Chase McCoy, Indiana University, Bloomington
Madelyn Rose Sanfilippo, Indiana University, Bloomington Michael Marcinkowski, Bath Spa University, England
Eric T. Meyer, University of Oxford, England
Steve Sawyer, Syracuse University
Howard Rosenbaum, Indiana University, Bloomington
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.