Scientific instruments, such as radio telescopes, colliders, sensor networks, and simulators generate very high volumes of data streams that scientists analyze to detect and under...
For users to trust and interpret the data in scientific digital libraries, they must be able to assess the integrity of those data. Criteria for data integrity vary by context, by ...
Jillian C. Wallis, Christine L. Borgman, Matthew S...
Curated databases in bioinformatics and other disciplines are the result of a great deal of manual annotation, correction and transfer of data from other sources. Provenance infor...
In many scientific domains, experimental devices or simulation programs generate large volumes of data. The volumes of data may reach hundreds of terabytes and therefore it is imp...
Arie Shoshani, Luis M. Bernardo, Henrik Nordberg, ...
Abstract. As scientists continue to migrate their work to computational methods, it is important to track not only the steps involved in the computation but also the data consumed ...
David Koop, Emanuele Santos, Bela Bauer, Matthias ...