To complete large-scale clinical research, organizations must share data. Because institutional database schemas are inherently heterogeneous, they need a standard metadata representation in order to exchange and combine data for multi-center research. The AGNIS application (A Growable Network Information System) facilitates the exchange of hematopoietic cell transplantation outcomes data using data standards. However, adoption rates remain low due to a significant mapping burden. The AGNIS experience shows that developing a data standard is not enough. Tools and resources are needed to facilitate utilization of the standard.
|Original language||English (US)|
|Title of host publication||Data Integration in the Life Sciences - 11th International Conference, DILS 2015, Proceedings|
|Editors||Jose-Luis Ambite, Ashish N. Naveen|
|Number of pages||8|
|State||Published - 2015|
|Event||11th International Conference on Data Integration in the Life Sciences, DILS 2015 - Los Angeles, United States|
Duration: Jul 9 2015 → Jul 10 2015
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Other||11th International Conference on Data Integration in the Life Sciences, DILS 2015|
|Period||7/9/15 → 7/10/15|
Bibliographical noteFunding Information:
Support for this project was partially provided by contract ADB. No. N01-HC-45215 / HHSN268200425215C from the National Heart, Lung, and Blood Institute and the NMDP. Thanks are extended to all who reviewed the document and provided their thoughtful feedback. In addition, Kirt Schaper, Bridget Wakaruk, and Tony Wirth helped calculate the metrics gathered here.
© Springer International Publishing Switzerland 2015.
- Data integration
- Data standards
- Hematopoietic cell transplant outcomes data