1 / 36

Positioning the University of Minnesota’s Research CyberInfrastructure : The Research CyberInfrastructure Alliance a

Positioning the University of Minnesota’s Research CyberInfrastructure : The Research CyberInfrastructure Alliance as a Virtual Organization. CSG Spring 2008. Presentation Objective. ‘Alliance Thinking’ as a means to a Virtual Organization (VO). Common Vision and Purpose.

betty_james
Download Presentation

Positioning the University of Minnesota’s Research CyberInfrastructure : The Research CyberInfrastructure Alliance a

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Positioning the University of Minnesota’s Research CyberInfrastructure: The Research CyberInfrastructure Alliance as a Virtual Organization CSG Spring 2008

  2. Presentation Objective • ‘Alliance Thinking’ as a means to a Virtual Organization (VO). • Common Vision and Purpose. • Objective Researcher Consultation • Current Activity • Summative Thoughts

  3. RCA: Technical team • Academic Health Center • College of Liberal Arts • Minnesota Supercomputer Institute • Libraries • Office of the VP for Research • Office of Information Technology • Consultant

  4. Alliance Indicators Develop the right working relationship Create “means” metrics Information sharing Speed of decision making / clarity Embrace differences Document strengths/competencies of each group Enable collaborative behavior Share information Emphasis on inquiry rather than judgment Communicate issues jointly to senior execs for resolution Manage internal stakeholders From: “Simple Rules for Making Alliances Work.” J. Hughes & J. Weiss. Harvard Business Review, November 2007.

  5. AllianceIndicators: Assessing Readiness Readiness Build the Blue-Print Vision – Greater social good? Description – What and how will this affect my institution? Beliefs – What are the guiding foundational principles? Assumptions – What can my institution assume we can achieve together as an outcome? Operations – How will it work? Is it feasible? -Duin & Baer, 2005

  6. AllianceIndicators: Assessing Readiness cont. Blueprint Cont. Commitment – Are multiple levels committed to it? Are levels of trust and covenants in place? Collaboration – Are collaboration and cooperation more important than hierarchy and competition? How do we know this? Control – Who has control? Who has the authority? Where are clear lines drawn? Adaptation – Are we willing to alter the direction, structure, and operations to support the partnership? Can partners adapt in order to accept and operate in a blended environment of values, purposes, missions and outcomes? -Duin & Baer, 2005

  7. What is Cyberinfrastructure? Information Technology resources used by researchers, clinicians, engineers, and artists in the creation of new knowledge.

  8. What is Cyberinfrastructure? Used as a term by the National Science Foundation and a host of nationally-prominent agencies, cyberinfrastructure includes the information technology resources used by researchers, clinicians, engineers, and artists in the creation of new knowledge. It includes the instruments, sensors, high performance computational systems, massive storage systems, data resources, and visualization facilities, tied together by high speed networks and made to work together by advanced software to accomplish goals that would not be possible by any single information technology system. It also includes the people, processes, training, security, policies, and capabilities to sustain the systems and networks over time.

  9. RCA Goal • To position the University to enable • computationally intensive, interdisciplinary research for the 21st Century.

  10. RCA Principles • Align with NSF • Preserve positive local ownership while leveraging expertise across the U • Open channels of communication • Create a coordinated research approach • Provide a consistent outstanding faculty (researcher) experience

  11. RCA Alignment • Exceptional Faculty: to make this a “win” for faculty • Create a robust culture of collaboration that encourages and rewards boldness, imagination, and innovation. • Exceptional Innovation: • Align resources to support strategic priorities • ExceptionalOrganization: • Foster an environment of creativity that encourages evolution of dynamic fields of inquiry

  12. Research Cyberinfrastructure Supportprior to Fall 2007 Photo Credit: Eggs by sir chalky

  13. Pre-Fall 2007 Model

  14. Initial Vision for RCA Photo Credit: Free Range by andrew dowsett

  15. Proposed Vision Photo Credit: Aspen Grove by kris247

  16. Role of RCA External Resources RCA needs help Peer Institutions Other Institutions & Resources MSI OIT CLA knows resources LIB etc AHC

