Sentence examples for data integration challenge from inspiring English sources

Data services can also help to resolve the application and data integration challenge that plagues today's enterprises.

The rapidly increasing number and diversity of small molecule-containing resources on the Internet presents an ongoing and time-consuming data integration challenge to those faced with data federation and maintaining links between equivalent chemical entities in these different resources.

Several databases have attempted to address this data integration challenge.

To address the data integration challenge in the protein kinase field, we previously reported the Protein Kinase Ontology (ProKinO, http://vulcan.cs.uga.edu/prokino) [Gosal et al., 2011a; Gosal et al., 2011b], which provides a controlled vocabulary of terms and relations linking data on protein kinase sequence, structure, function, pathway and disease.

Scalability, heterogeneity, and schema evolution are big data integration challenges that are addressed by SemLinker.

More work is needed to delineate practical data integration challenges with GIS and to propose recommendations for improved data management practices for the district.

In the client-server era, data integration pioneer Informatica became a giant by tackling tough data integration challenges and has maintained its edge by being positioned as a leader in the Gartner Data Integration Magic Quadrant eight years running.

The convenience methods provided by Brain should simplify the development of biomedical knowledge bases and allow developers to increase their productivity while effectively dealing with data integration challenges.

We needed a design that would resolve a range of data integration challenges while remaining flexible enough to accommodate future database extensibility, requiring increased complexity in the design and implementation of LAGOS.

From February to March 2013 we launched a web inquiry (see Additional file 1), that continued the survey initiated during the Omics and Data Integration Workshop, where we investigated major data-integration challenges for the research community in the field of life sciences.

Finally, data integration remains a challenge, and the semantic integration of -omics data will be further investigated.