Towards a Quality Model for Effective Data Selection in Collaboratories Export

@misc{citeulike:1378773, abstract = {Data-driven scientific applications utilize workflow frameworks to execute complex dataflows, resulting in derived data products of unknown quality. We discuss our on-going research on a quality model that provides users with an integrated estimate of the data quality that is tuned to their application needs and is available as a numerical quality score that enables uniform comparison of datasets, providing a way for the community to trust derived data.}, author = {Beth, Yogesh S.}, citeulike-article-id = {1378773}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.1311}, keywords = {data-selection, karma, model, quality}, posted-at = {2007-06-11 15:29:53}, priority = {3}, title = {Towards a Quality Model for Effective Data Selection in Collaboratories}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.1311} }

TY - GEN ID - citeulike:1378773 L3 - citeulike-article-id:1378773 N2 - Data-driven scientific applications utilize workflow frameworks to execute complex dataflows, resulting in derived data products of unknown quality. We discuss our on-going research on a quality model that provides users with an integrated estimate of the data quality that is tuned to their application needs and is available as a numerical quality score that enables uniform comparison of datasets, providing a way for the community to trust derived data. TI - Towards a Quality Model for Effective Data Selection in Collaboratories KW - data-selection KW - karma KW - model KW - quality AU - Beth, Yogesh UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.1311 ER -