Library data visualisation transformations: global patterns for research evaluation metrics in China

The new information environment in higher education libraries is shaped by an ever changing scholarly communication infrastructure and evolving cycles of research production, communication and evaluation. New services have emerged for research data analytics, based around strategic research intellig...

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Main Authors: Wu, Cocoa, Kennedy, Aaron, Qiu, Lulu, Smyth, Neil
Format: Conference or Workshop Item
Language:English
Published: 2019
Subjects:
Online Access:https://eprints.nottingham.ac.uk/56031/
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author Wu, Cocoa
Kennedy, Aaron
Qiu, Lulu
Smyth, Neil
author_facet Wu, Cocoa
Kennedy, Aaron
Qiu, Lulu
Smyth, Neil
author_sort Wu, Cocoa
building Nottingham Research Data Repository
collection Online Access
description The new information environment in higher education libraries is shaped by an ever changing scholarly communication infrastructure and evolving cycles of research production, communication and evaluation. New services have emerged for research data analytics, based around strategic research intelligence. This paper focuses on library data visualisation transformations for research evaluation metrics in physical library spaces using physical hardware technologies and software, notably, in this study, CiteSpace and Google Fusion Table. This paper focuses on research evaluation metrics and the evolution of a data analytics service in China. Data-driven research intelligence is an emerging need for universities, including reporting to funding organisations. Deeper understandings of collaborative authorship and citation clusters can provide a comparative edge for strategy development. Leading universities need research data to analyse the performance at multiple levels. This paper focuses on data visualisation in the physical library using wall and table technologies. It showcases how library atrium spaces are transformed through the data visualisation of bibliometric data, where the data can be presented in ways that are beautiful, boring and functional. The paper will demonstrate how library spaces create opportunities for interaction, where researchers can experience data or interact and manipulate data to create new meaning, narratives and stories. The paper presentation will include video examples of data visualisation and the visualisation of data in physical library spaces, projecting a future for data visualisation in new library buildings on university campuses.
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institution University of Nottingham Malaysia Campus
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spelling nottingham-560312019-04-12T08:41:51Z https://eprints.nottingham.ac.uk/56031/ Library data visualisation transformations: global patterns for research evaluation metrics in China Wu, Cocoa Kennedy, Aaron Qiu, Lulu Smyth, Neil The new information environment in higher education libraries is shaped by an ever changing scholarly communication infrastructure and evolving cycles of research production, communication and evaluation. New services have emerged for research data analytics, based around strategic research intelligence. This paper focuses on library data visualisation transformations for research evaluation metrics in physical library spaces using physical hardware technologies and software, notably, in this study, CiteSpace and Google Fusion Table. This paper focuses on research evaluation metrics and the evolution of a data analytics service in China. Data-driven research intelligence is an emerging need for universities, including reporting to funding organisations. Deeper understandings of collaborative authorship and citation clusters can provide a comparative edge for strategy development. Leading universities need research data to analyse the performance at multiple levels. This paper focuses on data visualisation in the physical library using wall and table technologies. It showcases how library atrium spaces are transformed through the data visualisation of bibliometric data, where the data can be presented in ways that are beautiful, boring and functional. The paper will demonstrate how library spaces create opportunities for interaction, where researchers can experience data or interact and manipulate data to create new meaning, narratives and stories. The paper presentation will include video examples of data visualisation and the visualisation of data in physical library spaces, projecting a future for data visualisation in new library buildings on university campuses. 2019-01-19 Conference or Workshop Item PeerReviewed application/pdf en cc_by https://eprints.nottingham.ac.uk/56031/1/Library%20Data%20Visualisation%20Transformations%20global%20patterns%20for%20research.pdf Wu, Cocoa, Kennedy, Aaron, Qiu, Lulu and Smyth, Neil (2019) Library data visualisation transformations: global patterns for research evaluation metrics in China. In: International Conference on Library and Information Science (LIS 2019), 19-21 January 2019, Sapporo, Japan. Data Visualisation; Citation Analysis; Strategic Intelligence; Research Evaluation Metrics Data; Physical Library Spaces.
spellingShingle Data Visualisation; Citation Analysis; Strategic Intelligence; Research Evaluation Metrics Data; Physical Library Spaces.
Wu, Cocoa
Kennedy, Aaron
Qiu, Lulu
Smyth, Neil
Library data visualisation transformations: global patterns for research evaluation metrics in China
title Library data visualisation transformations: global patterns for research evaluation metrics in China
title_full Library data visualisation transformations: global patterns for research evaluation metrics in China
title_fullStr Library data visualisation transformations: global patterns for research evaluation metrics in China
title_full_unstemmed Library data visualisation transformations: global patterns for research evaluation metrics in China
title_short Library data visualisation transformations: global patterns for research evaluation metrics in China
title_sort library data visualisation transformations: global patterns for research evaluation metrics in china
topic Data Visualisation; Citation Analysis; Strategic Intelligence; Research Evaluation Metrics Data; Physical Library Spaces.
url https://eprints.nottingham.ac.uk/56031/