Theme - Data intelligence in libraries: the actual and artificial perspectives
Date: 22-23 August 2019
Venue - German National Library - Deutsche Nationalbibliothek (DNB), Frankfurt, Germany
Library professionals need to continuously develop
their data skills to enable themselves to be smarter
in the use, wrangling, visualization and application of data.
Likewise, from an artificial
perspective, machine agents are dependent on good quality data to be
capable to infer and learn from it through a process of knowledge
engineering. Libraries should leverage opportunities to
implement interventions that could facilitate optimal access to
reputable scientific data, thereby fostering the knowledge process by
making data findable and available to information agents.
Proposals for papers on topics including but not limited to the following:
- Collection and analysis of library operations data (facilities usage, IoT devices, building sensors)
- Programs which provide access to big data in science projects or government databases
- Projects that mine the long tail of scholarly data
- Collections as data projects, such as curated heritage and special collections
- Data literacy programs and/or data science training initiatives
- The professional issues around data science and data librarianship
- Infrastructure, frameworks, and applications on which data gathering, cleaning, analysis and visualization can be done
Abstracts are requested in MS-Word or PDF format by 15 April 2019 to Cory Lampert cory.lampert@unlv.edu and
Wouter Klapwijk wklap@sun.ac.za.
All submissions will be reviewed by the Program Committee and
submitters will be notified by 3 May 2019. Full papers of accepted
abstracts must be submitted no later than July 15, 2019.
For the full call for papers visit: https://2019.ifla.org/cfp-calls/big-data-sig.
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