LIBER is launching a new working group to explore and promote library engagement in applying data science and analytical methods in libraries, taking into account all kinds of processes and workflows around library collections and metadata as well as digital infrastructures and service areas.
Why is Data Science in Libraries needed?
Libraries are data-rich environments, and present vast opportunities for applying data science and analytical methods. These activities and initiatives are built at the overlap between data and information sciences as well as disciplinary domains which build research questions based on digital collections. Libraries are already investing in analytical capacity and skills, in particular related to analysing and annotating collections, enriching (meta)data, analysing scholarly communication and publication behaviour and related costs, providing infrastructure and support for text and data mining of library collections, developing training opportunities for librarians and students, etc.
Areas foreseen to be investigated by the new working group may include but are not limited to:
- Identify and analyse key initiatives and projects across Europe and beyond,
- Explore how data science methods and tools can be tailored to library-specific environments and requirements,
- Identify good practices as well as challenges and gaps,
- Evaluate methods and strategies for skills and capacity development.
The working group will further specify its focus and is expected to operate during a time frame of two years (extension possible).
How Can I Join?
We are looking for professionals working in LIBER libraries who have expertise in areas including data science and analytics, machine learning or text and data mining. Library staff already developing or enhancing service areas on their own and/or in partnerships are particularly welcome.
Interested? Please express your interest by contacting Dr Birgit Schmidt, Chair of the Research Infrastructure Steering Committee. The group will officially start its work in the first quarter of 2021.