  17. Role of RCA External Resources RCA needs help Peer Institutions Other Institutions & Resources MSI OIT CLA knows resources LIB etc AHC

  18. Researcher Consultation:Interviews these are all very busy people PI & IT

  19. biological macromolecules in solution a biological simulations research group Photo Credit: Desi Refridgerator by VIjay Pandey

  20. a biological simulations research group 12members250GBdrives1TBRAIDbound2researcher jointstudent inheritanceRNAdbcodebackupadmin queuessupercomputing msi Photo Credit: Desi Refridgerator by VIjay Pandey

  21. magnetic resonance imaging a medical imaging laboratory Photo Credit: 4604_0621_Magnets by podiluska

  22. a medical imaging laboratory alltrades auditorcentralserverslittlesupport webapps osstoolkits virtualizationcmrr5TBlimitbottlenecktossthemiddleAFS Photo Credit: 4604_0621_Magnets by podiluska

  23. saving the world with bill and melinda a worldwide data harvest project Photo Credit: Wheat by Bern@t

  24. a worldwide data harvest project betterdatasetshostingthirdpartiesdevelopment storagetens2hundredsTBCSdeptbibdatacommercialoptionagilepartnerfollowon Photo Credit: Wheat by Bern@t

  25. counting the world from minnesota a large social science research center Photo Credit: Crowd! by Tar_zan

  26. a large social science research center grant2grantclaoitdigitaldatanetworkstorage35TB+ scrubprivateintegrationgiganetnewonoldrefresh trustdimarchive partnership organic Photo Credit: Crowd! by Tar_zan

  27. Photo Credit: VIjay Pandey, podiluska, Bern@t, Tar_zan

  28. accessiblestoragescaleable sharable domainawareassistancesysadmin engineering development planningstage grant2grantflexifundingnopayasyougo seed collaboratereadycampuslevel partner Photo Credit: VIjay Pandey, podiluska, Bern@t, Tar_zan

  29. The Interviews Suggest Layered approach core tech, interfacing staff CLA-OIT model University not in a vacuum

  30. From Here to Enterprise: Major Gaps • Infrastructure and Coordinated Services • Capacity that Scales to Demand • Expertise Leveraging and Alignment • Economic Models

  31. Hubs and Nodes: Coordinated Tiered Services • Share what makes sense to share • Global and research domain networks • Institutional • College, Center, PI • “Servers vs. Services” • Servers • Hardware, system administration, network administration, database administration • Services • Shared applications and databases, information systems, service management, compliance, data life cycle management (expertise in metadata and data archiving, data access and re-use).

  32. Sponsor Advice • Meaning – communications and nomenclature • Structure – think pyramidally • Core services – identify and move forward, faster • Economies of scale imperative • Structural barriers – contrasting funding models, operating policies and practices across units • Value proposition – “eyes of the researchers” • Harness what we have – leverage the expertise and resources in all corners of the organization

  33. Consulting Services • Study design, programming, data analysis, data privacy and security, survey development, website development, performance measurement, specialized technical assistance, …etc • Application Support Services • Server administration, application administration, research applications support…etc. • Infrastructure Services • Data centers, server hosting, data storage and back-up, data security, super-computer access, high-performance research network access…etc Common Service Portfolio

  34. RCA Service Portfolio Behavioral Sciences Social Sciences Physical Sciences Life Sciences Consulting Support Services Application Support Services Infrastructure Services

  35. Building Common Service Portfolio • Outreach and Education • Piloting Approach • Building Integrated Strategic and Near-Term Work-Plans • Developing Measures Current Activities

  36. Coalition thinking rather than control • Articulate Shared Goals and Principles • No Crystal - Clear Financing / Funding Model • Value of Face Time • Complimentary Expertise and Missions • Shared Leadership is not Easy Lessons Learned…

More Related