Mapping Social Sciences and Humanities - Impact, Orientation, Understanding Andrea esof

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DANS is an institute of KNAW and NWO Data Archiving and Networked Services Data Archiving and Networked Services Mapping social sciences and humanities – Impact, Orientation, Understanding Andrea Scharnhorst June 23, 2014 ESOF2014 Mapping Social Sciences and Humanities Session

description

This presentation gives an overview about the current use of science maps in evaluation, strategic planning, career development; and how they could be used in future.

Transcript of Mapping Social Sciences and Humanities - Impact, Orientation, Understanding Andrea esof

Page 1: Mapping Social Sciences and Humanities - Impact, Orientation, Understanding Andrea esof

DANS is an institute of KNAW and NWO

Data Archiving and Networked ServicesData Archiving and Networked Services

Mapping social sciences and humanities – Impact,

Orientation, Understanding

Andrea Scharnhorst

June 23, 2014

ESOF2014 Mapping Social Sciences and Humanities Session

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Andrea Scharnhorst – “science located”

•Head of Research&Innovation at DANS: Data Archiving and Networked Services Institute•Scientific coordinator of the Computational Humanities programme at the eHumanities group of the Royal Netherlands Academy of Arts and Sciences (KNAW)

20012000 2010

@scharnhorstaResearchGate; Mendeley; Academics.edu; LinkedIn

www.knowescape.org

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Only use this slide to present a screenshot of an application. As no style is applied, the screenshot can take up the whole slide. For all other information please use the slide with preset style!

scimaps.org – Katy Borner – Map maker: Klavans/Boyack

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Clickstream data map of science –

Bollen, Van Sompel, et al.

www.mesur.org

‘Reading behavior’

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Frank van der Most ACUMEN

Hellsten et al. (2007) Self-citations Scientometrics

Han-Teng Liao, Oxford Internet Institute

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Only use this slide to present a screenshot of an application. As no style is applied, the screenshot can take up the whole slide. For all other information please use the slide with preset style!

Almila Akdag Sahal, Cheng Gao, Krzysztof Suckecki, Andrea Scharnhorst; Places and Spaces, 7th Iteration, see http://www.scimaps.org/flat/exhibit_info/#7

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ANALYZING THE DYNAMICS OF INFORMATION ANALYZING THE DYNAMICS OF INFORMATION AND KNOWLEDGE LANDSCAPES AND KNOWLEDGE LANDSCAPES

Browse a collection or a database

Map size, structure, composition and evolution of the collection

Locate your search on such an interactive knowledge map

• Domain overview for students, interdisciplinary teams, lay experts and funding agencies

• Tools for scholars of history and philosophy of science and bibliometrics

• Overview of BigData collections (incl. social media)

Given the explosion of information how to navigate to find what is needed?

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Information professionals•Collections, Information retrieval•WG 1 Phenomenology of knowledge spaces• WG 4 Data curation & navigation

Social scientists•Simulating user behavior•WG 2 Theory of knowledge spaces•WG 4 Data curation & navigation

Computer scientists •Semantic web, data models•WG 1 Phenomenology of Knowledge Spaces•WG 4 Data curation &navigation

Physicists, mathematicians

Digital humanities scholars•Collections, interactive design•WG 3 Visual analytics – knowledge maps•WG 4 Data curation & navigation

Participating communitiesParticipating communities

• Structure & evolution of complex knowledge spaces, big data mining

• WG 2 Theory of knowledge spaces

• WG 3 Visual analytics – knowledge maps

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References• Borner, K. (2010). Atlas of Science. Cambridge, Mass.: MIT

Press.• Borner, K., Klavans, R., Patek, M., Zoss, A. M., Biberstine,

J. R., Light, R. P., … Boyack, K. W. (2012). Design and update of a classification system: The ucsd map of science. PLoS ONE, 7. doi:10.1371/journal.pone.0039464

• Boyack, K. W., & Klavans, R. (2014). Including cited non-source items in a large-scale map of science: What difference does it make? Journal of Informetrics, 8(3), 569–580. doi:10.1016/j.joi.2014.04.001

• Börner, K., & Scharnhorst, A. (2009). Visual conceptualizations and models of science. Editorial. Special issue “Science of Science: Conceptualizations and Models of Science.” Journal of Informetrics, 3(3), 161–172. doi:10.1016/j.joi.2009.03.008

• Leydesdorff, L., Rafols, I., & Chen, C. (2013). Interactive Overlays of Journals and the Measurement of Interdisciplinarity on the basis of Aggregated Journal-Journal Citations. Journal of the American Society for Information Science and Technology, 64(12), 2573–2586. Digital Libraries. doi:10.1002/asi.22946

• Bar-Ilan, J. (2014). Evaluating the individual researcher – adding an altmetric perspective. Research Trends, (37), 31–32.

• MORE http://www.mendeley.com/groups/1581483/knowescape-the-dynamics-of-information-and-knowledge-landscapes/

• Sci2 tool https://sci2.cns.iu.edu/

• http://www.vosviewer.com/• http://

www.citnetexplorer.nl/Home

• ManyEyes http://www.manyeyes.com/software/analytics/manyeyes/

• Data Driven Documents http://d3js.org/