Litcius/Paper detail

Promoting data quality and reuse in archaeology through collaborative identifier practices

Eric Kansa, Sarah Whitcher Kansa

2022Proceedings of the National Academy of Sciences23 citationsDOIOpen Access PDF

Abstract

Investments in data management infrastructure often seek to catalyze new research outcomes based on the reuse of research data. To achieve the goals of these investments, we need to better understand how data creation and data quality concerns shape the potential reuse of data. The primary audience for this paper centers on scientific domain specialists that create and (re)use datasets documenting archaeological materials. This paper discusses practices that promote data quality in support of more open-ended reuse of data beyond the immediate needs of the creators. We argue that identifier practices play a key, but poorly recognized, role in promoting data quality and reusability. We use specific archaeological examples to demonstrate how the use of globally unique and persistent identifiers can communicate aspects of context, avoid errors and misinterpretations, and facilitate integration and reuse. We then discuss the responsibility of data creators and data reusers to employ identifiers to better maintain the contextual integrity of data, including professional, social, and ethical dimensions.

Topics & Concepts

IdentifierReuseData qualityComputer scienceContext (archaeology)Quality (philosophy)Data scienceUnique identifierDomain (mathematical analysis)Data integrationKnowledge managementReusabilityEngineeringDatabaseArchaeologySoftwareOperations managementEpistemologyMathematical analysisHistoryPhilosophyWaste managementMathematicsProgramming languageMetric (unit)Research Data Management PracticesData Quality and ManagementScientific Computing and Data Management
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