For purposes of discovery, the metadata supplied to libraries for e-book content must be complete, explicit and accurate. APIs have been constructed. Best practices have been identified. What are the gaps that still affect the user experience in identifying and navigating to needed content?
As libraries re-evaluate and redesign the services offered to their communities, the ripples of change can be felt across the institution. New job titles and functions appear in university employment postings—clinical information specialist, data scientist, assessment librarian.
This event will look at bias awareness and the difficulties of appropriately valuing diversity in a work environment. What are the implications for the library in terms of data collection, recruitment practices, and mentoring?
Recent years have introduced a variety of new technologies into the mainstream, such as artificial intelligence, data science, and virtual and augmented reality.
Super computing is used by scientists and engineers working on complex research problems. Such investigations may involve data-intensive applications that consume enormous amounts of bandwidth and computing power.
I hosted the NISO virtual conference Open Data Projects on June 13, 2018. Quite a variety of open data projects were discussed in the packed agenda. What follows is a summary of the first two presentations. If you are interested in open data projects, I encourage you to view the recording of the conference through Minitex My Library when it becomes available.
This virtual conference will focus on a variety of practical concerns surrounding digitization efforts and long-term preservation of images in the digital environment.
This session will address the use of quality metadata and unique identifiers in traditional information environments, but could also include discussion of one or more of the following:
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