Cooperative knowledge work and practices of trust: sharing environmental planning data sets
CSCW '98 Proceedings of the 1998 ACM conference on Computer supported cooperative work
Document structure and digital libraries: how researchers mobilize information in journal articles
Information Processing and Management: an International Journal - Special issue on progress toward digital libraries
Data at work: supporting sharing in science and engineering
GROUP '03 Proceedings of the 2003 international ACM SIGGROUP conference on Supporting group work
Collaboration and Trust in Healthcare Innovation: The eDiaMoND Case Study
Computer Supported Cooperative Work
Toward a Theory of Knowledge Reuse: Types of Knowledge Reuse Situations and Factors in Reuse Success
Journal of Management Information Systems
Not by metadata alone: the use of diverse forms of knowledge to locate data for reuse
International Journal on Digital Libraries
Scholarship in the Digital Age: Information, Infrastructure, and the Internet
Scholarship in the Digital Age: Information, Infrastructure, and the Internet
Journal of the American Society for Information Science and Technology
Querying and re-using workflows with VsTrails
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Provenance and scientific workflows: challenges and opportunities
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
myExperiment: Defining the Social Virtual Research Environment
ESCIENCE '08 Proceedings of the 2008 Fourth IEEE International Conference on eScience
Managing rapidly-evolving scientific workflows
IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
Know thy sensor: trust, data quality, and data integrity in scientific digital libraries
ECDL'07 Proceedings of the 11th European conference on Research and Advanced Technology for Digital Libraries
Sociotechnical Studies of Cyberinfrastructure and e-Research: Current Themes and Future Trajectories
Computer Supported Cooperative Work
Analytic potential of data: assessing reuse value
Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
Beyond data sharing: artifact ecology of a collaborative nanophotonics research centre
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
The conundrum of sharing research data
Journal of the American Society for Information Science and Technology
Beyond trust and reliability: reusing data in collaborative cancer epidemiology research
Proceedings of the 2013 conference on Computer supported cooperative work
Why CSCW needs science policy (and vice versa)
Proceedings of the 2013 conference on Computer supported cooperative work
The challenges of digging data: a study of context in archaeological data reuse
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
The kernel of a research infrastructure
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
Supporting Scientific Collaboration: Methods, Tools and Concepts
Computer Supported Cooperative Work
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Investments in cyberinfrastructure and e-Science initiatives are motivated by the desire to accelerate scientific discovery. Always viewed as a foundation of science, data sharing is appropriately seen as critical to the success of such initiatives, but new technologies supporting increasingly data-intensive and collaborative science raise significant challenges and opportunities. Overcoming the technical and social challenges to broader data sharing is a common and important research objective, but increasing the supply and accessibility of scientific data is no guarantee data will be applied by scientists. Before reusing data created by others, scientists need to assess the data's relevance, they seek confidence the data can be understood, and they must trust the data. Using interview data from earthquake engineering researchers affiliated with the George E. Brown, Jr. Network for Earthquake Engineering Simulation (NEES), we examine how these scientists assess the reusability of colleagues' experimental data for model validation.