Available Until 12/31/2024

Answering the Hard Questions: Prepare to Succeed in Developing Data Services (Recording)

If you are looking to develop or expand your data services, you’ll face some hard questions:

  • How can you use your current service model to identify achievable and flexible goals?
  • What are the unique considerations in building library data services in a university or hospital setting?
  • How can you develop service and funding partnerships with limited time and budgets?

In this webinar, you’ll learn how to answer these questions and set a path for success using a model based on SMART principles, which emphasizes general best practices for capacity-building through initiatives and partnerships and avoids one-size-fits-all solutions.

You’ll learn how to do outcome-oriented planning with limited resources, build networks of partners and advocates, and use continual evaluation to dynamically adjust as your resources and needs shift.

You’ll get access to a website with supplemental materials, including slides outlining the presentation and example templates for needs assessment interviews, and planning and evaluation exercises.

This is a required core course or an elective for Level II of the Data Services Specialization. (See the DSS course list for more information.)

Audience

Medical librarians and other health services professionals who are interested in developing or expanding their library data services.

Learning Outcomes

By the end of the webinar, you will be able to:

  • Use the SMART model to build achievable and flexible data services goals with continual evaluation
  • Use outcome-oriented service planning models to identify data service needs and prioritize investment in resources, services, and skill development
  • Identify stakeholders and potential partners to fund, support, and promote data services and strategies for relationship-building

Presenters

Nathaniel Porter photoNathaniel Porter is the Data Education Coordinator and Social Science Data Consultant at the Virginia Tech University Libraries. He provides consultative support for quantitative, qualitative and big data research and teaching with data throughout the university. He organizes and teaches workshops on a variety of methods, data types, and software tools. He is certified Instructor Trainer for the Carpentries and the author or co-author of a number of data-related publications and presentations.

 

C. Cozette Comer photoC. Cozette Comer is the Evidence Synthesis Services Coordinator in the Research Collaboration and Engagement group at the University Libraries at Virginia Tech. She supports researchers and learners with systematic reviews, meta analyses, and evidence synthesis methodologies. She also explores means for increasing evidence synthesis efficiency through text and data mining and citizen science.

 

Registration Information

Length: 1.5 hour recorded webinar

Technical information: After you have registered, go to My Learning in MEDLIB-ED to access the live webinar, resources, evaluation, and certificate.

Register, participate, and earn 1.5 MLA continuing education (CE) contact hours

MLA CE hours: 1.5

Site License Information

To offer this webinar to a group, consider a site license: