Li101 enterprise class_systems

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  • Li101 enterprise class_systems

    1. 1. Enterprise Class Systems In the Laboratory Ecosystem
    2. 2. The Place to Go• http://limswiki.org• A free encyclopedia of Laboratory Informatics terminology, vendors, etc.• Started in 2011, already has 412 content pages.
    3. 3. LIMS• Laboratory Information Management• Initial Goal of LIMS was sample management• Test definition and test results were part of the early scope• Systems quickly expanded to include other functions - sample inventory, storage, stability, batch management, plate management and much more
    4. 4. Clinical Laboratory Systems• Currently differentiated at LIMSWiki• Patient Centric• Accessioning capabilities
    5. 5. Key Points about LIMS Sample Centric Simple Sample/Result RelationshipFacilitates cross-sample statistical comparison
    6. 6. More Complex Data• Analytical methods grew increasingly complex• Each sample could generate a complex intertwining data set, also involving other samples• Single value results are not always the goal• Drove the need for a different tool
    7. 7. SDMS• A Document Management system for laboratory data. (http://limswiki.org/index.php/ SDMS)• The forté of these systems is handling unstructured, heterogenous data.• Includes raw data files as well as printed reports
    8. 8. SDMS Functions
    9. 9. SDMS FunctionsAnalysis
    10. 10. SDMS Functions Print ed Ou tputAnalysis
    11. 11. SDMS Functions Print e d Ou tputAnalysis les wD ata Fi Ra
    12. 12. SDMS Functions Metadata Extraction Print e d Ou tputAnalysis les wD ata Fi Ra
    13. 13. SDMS Functions Metadata Extraction Print e d Ou tputAnalysis SDMS les wD ata Fi Ra
    14. 14. SDMS Data Types• Metadata = Structure Data• Printed Data and Raw Data Files = Unstructured Data• Structured data permits queries and connectivity to other systems
    15. 15. Electronic Laboratory Notebook
    16. 16. Electronic Laboratory Notebook• Simplest definition is an electronic version of the traditional paper notebook
    17. 17. Electronic Laboratory Notebook• Simplest definition is an electronic version of the traditional paper notebook• However, notebooks come in very different flavors...
    18. 18. Electronic Laboratory Notebook• Simplest definition is an electronic version of the traditional paper notebook• However, notebooks come in very different flavors... Free-form ResearchAlexander Graham Bell’s Notebook
    19. 19. Electronic Laboratory Notebook• Simplest definition is an electronic version of the traditional paper notebook• However, notebooks come in very different flavors... Free-form ResearchAlexander Graham Bell’s Notebook
    20. 20. Electronic Laboratory Notebook• Simplest definition is an electronic version of the traditional paper notebook• However, notebooks come in very different flavors... Free-form Research Standardized FormsAlexander Graham Bell’s Notebook
    21. 21. Notebooks or Portals?
    22. 22. Notebooks or Portals?• Confusion exists as to whether the ELN is a data collection tool or a portal
    23. 23. Notebooks or Portals?• Confusion exists as to whether the ELN is a data collection tool or a portal• The answer to the question is ...
    24. 24. Notebooks or Portals?• Confusion exists as to whether the ELN is a data collection tool or a portal• The answer to the question is ...• Yes
    25. 25. Notebooks or Portals?• Confusion exists as to whether the ELN is a data collection tool or a portal• The answer to the question is ...• Yes• That is, it depends on your needs
    26. 26. Chromatography Data Systems• Systems for controlling multiple instruments (not strictly chromatography instruments any longer)• Generally provides an rdbms backend with sample information, instrument information, run method information, and frequently data (although this is sometimes maintained as separate files)
    27. 27. Nomenclature Challenges• Each of the system discussed can contain duplicate information, and they generally do• This duplication leads to lack of clarity about which system is doing what• LIMSWiki.org hopes to bring some order to this
    28. 28. Thinking to Avoid
    29. 29. Thinking to Avoid• Normalization is king
    30. 30. Thinking to Avoid• Normalization is king• There must be one defined hub in this network(see http://www.starlims.com/AL- Wood-Reprint-9-07.pdf)
    31. 31. Thinking to Avoid• Normalization is king• There must be one defined hub in this network(see http://www.starlims.com/AL- Wood-Reprint-9-07.pdf)• LIMS is intended to handle all laboratory information

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