Research issues in data provenance

Vicknair, Chad

doi:10.1145/1900008.1900037

Cited by 3 publications

(2 citation statements)

References 21 publications

(41 reference statements)

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“…As [2] points out that in spite of efforts on various levels there is at present no universally accepted standards for data provenance. This is in the authors' eyes not surprising, given that research data varies drastically in type, volume and nature across disciplines -the challenges for provenance for (say) a protein database have very little in common with the corresponding challenges in astronomy, let alone the philologies, the subject of this paper.…”

Section: Data Provenancementioning

confidence: 99%

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TextGrid provenance tools for digital humanities ecosystems

Küster

Ludwig²,

Al-Hajj

et al. 2011

5th IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST 2011)

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Philological research is very much concerned with the idea of data provenance. However, existing provenance models in eResearch and eScience for data and workflow are illapplicable to the specific challenges of philological research in the digital age. In philology, provenance data must be collected not only for the complete research objects, but also for fragments -in particular for texts. This necessitates a much richer provenance model that is interwoven with the objects' textual structure and supports the association of provenance data with individual words. It must also permit multiple interpretations of provenance for a single research object. In this, the requirements in digital philology can also be paradigmatic for very fine-granular provenance information collection in other domain-specific digital ecosystems.This paper elaborates key requirements of data and workflow provenance in the philologies and demonstrates how the tools in the TextGrid digital humanities ecosystem answer to those needs. In addition to TextGrid's text-image-link editor and its underlying data model the paper also introduces the humanities' provenance tool HPT for RESTful workflows. HPT is specifically geared to supporting the provenance requirements for workflows in heterogeneous digital humanities ecosystems.

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Section: Data Provenancementioning

confidence: 99%

“…2 The Encyclopédie ou dictionnaire universel raisonné des connaissances humaines originally appeared in the Swiss city of Yverdon from 1770 to 1780 under the direction of Fortunato Bartolomeo De Felice. It was published electronically on CD-ROM in 2003, cf.…”

Section: A Provenance Of Texts and Wordsmentioning

confidence: 99%