Table 1 |
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|
Feature tradeoffs between platforms |
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|
Platforms |
||||||
|
Features |
CAISIS |
i2b2 |
SIMBioMS |
ISA |
Intermine |
LabKey Server |
|
|
||||||
|
Specimen requests |
+ |
- |
- |
- |
- |
+ |
|
Role-based permissions |
+ |
+ |
- |
- |
+ |
+ |
|
Built-in understanding of clinical study entities (e.g., participants and visits) |
+ |
+ |
+ |
- |
- |
+ |
|
Management of high-throughput assay results |
- |
- |
+ |
+ |
+ |
+ |
|
Wizards for collecting custom metadata for experiments |
+ |
+ |
+ |
+ |
- |
+ |
|
Result schemas (not just metadata) customizable through graphical interface |
+ |
- |
- |
- |
- |
+ |
|
Broad range of customizable, scientifically-relevant properties for every column of data |
- |
- |
- |
- |
- |
+ |
|
Graphical tools for setting up lookups between tables |
+ |
- |
- |
- |
- |
+ |
|
Complex queries on experimental results, not just metadata |
+ |
+ |
- |
- |
+ |
+ |
|
Libraries to support programmatic data manipulation and user interface creation from external code |
- |
+ |
- |
- |
+ |
+ |
|
Built-in user interface for scripting in R |
- |
- |
- |
- |
- |
+ |
|
Dynamic interaction with external data sources |
- |
- |
- |
- |
- |
+ |
|
|
||||||
|
This table compares LabKey Server with a representative sample of open source platforms for data integration. The focus of these platforms ranges from clinical research to high-throughput experiments. Documentation for many platforms is incomplete, so we can provide only a reasonable inference of feature availability. |
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|
Nelson et al. BMC Bioinformatics 2011 12:71 doi:10.1186/1471-2105-12-71 |
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