Social media data offer researchers new opportunities to leverage those data for their work in broad areas such as public opinion, digital culture, labor trends, and public health. Success of efforts to save social media data for reuse by researchers will depend on aligning data management and archiving practices with evolving norms around capture, use, sharing, and security of datasets containing this new type of data. This paper presents an initial foray into understanding how established practices for managing and preserving data should adapt to new demands from social media data, researchers who use and reuse social media data, and people who are subjects in social media data. We examine the data management practices of researchers who use social media data through a survey and an analysis of published articles. We discuss the data management practices described, how they differ from management of more conventional data types, and the implications for creating and maintaining stable archives for these important research resources. We discuss the similarities and differences between social media data and other types of social science research data, including other types of “found” data, and discuss the implications for data archives including social media data in their collections.National Science FoundationInstitute of Museum and Library Serviceshttps://deepblue.lib.umich.edu/bitstream/2027.42/154750/1/Hemphill Leonard Hedstrom JASIST pre-peer review.pdf1550Description of Hemphill Leonard Hedstrom JASIST pre-peer review.pdf : Pre-peer review articl
