Changes in access to data are leading to rapid 'data wealth' in some scientific fields, even as others remain 'data-poor'. Furthermore, the current attention towards developing computer-based infrastructures and digital access to common data sets - the basics of scientific 'cyberinfrastructures' - are too-focused on fields of study characterized by data wealth. To better understand the implications of this twin pursuit of data wealth and cyberinfrastructure, I articulate how data-poor scholarly fields differ from data-rich fields. I then suggest four actions that scholars in data-poor fields can take to improve their work's value to science and society in lieu of being data-rich and propose three design considerations for cyberinfrastructures that can better support data-poor scholarly endeavors.
ASJC Scopus subject areas
- Earth-Surface Processes
- Research and Theory
- Management of Technology and Innovation
- Strategy and Management