Perspectives on Managing Knowledge in the Data-Centric Research Landscape
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Date
2017-08
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INFLIBNET Centre
Abstract
The current scenario of migrating from data deficit to data deluge situation is forcing us to give a
thought to bring meaning to the mess by effectively managing the data tsunami. In the Knowledge
society, the competitive advantage is gained through understanding the information and predicting
the evolution of facts based on data. Digital transactions whether social, economic or in relation to
government create data which can, in principle, be used for research and innovation. The present
paper touches upon various perspectives of knowledge management in the data centric research
landscape. While reflecting on the behavioural aspects of the authors, the paper delineates how the
researcher’s environment of working with their own silos with their own small data sets is marking a
paradigm shift in approach to collaborate as a community for sharing, accessing data for re-purposing
to generate new knowledge. The data generation out of the research activities particularly
scientific discoveries is colossal and very significant for brining innovations in research. For this,
the author remarks that the key issues are to decipher mechanisms for construing, analysing and
extracting meaningful information from this colossal data and manage this ever growing universe of
knowledge to provide a robust resource support system for research and innovation, and thereby
avoiding duplication of efforts. The paper while highlighting the core challenges, elicits issues that
can help in managing data searching, discoverability and usability. To this effect, a number of
initiatives that are going on world over to promote effective data documentation and sharing to
enable reuse have been educed. Emphasis has been laid on making space for innovation, rather
than enforcing rules for innovation by following the new norms for creating discipline in three
domains- learning, capturing and reflecting on the technology frontier. The paper illustrates several
perspectives w.r.t. Library’s role in Big Data and generating knowledge assets for which capacity
enhancement becomes naturally imperative. To this effect, attention has been drawn to various
aspects on what Librarians need to know about Big Data and play a part in the ecosystem.
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Keywords
Knowledge Management, Big Data, Academic Libraries