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Title:Emerging Insights on Building Infrastructure for Data-Driven Transparency and Accountability of Organizations
Author(s):Pine, Kathleen; Mazmanian, Melissa
Subject(s):data science including digital curation and big data
social informatics
infrastructure studies
Abstract:Diverse domains including education, healthcare, and business are attempting to harness IT and data science to govern individual and organizational performance. Largely centered on performance measurement, data-driven accountability tools are used to engineer work processes according to best practices and transfer policy to practice through tying quantitative outcomes to consequential valuation schemes. In this early work, we present preliminary insights from a multi-sited ethnography of ongoing development of infrastructure for data science being developed for purposes of organizational accountability in the healthcare. The aim is to describe key concerns in the design of ‘infrastructure for accountability’ (consisting of the array IT, organizations, organizational relationships, standards, and roles being developed to undergird performance measurement). Some initial considerations for design of infrastructure for accountability include dual functions of the data, communication hierarchy, emergent seams, and bridging installed bases and communities of practice. This research has implications for researchers, designers, and managers of infrastructure for accountability, as well contributing ethnographic empirical insights into social and organizational implications of creating the data-driven world.
Issue Date:2015-03-15
Series/Report:iConference 2015 Proceedings
Genre:Conference Paper / Presentation
Peer Reviewed:yes
Rights Information:Copyright 2015 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.
Date Available in IDEALS:2015-03-23

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