Drowning in data: digital library architecture to support scientific use of embedded sensor networks
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
From writing and analysis to the repository: taking the scholars' perspective on scholarly archiving
Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries
An integrated system for publishing environmental observations data
Environmental Modelling & Software
From artifacts to aggregations: Modeling scientific life cycles on the semantic Web
Journal of the American Society for Information Science and Technology
Digital libraries for scientific data discovery and reuse: from vision to practical reality
Proceedings of the 10th annual joint conference on Digital libraries
ICADL'10 Proceedings of the role of digital libraries in a time of global change, and 12th international conference on Asia-Pacific digital libraries
Relating data practices, types, and curation functions: an empirically derived framework
Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem - Volume 47
Proceedings of the 2011 iConference
Analytic potential of data: assessing reuse value
Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
Exploring the rhythms of scientific data use
Proceedings of the 2012 iConference
Proceedings of the 2012 iConference
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The conundrum of sharing research data
Journal of the American Society for Information Science and Technology
Data, data use, and scientific inquiry: two case studies of data practices
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
Content-based layouts for exploratory metadata search in scientific research data
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
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
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e-Science promises to increase the pace of science via fast, distributed access to computational resources, analytical tools, and digital libraries. “Big science” fields such as physics and astronomy that collaborate around expensive instrumentation have constructed shared digital libraries to manage their data and documents, while “little science” research areas that gather data through hand-crafted fieldwork continue to manage their data locally. As habitat ecology researchers begin to deploy embedded sensor networks, they are confronting an array of challenges in capturing, organizing, and managing large amounts of data. The scientists and their partners in computer science and engineering make use of common datasets but interpret the data differently. Studies of this field in transition offer insights into the role of digital libraries in e-Science, how data practices evolve as science becomes more instrumented, and how scientists, computer scientists, and engineers collaborate around data. Among the lessons learned are that data on the same variables are gathered by multiple means, that data exist in many states and in many places, and that publication practices often drive data collection practices. Data sharing is embraced in principle but little sharing actually occurs, due to interrelated factors such as lack of demand, lack of standards, and concerns about publication, ownership, data quality, and ethics. We explore the implications of these findings for data policy and digital library architecture. Research reported here is affiliated with the Center for Embedded Networked Sensing.