Does your library have public-facing guidelines to set patron expectations for non-curation data services? If the answer is “no” or “I’m not sure”, you’re not alone! This interactive webinar will build off a discussion on the IASSIST listserv about public-facing documentation that lays out specific data support services offered and sets patron expectations of data services. To set the stage, Vicky Rampin (NYU) will discuss the process around creating the NYU data services service guidelines, and Stephanie Labou (UC San Diego) will talk about how similar guidelines were adapted and implemented at the UC San Diego Library. Most of the webinar will be dedicated to sharing use cases and issues attendees would like boundaries around, as well as hands-on time to collaboratively draft guidelines and policies, or critically review local policies. Bring your guidelines if they exist, or pain points that you’d like to address in guidelines!
About our speakers:
Vicky Rampin is the Librarian for Research Data Management and Reproducibility and the subject specialist for data science and computer science at New York University. Vicky supports researchers of all levels and disciplines in creating well-managed, reproducible scholarship through instruction, consultations, outreach, and infrastructure building.
Stephanie Labou is the Data Science Librarian at the University of California San Diego Library. She provides user assistance with datasets and data analysis through general reference, in-person consultations, and collection development of licensed and open access data. Stephanie also co-manages the library’s Data & GIS Lab, provides instruction and short-form workshops on coding skills and best practices, and acts as the library liaison for the data science major and the Halıcıoğlu Data Science Institute.
Негізгі бет Getting Started with Data Services Guidelines
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