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2021
DOI: 10.1108/jd-11-2020-0188
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Documenting information making in archaeological field reports

Abstract: PurposeSharing information about work processes has proven to be difficult. This applies especially to information shared from those who participate in a process to those who remain outsiders. The purpose of this article is to increase understanding of how professionals document their work practices with a focus on information making by analysing how archaeologists document their information work in archaeological reports.Design/methodology/approachIn total 47 Swedish archaeological reports published in 2018 w… Show more

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Cited by 20 publications
(24 citation statements)
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References 96 publications
(132 reference statements)
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“…Datasets have traditionally not been considered standalone products or genres, and consequently they have not been defined and prepared as fieldwork output (Huvila 2016). Data provenance and process information may exist in the documentation produced during, for example, an archaeological excavation, but it is likely to be scattered across fieldwork diaries, context sheets, notes on maps and drawings, site photos, and the field reports (Huvila, Sköld, and Börjesson 2021;Huvila 2006). Metadata and process information in attached readme-files, table definition files, or in the dataset itself (e.g., supplementary information in column headers) may be sparse or non-existent.…”
Section: Metadata and Paradata Generation By Extractionmentioning
confidence: 99%
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“…Datasets have traditionally not been considered standalone products or genres, and consequently they have not been defined and prepared as fieldwork output (Huvila 2016). Data provenance and process information may exist in the documentation produced during, for example, an archaeological excavation, but it is likely to be scattered across fieldwork diaries, context sheets, notes on maps and drawings, site photos, and the field reports (Huvila, Sköld, and Börjesson 2021;Huvila 2006). Metadata and process information in attached readme-files, table definition files, or in the dataset itself (e.g., supplementary information in column headers) may be sparse or non-existent.…”
Section: Metadata and Paradata Generation By Extractionmentioning
confidence: 99%
“…A key step towards facilitating extended and more purposeful data reuse is to better understand and assess the process of data creation. In this article, we focus on paradata, a subset of contextual information that describes data creation and manipulation processes and their underpinnings, which is often left undocumented in structured dataset descriptions but commonly is implicitly present and, at least to a competent reader, to varying degrees identifiable in the data itself (Huvila 2020a;Huvila, Sköld, and Börjesson 2021). Paradata, like descriptions of methods and tools used to produce data, is particularly interesting because it is often central to making and communicating assessments of data reliability and an important facilitator of productive and efficient data reuse (Faniel et al 2013).…”
Section: Introductionmentioning
confidence: 99%
“…Couper, 2000 versus metadata that describes data; Pomerantz, 2015) has gained prominence especially in survey research (Goodwin et al, 2017) and cultural heritage visualisation communities (Bentkowska-Kafel & Denard, 2012), and more recently, for instance, in archaeology (e.g. Huvila et al, 2021). A key aspect of both provenance metadata and paradata, underlined in the recent literature (e.g.…”
Section: Documenting Processes and Practices: On Overviewmentioning
confidence: 99%
“…A key aspect of both provenance metadata and paradata, underlined in the recent literature (e.g. Huvila et al, 2021;Michetti, 2017;Sköld, 2017), is that they can take many different forms and be embedded in the data itself-especially when the perspective to information-related processes and practices is extended beyond interactions pertaining to specific technical information objects to their broader stakeholder contexts.…”
Section: Documenting Processes and Practices: On Overviewmentioning
confidence: 99%
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