DANS is an institute of KNAW and NWO

Data Archiving and Networked ServicesData Archiving and Networked Services

Walking through a library remotely

Andrea Scharnhorst

April 12, 2013

HUMANITES DIGITALES, UNIVERSITE DE LILLE 3

ehumanities.nl

Andrea Scharnhorst – “science located”

•Head of eResearch at DANS and scientific coordinator of the Computational Humanities programme at the eHumanities group of the Royal Netherlands Academy of Arts and Sciences (KNAW) – DANS=Data Archiving and Networked Services Institute (DANS)

Analyzing the dynamics of information and knowledge landscapes

Data Archiving and Networked ServicesAnna van Saksenlaan 10, 2593 HT The Hague. P.O. Box 93067, 2509 AB The Hague.T +31 (0)70 3446 484, F +31 (0)70 3446 482, E info@dans.knaw.nl

Visual Interfaces to Collections

An experiment – Why?

Search interfaces

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Source: Places and Spaces – scimaps.org – Klavans/Boyack

ElectronicArchivingSYstem and NARCIS – Core services (‘products’) of DANS

www.easy.dans.knaw.nl

www.narcis.nl

Disciplinary composition of EASY

The category tree used in EASY

Numbers don’t add up!? They should not add up!!! Used as controlled vocabulary they get linked via co-classification.

12+45+167+1336+1398151

Experimenting with visualizations: circle packing

Experimenting with visualizations: treemaps

Scharnhorst, Andrea, Olav ten Bosch, and Peter Doorn. 2012. “Looking at a Digital Research Data Archive - Visual Interfaces to EASY”. Digital Libraries; Physics and Society (April 14). http://arxiv.org/abs/1204.3200.

Designing interfaces to collections – visual enhanced browsing

All datasets in the digital archive of DANS at one glance.

www.drasticdata.nl

Steps towards visual enhanced/facetted browsing

AH CS M&P SoSc

Data Archiving and Networked ServicesAnna van Saksenlaan 10, 2593 HT The Hague. P.O. Box 93067, 2509 AB The Hague.T +31 (0)70 3446 484, F +31 (0)70 3446 482, E info@dans.knaw.nl

The secret beauty of classifications

Knowledge Space LabAlmila Akdag Sahal, Cheng Gao, Krzysztof Suchecki, Andrea Scharnhorst

Study of different knowledge representations

Top-down Approach

all knowledge

field group

discipline

… specialty …

specific document(e.g. article)

Bottom-up Approach – basis of folksonomies

• Relational InformationPapers, authors, institutions, etc.

Relations between the items – citations, co-authorships, collaborations, word co-occurence, citation environment similarity etc.

Classification Systems

The structure is determined by the author of the system

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

Suchecki, Krzysztof, Almila Akdag Salah, Cheng Gao, and Andrea Scharnhorst. 2012. “Evolution of Wikipedia’s Category Structure.” Advances in Complex Systems 15 (supp01): 1250068–1. doi:10.1142/S0219525912500683

Evolution of UDC

Place Generalcharacteristics

Data Archiving and Networked ServicesAnna van Saksenlaan 10, 2593 HT The Hague. P.O. Box 93067, 2509 AB The Hague.T +31 (0)70 3446 484, F +31 (0)70 3446 482, E info@dans.knaw.nl

Visualizations and humanities

See also http://ehumanities.nl

http://www.martinjkemp.com/welcome.html

And http://www.lorentzcenter.nl/lc/web/2012/480/presentations/index.php3?wsid=480&type=presentations [Scharnhorst]

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Snapshot from http://benfry.com/traces/Text expands with editions

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http://scimaps.org/maps/map/history_flow_visuali_56/detail/

Data Archiving and Networked ServicesAnna van Saksenlaan 10, 2593 HT The Hague. P.O. Box 93067, 2509 AB The Hague.T +31 (0)70 3446 484, F +31 (0)70 3446 482, E info@dans.knaw.nl

KnowEscape TD1210

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Analyzing the dynamics of information and knowledge landscapes

COST Action TD 1210, @Knowescape, Mendeley 

C Structure and OrganisationC1 Presentation – C2 Workplan•Analysis and models of

knowledge spaces

•Maps as navigation tools through knowledge spaces

•Guidelines for implementing knowledge maps

Scientific Objectives

•Selection of knowledge spaces to be mapped

•Data representations to support data mining across knowledge spaces

•Identify dimensions of knowledge maps – modeling and analyzing knowledge spaces

•A typology of knowledge maps•Implementation of knowledge maps

Tasks

•WG 1: Phenomenology of knowledge spaces

•WG 2: Theory of knowledge spaces

•WG 3: Visual analytics of knowledge spaces – knowledge maps

•WG 4: Data curation and navigation based on knowledge maps

Working groups

METHODS

OBJECT OF STUDY

IMPLEMENTATION

Scientific Objectives

How to join?Go to http://www.cost.eu/TD1210, Workplan (MoU) is there.Look at the Management committee list.Contact your country MC representative, indicate your interest, join forces!COST fosters collaboration with (small) network funds and encouragesoutreach.

Look at the KnowEscape.org website [in air after April 26] for activities, and contact working group leaders.

Follow us on Twitter and Mendeley (papers)!

First upcoming events: UDCC 2013 The Hague, NLModelling social processes 2014 Leiden, NL

eResearch DANS

Nowadays science = team science! Thank you for your attention! For more information please contact Andrea.scharnhorst@dans.knaw.nl

and see our publications at www.dans.knaw.nl and Mendeley/DANS

Leen BreureEnhanced publications, eHistory

Dirk RoordaQueries as annotations, CLARIN, Circulation of knowledge

Peter DoorneHistory, Clarin, Dariah, ClariahDirector of DANS

Rene van HorikSustainability and permanence, multi-media sources, APARSEN, NEDIMAH

Frank van der MostScientific careers and cultures of data sharing, ACUMEN

Albert Moroño PeñuelaSemantic web, CEDAR

Linda ReijnhoudtNARCIS, Visualizations

Katy BörnerIndiana UniversityVisiting fellow DANS-KNAW

Christophe GuéretSemantic web, complex networksCEDAR

Ashkan AskpourHistory, information sciences, IISHCEDAR

Olav ten BoschDrastic data

Cheng Goa, Krzysztof Suchecki, Almila AkdagKNOWLEDGE SPACE LAB

KSL

Cristian DinuWikiReg

Marat CharlaganovWikiReg