LSD Dimensions: Use and Reuse of Linked Statistical Data

Meroño‐Peñuela, Albert

doi:10.1007/978-3-319-17966-7_22

Cited by 7 publications

(7 citation statements)

References 2 publications

(2 reference statements)

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“…The 'Community' button gives access to all known predefined datacube dimensions. These come from LSD Dimensions, an index of dimensions used in Data Structure Definitions of RDF Data Cubes on the Web [43] and from datasets previously processed by QBer that now reside on the platform.…”

Section: Data Ingestionmentioning

confidence: 99%

The dataLegend ecosystem for historical statistics

Hoekstra

Meroño‐Peñuela

Rijpma

et al. 2018

Journal of Web Semantics

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Section: Data Ingestionmentioning

confidence: 99%

The dataLegend ecosystem for historical statistics

Hoekstra

Meroño‐Peñuela

Rijpma

et al. 2018

Journal of Web Semantics

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“…In this section we describe the conversion process of the census tables from their original format to RDF 15 Figure 2. A specific interpretation of the eccentric layout of these tables is necessary to generate RDF triples expressing exactly the same information.…”

Section: Data Conversionmentioning

confidence: 99%

“…In QB, data points are called observations, primarily composed of a measure (e.g. "3 inhabitants") and a set 15 All conversion source code is available at https://github.com/ CEDAR-project/Integrator/ 16 See https://github.com/CEDAR-project/Integrator/ Fig. 1.…”

Section: Raw Datamentioning

confidence: 99%

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CEDAR: The Dutch historical censuses as Linked Open Data

Meroño‐Peñuela

Ashkpour

Guéret

et al. 2016

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Abstract. Here, we describe the CEDAR dataset, a five-star Linked Open Data representation of the Dutch historical censuses. These were conducted in the Netherlands once every 10 years from 1795 to 1971. We produce a linked dataset from a digitized sample of 2,288 tables. It contains more than 6.8 million statistical observations about the demography, labour and housing of Dutch society in the 18th, 19th and 20th centuries. The dataset is modeled using the RDF Data Cube, Open Annotation, and PROV vocabularies. These are used to represent the multidimensionality of the data, to express rules of data harmonization, and to keep track of the provenance of all data points and their transformations, respectively. We link observations within the dataset to well known standard classification systems in social history, such as the Historical International Standard Classification of Occupations (HISCO) and the Amsterdamse Code (AC). The three contributions of the dataset are (1) an easier access to integrated census data for historical researchers; (2) richer connections to related Linked Data resources; and (3) novel concept schemes of historical relevance, like classifications of historical religions and historical house types.

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“…The 'Community' button gives access to all known predefined datacube dimensions. These come from LSD Dimensions, an index of dimensions used in Data Structure Definitions of RDF Data Cubes on the Web [18] and from datasets previously processed by QBer that now reside on the CSDH.…”

Section: Qber and The Structured Data Hubmentioning

confidence: 99%

An Ecosystem for Linked Humanities Data

et al. 2016

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Abstract. The main promise of the digital humanities is the ability to perform scholar 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. This paper presents QBer and the underlying structured data hub, which address the long tail of research data by catering for the needs of individual scholars. QBer 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 QBer, and evaluate our first results by showing how our system facilitates two use cases in socio-economic history.

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LSD Dimensions: Use and Reuse of Linked Statistical Data

Cited by 7 publications

References 2 publications

The dataLegend ecosystem for historical statistics

The dataLegend ecosystem for historical statistics

CEDAR: The Dutch historical censuses as Linked Open Data

An Ecosystem for Linked Humanities Data

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