{"title":"Minding the Gap: Creating Meaning from Missing and Anomalous Data","authors":"Ciaran B. Trace, Yan Zhang","doi":"10.7560/IC56204","DOIUrl":null,"url":null,"abstract":"abstract:Complicating the notion that personal surveillance is always ubiquitous and pervasive, this article investigates the macro-, meso-, and microlevel \"gaps\" that confound the study of self-tracking. Literature from human-computer interaction, critical data studies, and archival science, as well as insights from qualitative research by the authors into the long-term value of self-tracking data, is used to expand a typology of \"gaps\" that exist as part of the activities, behaviors, technologies, and data practices of self-tracking. In this article an emphasis is placed on elucidating microlevel accountable and expressive gaps, articulating how people respond to and make sense of the temporal absences in their own self-tracking data. In the process, the authors argue for self-tracking research to reorient from a perspective that seeks to mitigate all data gaps to one in which data gaps are viewed as an opportunity to connect individuals with meaningful changes in the patterns of life.","PeriodicalId":42337,"journal":{"name":"Information & Culture","volume":"56 1","pages":"178 - 216"},"PeriodicalIF":0.6000,"publicationDate":"2021-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information & Culture","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.7560/IC56204","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HISTORY","Score":null,"Total":0}
引用次数: 3
Abstract
abstract:Complicating the notion that personal surveillance is always ubiquitous and pervasive, this article investigates the macro-, meso-, and microlevel "gaps" that confound the study of self-tracking. Literature from human-computer interaction, critical data studies, and archival science, as well as insights from qualitative research by the authors into the long-term value of self-tracking data, is used to expand a typology of "gaps" that exist as part of the activities, behaviors, technologies, and data practices of self-tracking. In this article an emphasis is placed on elucidating microlevel accountable and expressive gaps, articulating how people respond to and make sense of the temporal absences in their own self-tracking data. In the process, the authors argue for self-tracking research to reorient from a perspective that seeks to mitigate all data gaps to one in which data gaps are viewed as an opportunity to connect individuals with meaningful changes in the patterns of life.