An ecosystem for Linked Humanities Data. Hoekstra, R., Meroño-Peñuela, A., Dentler, K., Rijpma, A., Zijdeman, R., & Zandhuis, I. CEUR workshop proceedings, 1608:85–96, CEUR Workshop Proceedings, 2016.
doi  abstract   bibtex   
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 datahub, 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.
@article{e3f25d50b5a44b00a2906e5dd944c2a9,
  title     = "An ecosystem for Linked Humanities Data",
  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 datahub, 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.",
  keywords  = "digital humanities, structured data, linked data, QBer",
  author    = "Rinke Hoekstra and Albert Meroño-Peñuela and Kathrin Dentler and Auke Rijpma and Richard Zijdeman and Ivo Zandhuis",
  year      = "2016",
  doi       = "10.1007/978-3-319-47602-5_54",
  volume    = "1608",
  pages     = "85--96",
  journal   = "CEUR workshop proceedings",
  issn      = "1613-0073",
  publisher = "CEUR Workshop Proceedings",
}

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