Authority and Judgement in the Digital Archive

Dix, Alan; Cowgill, Rachel; Bashford, Christina; McVeigh, Simon; Ridgewell, Rupert

doi:10.1145/2660168.2660171

Cited by 9 publications

(8 citation statements)

References 11 publications

(11 reference statements)

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“…An inventory by Vincent Baptist (2018) for MEPAD: Mapping European Performing Arts Data shows that all over Europe, relational databases are currently being created to connect traditional indices of works and composers to events, venues, programming practices, journalism and other relevant aspects of musical culture. Examples such as The Concert Programmes Project (Ridgewell, 2010) and Concert Life in Nineteenth-Century London Database (Dix, Cowgill, Bashford, McVeigh, & Ridgewell, 2014) show the enormous advantages of these datasets for research into musical cultures and practices. In the meanwhile, the performance history of various prominent opera houses such as the London Royal Opera House, Paris Opéra Comique, and Prague National Theatre has been made available in digital form.…”

Section: Lexicons and Datasetsmentioning

confidence: 99%

Operatic Productions in the Netherlands, 1886–1995: from Printed Annals to Searchable Performance Data

Nieuwkerk

Salters

Helmers

et al. 2020

Res. Data J Humanit. Soc. Sci.

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This data paper accompanies the database Operatic productions in the Netherlands, an open dataset containing details on over five thousand opera productions in the Netherlands between 1885 and 1995 extracted from the Annalen van de Nederlandse Opera-gezelschappen (Annals of the Opera Companies in the Netherlands), which appeared in book form in 1996. These data give an extremely rich account of the performance history of operatic works and the personnel involved in their production. Since the original publication lacks a critical introduction, the authors have attempted to reconstruct the origins and systematics of the collection. They also discuss the attributes of the data and the basic data structure in order to give users relevant information to use and restructure the data for their interests. The data structure and metadata classifications are based on an inventory of the classifications used in existing performing arts databases across Europe. This facilitates future connections to other relevant performing arts datasets. The transfer of the Annals into a relational database finally brings out their full research potential.

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Section: Lexicons and Datasetsmentioning

confidence: 99%

Operatic Productions in the Netherlands, 1886–1995: from Printed Annals to Searchable Performance Data

Nieuwkerk

Salters

Helmers

et al. 2020

Res. Data J Humanit. Soc. Sci.

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show abstract

“…In previous work we have explored the values and value mechanisms that are critical in forming attitudes towards crowdsourcing and automation within digital humanities [DC14]. We will summarise these as a basis for understanding potential ways forward.…”

Section: Scholarly Values and Academic Valuementioning

confidence: 99%

Crowdsourcing and Scholarly Culture: Understanding Expertise in an Age of Popularism

Dix

Cowgill

Bashford

et al. 2019

Human–Computer Interaction Series

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The increasing volume of digital material available to the humanities creates clear potential for crowdsourcing. However, tasks in the digital humanities typically do not satisfy the standard requirement for decomposition into microtasks each of which must require little expertise on behalf of the worker and little context of the broader task. Instead, humanities tasks require scholarly knowledge to perform and even where sub-tasks can be extracted, these often involve broader context of the document or corpus from which they are extracted. That is the tasks are macrotasks, resisting simple decomposition. Building on a case study from musicology, the In Concert project, we will explore both the barriers to crowdsourcing in the creation of digital corpora and also examples where elements of automatic processing or less-expert work are possible in a broader matrix that also includes expert microtasks and macrotasks. Crucially we will see that the macrotask-microtask distinction is nuanced: it is often possible to create a partial decomposition into less-expert microtasks with residual expert macrotasks, and crucially do this in ways that preserve scholarly values.

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“…[24] "Two key concerns for digital archives in general…are the desire to be: authoritative and of known quality [and] complete, or at least sampled in a well-controlled and well-documented manner." [25] This perception results from a somewhat outdated paradigm of the digital resource (that its only value is in the access it provides), and places a particular burden given the often hidden nature of many sources (discussed below).…”

Section: Revisiting the Complexity Of Humanistic Datamentioning

confidence: 99%

Will Historians Ever Have Big Data?

Edmond

2016

IFIP Advances in Information and Communication Technology

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Authority and Judgement in the Digital Archive

Cited by 9 publications

References 11 publications

Operatic Productions in the Netherlands, 1886–1995: from Printed Annals to Searchable Performance Data

Operatic Productions in the Netherlands, 1886–1995: from Printed Annals to Searchable Performance Data

Crowdsourcing and Scholarly Culture: Understanding Expertise in an Age of Popularism

Will Historians Ever Have Big Data?

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