%0 Conference Paper %1 Simmhan:sciflow:2006 %A Simmhan, Yogesh L. %A Plale, Beth %A Gannon, Dennis %B Workshop on Workflow and Data Flow for Scientific Applications (SciFlow) %D 2006 %I IEEE %K escience, iu, karma, paper, peer provenance, reviewed short workflows, %P 1--4 %R 10.1109/ICDEW.2006.150 %T Towards a Quality Model for Effective Data Selection in Collaboratories %X 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, and increases community’s trust in derived data.

@inproceedings{Simmhan:sciflow:2006, 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, and increases community’s trust in derived data.}, added-at = {2023-04-07T07:37:58.000+0200}, author = {Simmhan, Yogesh L. and Plale, Beth and Gannon, Dennis}, biburl = {https://www.bibsonomy.org/bibtex/2034d90a87c930386a1f60615b005c927/vinayaka2000}, booktitle = {Workshop on Workflow and Data Flow for Scientific Applications (SciFlow)}, doi = {10.1109/ICDEW.2006.150}, interhash = {02604fc35d50e0a524c6d07bf3a17bd0}, intrahash = {034d90a87c930386a1f60615b005c927}, keywords = {escience, iu, karma, paper, peer provenance, reviewed short workflows,}, month = {April}, owner = {Simmhan}, pages = {1--4}, publisher = {IEEE}, series = {International Conference on Data Engineering Workshops}, timestamp = {2023-04-07T07:37:58.000+0200}, title = {Towards a Quality Model for Effective Data Selection in Collaboratories}, year = 2006 }