positioning the university of minnesota’s research cyberinfrastructure: the research...

36
Positioning the University of Minnesota’s Research CyberInfrastructure: The Research CyberInfrastructure Alliance as a Virtual Organization CSG Spring 2008

Upload: allie-reder

Post on 15-Dec-2015

221 views

Category:

Documents


0 download

TRANSCRIPT

Positioning theUniversity 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.• Objective Researcher Consultation• Current Activity• Summative Thoughts

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

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.

Alliance Indicators: Assessing Readiness

1. Readiness2. 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

Alliance Indicators: 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

What is Cyberinfrastructure?

Information Technology resources used by researchers,clinicians, engineers, and artists in the creation

of new knowledge.

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.

RCA Goal

To position the University to enable computationally intensive, interdisciplinary

research for the 21st Century.

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

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

• Exceptional Organization:– Foster an environment of creativity that encourages evolution of

dynamic fields of inquiry

Research Cyberinfrastructure Supportprior to Fall 2007

Photo Credit: Eggs by sir chalky

Pre-Fall 2007 Model

Initial Vision for RCA

Photo Credit: Free Range by andrew dowsett

Proposed Vision

Photo Credit: Aspen Grove by kris247

Role of RCA

Other Institutions

& Resources

RCA

MSI OIT CLA

LIB AHC etcknows resources

needs help

External Resources

Peer Institutions

Role of RCA

Other Institutions

& Resources

RCA

MSI OIT CLA

LIB AHC etcknows resources

needs help

External Resources

Peer Institutions

Researcher Consultation:Interviews

PI & IT

these are all very busy people

biological macromolecules in solution

a biological simulations research group

Photo Credit: Desi Refridgerator by VIjay Pandey

a biological simulations research group

12members 250GBdrives 1TBRAID

bound2researcher jointstudent inheritance

RNAdb code backupadmin queues

supercomputing msi

Photo Credit: Desi Refridgerator by VIjay Pandey

magnetic resonance imaging

a medical imaging laboratory

Photo Credit: 4604_0621_Magnets by podiluska

Photo Credit: 4604_0621_Magnets by podiluska

a medical imaging laboratory

alltrades auditor centralservers littlesupport

webapps osstoolkits virtualization

cmrr5TBlimit bottleneck

tossthemiddle AFS

saving the world with bill and melinda

a worldwide data harvest project

Photo Credit: Wheat by Bern@t

Photo Credit: Wheat by Bern@t

a worldwide data harvest project

betterdatasets hosting thirdparties development storage tens2hundredsTB

CSdept bibdata

commercialoption

agilepartner followon

counting the world from minnesota

a large social science research center

Photo Credit: Crowd! by Tar_zan

Photo Credit: Crowd! by Tar_zan

a large social science research center

grant2grant claoit digitaldata networkstorage

35TB+ scrubprivate integration

giganet newonoldrefresh trust dimarchive partnership organic

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

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

accessible storage scaleable

sharable domainaware

assistance sysadmin

engineering development

planningstage

grant2grant

flexifunding nopayasyougo seed

collaborate ready campuslevel partner

The Interviews Suggest

•Layered approach core tech, interfacing staff•CLA-OIT model•University not in a vacuum

From Here to Enterprise:Major Gaps

• Infrastructure and Coordinated Services• Capacity that Scales to Demand • Expertise Leveraging and Alignment • Economic Models

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

o Hardware, system administration, network administration, database administration

Serviceso Shared applications and databases, information systems, service

management, compliance, data life cycle management (expertise in metadata and data archiving, data access and re-use).

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

Common Service Portfolio

• Consulting ServicesStudy design, programming, data analysis, data privacy and security, survey development, website development, performance measurement, specialized technical assistance, …etc

• Application Support ServicesServer administration, application administration, research applications support…etc.

• Infrastructure ServicesData centers, server hosting, data storage and back-up, data security, super-computer access, high-performance research network access…etc

RCA Service Portfolio

Beh

avio

ral S

cien

ces

Soc

ial S

cien

ces

Phy

sica

l Sci

ence

s

Lif

e S

cien

ces

Infrastructure Services

Application Support Services

Consulting Support Services

Current Activities

• Building Common Service Portfolio• Outreach and Education• Piloting Approach• Building Integrated Strategic and Near-Term Work-Plans

• Developing Measures

Lessons Learned…

• 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