This sponsored MLA course is open to Region 2 members only. [Alabama, Florida, Georgia, Mississippi, South Carolina, Tennessee, the Commonwealth of Puerto Rico, and the U.S. Virgin Islands.]
While the live event has passed, you can still watch the recording and claim CE credit by registering. This event is open to Region 2 until all spots have been claimed. Register today!
Date of Live Event: September 21, 2022, 1:00 p.m.–2:30 p.m., central time. Recordings available soon after.
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 webinar is approved for the “under construction” Level II of the Data Services Specialization. A Level I Data Services Specialization Certification is currently available.
Medical librarians and other health services professionals who are interested in developing or expanding their library data services.
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