HUB Application for Managing Experimental Knowledge

By Girish S Joglekar; Arun Giridhar; Michael McLennan1; George A Howlett1; Rex Reklaitis

1. Purdue University

Category

Seminars

Published on

Abstract

Experimentation is an integral part of any engineering or science-based knowledge creation activity. Moreover, the data generated by a systematic set of experiments are the foundation for the generalizations which constitute the derived knowledge. For the purpose of completeness, validation, reproducibility and future use, it is critical that all experimental data be stored systematically, be sharable and be machine interpretable. Research organizations engaged in experimental work typically do provide "Data Management" plans which define the process for access to data. However, very often the interpretation of data is very difficult because the complete provenance of the data is not recorded. Over the past 5 years sophisticated tools such as Electronic Lab Notebooks (ELN) and Laboratory Information Management Systems (LIMS) have become available. These tools are very expensive and/or do not provide the complete information for easy access to data.

We have developed an experimental knowledge management system, which is based on the HUBzero platform and uses a unique workflow model to fully capture the provenance of the data. In addition, the workflow model assists the experimenter in adhering to the standard operating procedure agreed-upon prior to the initiation of the experimental campaign and in ensuring that the stipulated information is collected. A graphical tool that works on HUBzero was developed to build workflow models of any underlying experimental procedure. A database schema that uses the entity-attribute-value (EAV) model was designed to define the tables and attributes associated with the building blocks of the workflow. The workflow template provides a unique signature for an experiment which can be used in sharing information as well as accessing information. In this paper, we will illustrate the various aspects of this knowledge management system using a lab-scale pharmaceutical manufacturing line at Purdue University.

Bio

Girish S. Joglekar is a Senior Research Scientist with the Engineering Research Center for Structured Organic Particulate Systems (ERC-SOPS) at Purdue University. He has a Ph.D. in Chemical Engineering and M.S. in Computer Science from Syracuse University. Before coming to Purdue he was the President of Batch Process Technologies, Inc., a software development company specializing in discrete and dynamic simulation of recipe driven chemical processes. While at BPTech, he was also responsible for providing custom solutions to clients. Since joining Purdue in 2009, he has worked on developing ontology based and HUB based knowledge management technologies which support the research groups within the ERC. He has more than 25 publications.

Cite this work

Researchers should cite this work as follows:

  • Girish S Joglekar; Arun Giridhar; Michael McLennan; George A Howlett; Rex Reklaitis (2013), "HUB Application for Managing Experimental Knowledge," https://help.hubzero.org/resources/1012.

    BibTex | EndNote

Submitter

Nikki Huang

Purdue University

Tags

HUB Application for Managing Experimental Knowledge
  • HUB Application for Managing Experimental Knowledge 1. HUB Application for Managing E… 0
    00:00/00:00
  • Outline 2. Outline 67.167167167167165
    00:00/00:00
  • Experiment 3. Experiment 68.568568568568566
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  • Forms of Experimental Procedure and Data 4. Forms of Experimental Procedur… 121.32132132132132
    00:00/00:00
  • Requirements of 'Good Data' 5. Requirements of 'Good Data' 158.82549215882551
    00:00/00:00
  • Objective 6. Objective 221.5548882215549
    00:00/00:00
  • Workflow 7. Workflow 246.94694694694695
    00:00/00:00
  • Sample Workflow 8. Sample Workflow 356.45645645645646
    00:00/00:00
  • Benefits of Workflow Based Approach 9. Benefits of Workflow Based App… 485.05171838505174
    00:00/00:00
  • KM System Details 10. KM System Details 540.77410744077417
    00:00/00:00
  • KM System Components 11. KM System Components 627.42742742742746
    00:00/00:00
  • Workflow Builder 12. Workflow Builder 655.45545545545554
    00:00/00:00
  • Outline 13. Outline 662.7961294627961
    00:00/00:00
  • Workflow Builder 14. Workflow Builder 685.0517183850518
    00:00/00:00
  • Workflow Builder 15. Workflow Builder 785.18518518518522
    00:00/00:00
  • Drop-on-Demand Lab Production Facility At Purdue 16. Drop-on-Demand Lab Production … 807.14047380714055
    00:00/00:00
  • Capturing Details 17. Capturing Details 838.00467133800475
    00:00/00:00
  • Recording a Run 18. Recording a Run 885.55221888555229
    00:00/00:00
  • Recording a Run (Contd) 19. Recording a Run (Contd) 898.03136469803144
    00:00/00:00
  • Browsing and Extracting Information 20. Browsing and Extracting Inform… 922.42242242242241
    00:00/00:00
  • Extracting Parameters 21. Extracting Parameters 959.52619285952619
    00:00/00:00
  • Graphing Data 22. Graphing Data 994.96162829496166
    00:00/00:00
  • Summary 23. Summary 1026.2929596262929
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