Data Integration

TODO: general introduction to BIRN idea of ‘data integration’

Structured Queries Across Heterogeneous Data Sources

A new mediator tool will allow investigators to pose structured queries (using metadata terms) across multiple data repositories. The tool will negotiate the metadata syntax used in the query and the repositories and translate terms appropriately to enable retrieval of relevant data from all specified repositories.

Status: In development (forecast for early 2010)

Contact: Jose-Luis Ambite (ambite at isi dot edu)

Clinical Data Extraction

This new tool provides a vendor-neutral mechanism for communicating medical image, diagnosis, and related data between health care providers. It creates an abstract layer between data, meta-data, and Grid users for linking multiple DICOM storage service provides (SSP) (Repositories) and meta catalog databases (Registries). This mechanism is decoupled from the health provider databases, networks, and IT resources, so it does not interfere with mission critical clinical workflows, but extends image workflows and knowledge discovery to the research community.

Status: In development (forecast for early 2010)

Contact: TODO gully or jose luis?

BIRN is supported by NIH grants U24-RR019701, U24-RR021992, U24-RR021760 and by NIH Community Service Award 123456789.
 
BIRN – Biomedical Informatics Research Network |  Data Integration

Data Integration

TODO: general introduction to BIRN idea of ‘data integration’

Structured Queries Across Heterogeneous Data Sources

A new mediator tool will allow investigators to pose structured queries (using metadata terms) across multiple data repositories. The tool will negotiate the metadata syntax used in the query and the repositories and translate terms appropriately to enable retrieval of relevant data from all specified repositories.

Status: In development (forecast for early 2010)

Contact: Jose-Luis Ambite (ambite at isi dot edu)

Clinical Data Extraction

This new tool provides a vendor-neutral mechanism for communicating medical image, diagnosis, and related data between health care providers. It creates an abstract layer between data, meta-data, and Grid users for linking multiple DICOM storage service provides (SSP) (Repositories) and meta catalog databases (Registries). This mechanism is decoupled from the health provider databases, networks, and IT resources, so it does not interfere with mission critical clinical workflows, but extends image workflows and knowledge discovery to the research community.

Status: In development (forecast for early 2010)

Contact: TODO gully or jose luis?

BIRN is supported by NIH grants U24-RR019701, U24-RR021992, U24-RR021760 and by NIH Community Service Award 123456789.
 
BIRN – Biomedical Informatics Research Network |  Data Integration

Data Integration

TODO: general introduction to BIRN idea of ‘data integration’

Structured Queries Across Heterogeneous Data Sources

A new mediator tool will allow investigators to pose structured queries (using metadata terms) across multiple data repositories. The tool will negotiate the metadata syntax used in the query and the repositories and translate terms appropriately to enable retrieval of relevant data from all specified repositories.

Status: In development (forecast for early 2010)

Contact: Jose-Luis Ambite (ambite at isi dot edu)

Clinical Data Extraction

This new tool provides a vendor-neutral mechanism for communicating medical image, diagnosis, and related data between health care providers. It creates an abstract layer between data, meta-data, and Grid users for linking multiple DICOM storage service provides (SSP) (Repositories) and meta catalog databases (Registries). This mechanism is decoupled from the health provider databases, networks, and IT resources, so it does not interfere with mission critical clinical workflows, but extends image workflows and knowledge discovery to the research community.

Status: In development (forecast for early 2010)

Contact: TODO gully or jose luis?

BIRN is supported by NIH grants U24-RR019701, U24-RR021992, U24-RR021760 and by NIH Community Service Award 123456789.