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The dataLegend Ecosystem for Historical Statistics

22 Pages Posted: 26 Jun 2018 First Look: Accepted

See all articles by Rinke Hoekstra

Rinke Hoekstra

VU University Amsterdam - Department of Computer Science

Albert Meroño-Peñuela

VU University Amsterdam - Department of Computer Science

Auke Rijpma

Utrecht University - School of Economics

Richard Zijdeman

Royal Netherlands Academy of Arts and Sciences - International Institute of Social History (IISH)

Ashkan Ashkpour

University of Amsterdam - University Medical Center

Kathrin Dentler

University of Amsterdam - University Medical Center

Ivo Zandhuis

Ivo Zandhuis Research & Consultancy

Laurens Rietveld

Triply

Abstract

The main promise of the digital humanities is the ability to perform scholarly studies at a much broader scale, and in a much more reusable fashion. The key enabler for such studies is the availability of sufficiently well described data. For the field of socio-economic history, data usually comes in a tabular form. Existing efforts to curate and publish datasets take a top-down approach and are focused on large collections, produce scarce metadata, require expertise for effective integration, provide poor user support while producing mappings, and present issues at data access. This paper presents the datalegend platform, which addresses the long tail of research data by catering for the needs of individual scholars. datalegend allows researchers to publish their (small) datasets, link them to existing vocabularies and other datasets, and thereby contribute to a growing collection of interlinked datasets. We present the architecture of datalegend; its core vocabularies and data; and QBer, an interactive, user supportive mapping generator and RDF converter. We evaluate our results by showing how our system facilitates use cases in socio-economic history.

Keywords: Digital Humanities, Structured Data, Linked Data, QBer

Suggested Citation

Hoekstra, Rinke and Meroño-Peñuela, Albert and Rijpma, Auke and Zijdeman, Richard and Ashkpour, Ashkan and Dentler, Kathrin and Zandhuis, Ivo and Rietveld, Laurens, The dataLegend Ecosystem for Historical Statistics (2018). Journal of Web Semantics First Look. Available at SSRN: https://ssrn.com/abstract=3180339 or http://dx.doi.org/10.2139/ssrn.3180339

Rinke Hoekstra (Contact Author)

VU University Amsterdam - Department of Computer Science ( email )

De Boelelaan 1081
1081 HV Amsterdam
Netherlands

Albert Meroño-Peñuela

VU University Amsterdam - Department of Computer Science ( email )

De Boelelaan 1081
1081 HV Amsterdam
Netherlands

Auke Rijpma

Utrecht University - School of Economics ( email )

Kriekenpitplein 21-22
Adam Smith Building
Utrecht, +31 30 253 7373 3584 EC
Netherlands

Richard Zijdeman

Royal Netherlands Academy of Arts and Sciences - International Institute of Social History (IISH) ( email )

Amsterdam, 1000 GC
Netherlands

Ashkan Ashkpour

University of Amsterdam - University Medical Center ( email )

Meibergdreef 9
Amsterdam, 1105
Netherlands

Kathrin Dentler

University of Amsterdam - University Medical Center ( email )

Meibergdreef 9
Amsterdam, 1105
Netherlands

Ivo Zandhuis

Ivo Zandhuis Research & Consultancy ( email )

Rijksstraatweg 79
2024 DB Haarlem
Netherlands

Laurens Rietveld

Triply ( email )

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