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

Andrea Scharnhorst
Andrea ScharnhorstChief Integration Officer at DARIAH.EU
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
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
@scharnhorsta
ResearchGate; Mendeley;
Academics.edu; LinkedIn
www.knowescape.org
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
Clickstream data
map of science –
Bollen, Van
Sompel, et al.
www.mesur.org
‘Reading
behavior’
Mapping Social Sciences and Humanities - Impact, Orientation, Understanding Andrea esof
Frank van der Most ACUMEN
Hellsten et al. (2007) Self-citations Scientometrics
Han-Teng Liao, Oxford Internet Institute
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
ANALYZING THE DYNAMICS OFANALYZING THE DYNAMICS OF
INFORMATION AND KNOWLEDGEINFORMATION AND KNOWLEDGE
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?
Informa on Professionals/
Informa on Scien sts
Social Scien sts
Computer Scien sts
Physics/Mathema cs
Digital Humani es
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
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/knowesca
pe-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/manye
yes/
• Data Driven Documents
http://d3js.org/
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Mapping Social Sciences and Humanities - Impact, Orientation, Understanding Andrea esof

  • 1. 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
  • 2. 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 @scharnhorsta ResearchGate; Mendeley; Academics.edu; LinkedIn www.knowescape.org
  • 3. 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
  • 4. Clickstream data map of science – Bollen, Van Sompel, et al. www.mesur.org ‘Reading behavior’
  • 6. Frank van der Most ACUMEN Hellsten et al. (2007) Self-citations Scientometrics Han-Teng Liao, Oxford Internet Institute
  • 7. 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
  • 8. ANALYZING THE DYNAMICS OFANALYZING THE DYNAMICS OF INFORMATION AND KNOWLEDGEINFORMATION AND KNOWLEDGE 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?
  • 9. Informa on Professionals/ Informa on Scien sts Social Scien sts Computer Scien sts Physics/Mathema cs Digital Humani es 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
  • 10. 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/knowesca pe-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/manye yes/ • Data Driven Documents http://d3js.org/

Editor's Notes

  1. One of the basemaps of science – long journey – around the corner Working both in DH and in archive Career in terms of projects Still books
  2. My favorite: mid 2000 Inf Vis meets scientometrics – all science together; widen the perspective More -> Atlas of Science From the beginning: visualizations as a way to support the understanding of the sciences but also to support evaluations – two meaning of mapping: associate (a group of elements or qualities) with an equivalent group – descriptive – but also represent (an area) on a map – draw/sketch/visualize
  3. Its all in the data! It is also still a profession: tools available; but most of the really nice large scale visualizations (NARCIS poster) are static, and taylor made But, increasing use in impact studies/consultancy/daily evaluation
  4. Evaluating institutions, getting insights in trends; apply to funding streams – ImpactEV project
  5. What is in for me? Altmetrics, assessment for each step, PW Narcism and job market
  6. Measuring, visualization – is this all? Need for orientation as interdisciplinary researcher
  7. Possible users Expert moving into new research area Non-experts i.e. those who need to be guided or helped in understanding or topic and its interactions Scholars/students conducting literature research Scholars engaging with interdiscplinary and mutlidisciplinary research problems Funding officer in need of research field overview Funding bodies observing project result take-ups, cross-fertilization and dissemination Academic institutions in developing educational and research curricula Patent and standard bodies and investors exploring the implementation and application areas Tools for Scholars of History and Philosophy of Science and Bibliometrics