Otegui Javier, Guralnick Robert P
Florida Museum of Natural History, University of Florida, Gainesville, FL, USA.
Bioinformatics. 2016 Jun 1;32(11):1755-7. doi: 10.1093/bioinformatics/btw057. Epub 2016 Feb 1.
We present a REST web service to assess the geospatial quality of primary biodiversity data. It enables access to basic and advanced functions to detect completeness and consistency issues as well as general errors in the provided record or set of records. The API uses JSON for data interchange and efficient parallelization techniques for fast assessments of large datasets.
The Geospatial Data Quality API is part of the VertNet set of APIs. It can be accessed at http://api-geospatial.vertnet-portal.appspot.com/geospatial and is already implemented in the VertNet data portal for quality reporting. Source code is freely available under GPL license from http://www.github.com/vertnet/api-geospatial
javier.otegui@gmail.com or rguralnick@flmnh.ufl.edu
Supplementary data are available at Bioinformatics online.
我们展示了一个用于评估主要生物多样性数据地理空间质量的REST网络服务。它能够访问基本和高级功能,以检测所提供记录或记录集的完整性和一致性问题以及一般错误。该应用程序编程接口(API)使用JSON进行数据交换,并采用高效的并行化技术对大型数据集进行快速评估。
地理空间数据质量API是VertNet API集的一部分。可通过http://api-geospatial.vertnet-portal.appspot.com/geospatial访问,并且已在VertNet数据门户中实现用于质量报告。源代码可根据GPL许可从http://www.github.com/vertnet/api-geospatial免费获取。
javier.otegui@gmail.com或rguralnick@flmnh.ufl.edu
补充数据可在《生物信息学》在线获取。