Skip to main content
Log in

MIMI: Multimodality, Multiresource, Information Integration Environment for Biomedical Core Facilities

  • Published:
Journal of Digital Imaging Aims and scope Submit manuscript

Abstract

The rapid expansion of biomedical research has brought substantial scientific and administrative data management challenges to modern core facilities. Scientifically, a core facility must be able to manage experimental workflow and the corresponding set of large and complex scientific data. It must also disseminate experimental data to relevant researchers in a secure and expedient manner that facilitates collaboration and provides support for data interpretation and analysis. Administratively, a core facility must be able to manage the scheduling of its equipment and to maintain a flexible and effective billing system to track material, resource, and personnel costs and charge for services to sustain its operation. It must also have the ability to regularly monitor the usage and performance of its equipment and to provide summary statistics on resources spent on different categories of research. To address these informatics challenges, we introduce a comprehensive system called MIMI (multimodality, multiresource, information integration environment) that integrates the administrative and scientific support of a core facility into a single web-based environment. We report the design, development, and deployment experience of a baseline MIMI system at an imaging core facility and discuss the general applicability of such a system in other types of core facilities. These initial results suggest that MIMI will be a unique, cost-effective approach to addressing the informatics infrastructure needs of core facilities and similar research laboratories.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig 1.
Fig 2.
Fig 3.
Fig 4.
Fig 5.

Similar content being viewed by others

References

  1. Schultz C, Weissleder R, Pivovarov, M, Mahmood U, Bhandary G, Datta D, Owens S, Hengerer A, Zahlmann G, Brett D, Rechid R, Naraghi M: Molecular imaging portal: new development it platform for imaging, nonimaging, and genomics. Siemens Med Solut Mag 4:71–77, 2005

    Google Scholar 

  2. McDonald J, Schadow G, Barnes M, Dexter P, Overhage J, Mamlin B, McCoy J: Open source software in medical informatics—why, how and what. Int J Med Inform 69:175–184, 2003

    Article  PubMed  Google Scholar 

  3. Thiruvathukal G, Laufer K: Plone and content management. Comput Sci Eng 6:88–95, 2004

    Article  Google Scholar 

  4. Meyer E: Cascading Style Sheets: The Definitive Guide. Sebastopol: O’Reilly Media, 2000

    Google Scholar 

  5. Zhang G-Q, White L, Hesse C, Buchner M, Mehregany M: Roadmap for a departmental website. Educause Q 28:68–72, 2005

    CAS  Google Scholar 

  6. Cockburn A: Agile Software Development: the Cooperative Game (2nd edition). Reading: Addison-Wesley, 2006

    Google Scholar 

  7. Levy M: Web programming in Guide. Softw Pract Exp 28:1581–1603, 1998

    Article  Google Scholar 

  8. Richardson J: Bugs in the Web. Comput Secur 16:332–333, 1997

    Google Scholar 

  9. Sammon D, Finnegan P: The ten commandments of data warehousing. ACM SIGMIS DB 31:82–91, 2000

    Article  Google Scholar 

  10. Eshuis R: Symbolic model checking of UML activity diagrams. ACM Trans Softw Eng Methodol 15:1–38, 2006

    Article  Google Scholar 

  11. Grady C: A comparative cost analysis of an integrated military telemental health-care service. Telemed J E-Health 8:293–300, 2002

    Article  PubMed  Google Scholar 

  12. Huang K, Wong S, Pietka E: Medical image informatics infrastructure design and applications. Med Inform 22:279–289, 1997

    Article  CAS  Google Scholar 

  13. Erdogmus H, Bauldock B: Cost–benefit analysis of software development techniques and practices. In: Companion Conference Proceedings of the 29th International Conference on Software Engineering, 2007, pp 178–179

Download references

Acknowledgments

We would like to thank the following faculty and staff members for feedback, support, and encouragement during the development of this project: Chris Flask, Raymond Muzic, Janet Schiciano, Joan Schenkel, Jeff Duerk, Mark Chance, Stan Gerson, James Jacobberger, Anne Duli, Keiji Takamoto, Adam Troy, and Gurkan Bebek. This project is partially funded by support from NIH K25EB004467, CCIR, Case Center for Proteomics, and Case Comprehensive Cancer Center.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jacek Szymanski.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Szymanski, J., Wilson, D.L. & Zhang, GQ. MIMI: Multimodality, Multiresource, Information Integration Environment for Biomedical Core Facilities. J Digit Imaging 22, 535–547 (2009). https://doi.org/10.1007/s10278-007-9083-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10278-007-9083-y

Key words

Navigation