Difference between revisions of "Scientific data management system"
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A '''scientific data management system''' (SDMS) is a piece or package of software that captures, catalogs, and archives data generated by [[laboratory]] instruments ([[HPLC]], [[mass spectrometry]]) and applications ([[LIMS]], analytical applications, [[electronic laboratory notebook]]s) in a compliant manner, serving platform-independent data to informatics applications and/or other consumers. | |||
As with many other [[laboratory informatics]] tools, the lines between a [[LIMS]], [[ELN]], and an SDMS are at times blurred. However, there are some essential qualities that an SDMS owns that distinguishes it from other informatics systems: | |||
1. While a LIMS has traditionally been built to handle structured, mostly homogeneous data, a SDMS (and systems like it) is built to handle unstructured, mostly heterogeneous data.<ref>{{cite web|url=http://www.scientificcomputing.com/considerations-for-management.aspx |title=Considerations for Management of Laboratory Data |publisher=Scientific Computing |date=2009-09-15 |accessdate=2011-05-04}}</ref> | |||
2. A SDMS typically acts as a seamless "wrapper" for other data systems like LIMS and ELN in the laboratory. | |||
3. A SDMS is best suited for data consolidation, knowledge management, and knowledge asset realization. <ref>Wood, Simon (2007). [http://www.starlims.com/AL-Wood-Reprint-9-07.pdf "Comprehensive Laboratory Informatics: A Multilayer Approach"], pp. 3.</ref> | |||
== Modern features of a SDMS == | |||
== References == | |||
<references /> | |||
Revision as of 15:03, 5 May 2011
A scientific data management system (SDMS) is a piece or package of software that captures, catalogs, and archives data generated by laboratory instruments (HPLC, mass spectrometry) and applications (LIMS, analytical applications, electronic laboratory notebooks) in a compliant manner, serving platform-independent data to informatics applications and/or other consumers.
As with many other laboratory informatics tools, the lines between a LIMS, ELN, and an SDMS are at times blurred. However, there are some essential qualities that an SDMS owns that distinguishes it from other informatics systems:
1. While a LIMS has traditionally been built to handle structured, mostly homogeneous data, a SDMS (and systems like it) is built to handle unstructured, mostly heterogeneous data.[1]
2. A SDMS typically acts as a seamless "wrapper" for other data systems like LIMS and ELN in the laboratory.
3. A SDMS is best suited for data consolidation, knowledge management, and knowledge asset realization. [2]
Modern features of a SDMS
References
- ↑ "Considerations for Management of Laboratory Data". Scientific Computing. 15 September 2009. http://www.scientificcomputing.com/considerations-for-management.aspx. Retrieved 2011-05-04.
- ↑ Wood, Simon (2007). "Comprehensive Laboratory Informatics: A Multilayer Approach", pp. 3.
