PROJECTS

Project Member:

• Sample frame development
• Survey design and administration
• Data cleaning and management
• Development of codebook and project report

Project Manager:

• Responsible for developing interview protocol 
• Scheduling and conducting interviews with other team members 
• Analyzing data 
• Developing a governance framework for ECOFFEE
• Presenting proposed solutions to industry leaders

Linking institutional logics and data sharing to research outputs before and after SARS-CoV-2 peak infection – PI: Eric Welch, ASU & Federica Fusi, UIC

Project Manager 

• Management of IRB submission
• Support project through sample frame development
• Survey design and administration
• Data cleaning and management
• Development of codebook and project report

The ability of scientists to access and share data relevant for COVID-19 research (e.g., genomics data, sequences and strains, surveillance data, protein structures) is critical for understanding the virus and ultimately developing therapeutics and vaccines. Access to and sharing of data will have a significant effect on the amount of knowledge produced and the speed of discovery, both of which impact public health in the US. Early reports attest to record-breaking scientific collaboration and data sharing, but in the long run data access and sharing will greatly depend on the confluence of scientists? values, beliefs and practices, as well as the governance and management of the repositories curating the data. This research investigates how scientists? data access and sharing preferences and behaviors change over the course of the COVID-19 pandemic, as research moves from early crisis response to concrete opportunities for visibility, reputation, and innovation. Early in the crisis, we expect that the research community will use repositories with governance models that maximize open sharing of data. But as knowledge builds, general understanding of the virus increases, and the number of cases plateaus, we expect to see a shift, with researchers becoming more selective in how, when, and where they share their data. This project investigates how and why these change occur in order to design data governance solutions that maximize the community response to public crises, minimize delays in global collaboration and data sharing, and ultimately lead to research production and innovation. 

SciOPS is a new type of science, technology, and innovation (STI) knowledge commons that changes fundamentally the way science information is generated and consumed to promote the democratization of science understanding in society. SciOPS aims to disrupt and improve the current flawed system of information exchange between the STI community, the public and other key stakeholders.

SciOPS conducts brief, frequent, rapidly deployed surveys administered to members of a large standing panel of thousands of STI experts in universities, industry and government. It then delivers results on a web-based platform in infographic form and provides tools for the public to interact with the data. The platform provides a place where a variety of users – regardless of background knowledge, demographics, or expertise – can receive unbrokered, balanced, and informed expert input on scientific discoveries, trending issues, and emerging technologies.

SciOPS was created by Arizona State University’s Center for Science, Technology and Environmental Policy Studies in collaboration with experts in various fields including science policy, user experience, and survey design. A multidisciplinary content advisory panel will provide insight on strategy, themes and topics, while a technical advisory review committee informs question design and survey methodology. 

The project is a partnership between ASU, the University of Iowa and godaddy.com and aims at understanding  the role of broadband access and the density of domains on local prosperity and opportunity. This research has been featured in the New York Times and the Brookings Institute.

Project Manager

• Management of IRB submission
• Support project through sample frame development
• Survey design and administration
• Data cleaning and management
• Development of codebook and project report