Social informatics of data norms

Chase McCoy; Michael Marcinkowski; Steve Sawyer; Madelyn R. Sanfilippo; Eric T. Meyer; Howard Rosenbaum

doi:10.1002/pra2.2016.14505301014

Social informatics of data norms

Chase McCoy, Michael Marcinkowski, Steve Sawyer, Madelyn R. Sanfilippo, Eric T. Meyer, Howard Rosenbaum

School of Information Studies

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

Big data has been widely promoted across disciplines and sectors for its potential to enhance lives and promote knowledge discovery. However, challenges arise at all stages of the data lifecycle due to the complexity of interactions between data and the contexts within which they are collected and managed, which has implications for interpretations of this data and eventual use of information and the creation of knowledge products from these data. Starting from the perspective of social informatics, this panel will discuss: the reciprocal relationships between data and context; specific challenges in distinct stages of data generation, data repository implementation, data curation, data use, and data reproducibility; and the implications of these challenges and their potential solutions for both social informatics research and society in general.

Original language	English (US)
Pages (from-to)	1-4
Number of pages	4
Journal	Proceedings of the Association for Information Science and Technology
Volume	53
Issue number	1
DOIs	https://doi.org/10.1002/pra2.2016.14505301014
State	Published - 2016

Keywords

Big data
challenges
information institutions
social informatics

ASJC Scopus subject areas

General Computer Science
Library and Information Sciences

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10.1002/pra2.2016.14505301014

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Social informatics of data norms

Abstract

Keywords

ASJC Scopus subject areas

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