YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASME
    • Journal of Computing and Information Science in Engineering
    • View Item
    •   YE&T Library
    • ASME
    • Journal of Computing and Information Science in Engineering
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    My Facts Are not Your Facts: Data Wrangling as a Socially Negotiated Process, A Case Study in a Multisite Manufacturing Company

    Source: Journal of Computing and Information Science in Engineering:;2022:;volume( 022 ):;issue: 006::page 60906
    Author:
    Eckert, Claudia;Isaksson, Ola;HaneHagström, Malin;Eckert, Calandra
    DOI: 10.1115/1.4055953
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The condition under which the data wrangling process is undertaken has a profound impact on the quality of the results of the data wrangling and analysis. This paper presents the results of the analysis of the sociotechnical aspects of a data wrangling activity in a large, multisite global manufacturer. This activity was technically demanding, as operational data from multiple sources and formats needed to be integrated, but also involved interaction with multiple stakeholders in different parts of the world with their own ways of collecting and structuring the data. The data had been captured previously for a different purpose. The clients were not aware that the data followed a different logic in the various sites and in some cases needed to be manually extracted and interpreted. The paper describes the data wrangling process and analyses the assumptions, goals, and biases of the different stakeholders. The analysis raises questions and insights about how data can be trusted and suggests that human intervention with data along the data wrangling process is often unintentional, tacit, and easily overlooked. It is suggested that contextual factors, such as data quality and assessment of consequences when acting/making decisions on the new data set are given higher attention during the specification of data wrangling assignments. The paper concludes with recommendations for data wrangling practitioners.
    • Download: (556.4Kb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      My Facts Are not Your Facts: Data Wrangling as a Socially Negotiated Process, A Case Study in a Multisite Manufacturing Company

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4288692
    Collections
    • Journal of Computing and Information Science in Engineering

    Show full item record

    contributor authorEckert, Claudia;Isaksson, Ola;HaneHagström, Malin;Eckert, Calandra
    date accessioned2023-04-06T12:53:04Z
    date available2023-04-06T12:53:04Z
    date copyright10/28/2022 12:00:00 AM
    date issued2022
    identifier issn15309827
    identifier otherjcise_22_6_060906.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4288692
    description abstractThe condition under which the data wrangling process is undertaken has a profound impact on the quality of the results of the data wrangling and analysis. This paper presents the results of the analysis of the sociotechnical aspects of a data wrangling activity in a large, multisite global manufacturer. This activity was technically demanding, as operational data from multiple sources and formats needed to be integrated, but also involved interaction with multiple stakeholders in different parts of the world with their own ways of collecting and structuring the data. The data had been captured previously for a different purpose. The clients were not aware that the data followed a different logic in the various sites and in some cases needed to be manually extracted and interpreted. The paper describes the data wrangling process and analyses the assumptions, goals, and biases of the different stakeholders. The analysis raises questions and insights about how data can be trusted and suggests that human intervention with data along the data wrangling process is often unintentional, tacit, and easily overlooked. It is suggested that contextual factors, such as data quality and assessment of consequences when acting/making decisions on the new data set are given higher attention during the specification of data wrangling assignments. The paper concludes with recommendations for data wrangling practitioners.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleMy Facts Are not Your Facts: Data Wrangling as a Socially Negotiated Process, A Case Study in a Multisite Manufacturing Company
    typeJournal Paper
    journal volume22
    journal issue6
    journal titleJournal of Computing and Information Science in Engineering
    identifier doi10.1115/1.4055953
    journal fristpage60906
    journal lastpage6090612
    page12
    treeJournal of Computing and Information Science in Engineering:;2022:;volume( 022 ):;issue: 006
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian