focus on ways to develop data science skills by building upon core capabilities such as reference and data management and by understanding the unique value that librarians bring to these types of partnerships. The emphasis will be less on technical skills and more on how to attain the conceptual knowledge necessary to support the data-driven work of our patrons. It will include several illustrative examples within topics such as data licensing and reproducibility and will discuss various resources and strategies for strengthening services.
Collaboratively Build Data Science Services and Skills
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.
Building Data Science and Data Engineering Skills
Data Science has been the subject of many articles where it is pitched as the silver bullet dream career of the future. But what about people who have to actually build and run a data science team and deliver results? Where is their silver bullet? Unfortunately, no such silver bullet exists. Too many factors affect how data science skills are needed for such a simple solution. This talk reviews a number of those factors and concludes that there is no substitute for good management and concentrating on the needs of the customer.
NOTE: NISO members automatically receive sign-on credentials for this event as a member benefit. There is no need to register separately. Check your institutional membership status here.
Cancellations made by March 11, 2020 will receive a refund, less a $35 cancellation. After that date, there are no refunds.
Registrants will receive detailed instructions about accessing the webinar via e-mail the Friday prior to the event. (Anyone registering between Monday and the close of registration will receive the message shortly after the registration is received, within normal business hours.) Due to the widespread use of spam blockers, filters, out of office messages, etc., it is your responsibility to contact the NISO office if you do not receive login instructions before the start of the webinar.
If you have not received your Login Instruction e-mail by 10 a.m. (ET) on the day before the webinar, please contact the NISO office at firstname.lastname@example.org for immediate assistance.
Registration is per site (access for one computer) and includes access to the online recorded archive of the webinar. You may have as many people as you like from the registrant's organization view the webinar from that one connection. If you need additional connections, you will need to enter a separate registration for each connection needed.
If you are registering someone else from your organization, either use that person's e-mail address when registering or contact email@example.com to provide alternate contact information.
Speaker presentation slides and Q&A will be posted to this event webpage following the live broadcast.
Registrants will receive an e-mail message containing access information to the archived recording within 48 hours after the event. This recording access is only to be used by the registrant's organization.
For Online Events
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