Related: Vision for Research Computing at UF, 2011

Vision for Research Computing ( Related URL )

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Related: Vision for Research Computing at UF, 2011
Series Title:
Data Management / Curation Task Force Materials
Physical Description:
Meeting agenda
Research Computing Advisory Committee, UF
Research Computing Advisory Committee, UF
Place of Publication:
Gainesville, FL
Publication Date:


Subjects / Keywords:
Data management
Data curation
Radical collaboration
Research Computing


The Vision for Research Computing at UF by the Research Computing Advisory Committee from Feb 2011 defines the overall vision for the newly created Research Computing, with values and goals for various concerns, including enabling radical collaboration.
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Item harvested from the Research Computing website for ease of reference by the DMCTF, which is a collaborator on campus-wide data support and on establishing a culture of data management, innovation, and radical collaboration.

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University of Florida
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University of Florida
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Vision for Research Computing at UF Research Computing Advisory Committee Feb 2011 As a premier research institution, the University of Florida has invested in and utilizes a broad array of advanced information technologies. Prospering in a rapidl y evolving technology environment and increasingly collaborative cultur e requires a substantial institutional commitment to Research Computing. We sketch here a vision for Research Computing. We propose to start by implementing a stable and sustainable High Performance Computing (HPC) Center that will provide substantial comp utational, storage and networking resources as well as strong application support fo r University of Florid a researchers. Over the next five years we aim to significantly augment hardware and software resources, dramatically increase the number of computing support personnel and com putational scientists, a nd promote institutional partnerships and technologies resulting in radical colla boration fundamentally new partnerships of faculty, IT and computational specialists across UF and beyond. Radical collaboration will support the next generation of inquiry insuring that UF researchers will effectively compete for resources, using data and information resources to extend human knowledge and capability. Additional details will be developed as pla nning proceeds and researchers across UF and its partners are engaged in consid eration of their disciplines. Approach to Research Computing: res ources and strategy resulting in radical collaboration Resources : Hardware provides compute cycles, networ k transport and storag e capacity resulting in collaborative, analytic and visualization ca pability. Infrastructure includes access to an enormous range of software tools and technologies. Many of these must be licensed, deployed, configured, interfaced, and supported at the enterprise level. A si ngle campus network, with high speed capability, single authentication system a nd single set of general purpose collaborative information resources is essential to radical collab oration. Computational sp ecialists and scientists are needed to partner with research groups in the translation of research co ncepts to computational capabilities. Significant investment and suppor t at the enterprise le vel will be needed. Strategy : A comprehensive strategy for research computing in the 21st century is needed to move beyond IT as service provider to IT as enabling partner. Strategy is needed for increasing access to and reuse of data. Data volume and complexity have exploded across libraries, next-generation instruments, environmental sensors, healthcare, science facilities and computer simulations. Volume (from terabyte to petabyte scale), and complexity/dimensionality call for institutional level approaches. UF lags significantly in this area; although the recent initiation of the Integrated Data Repository project in the Health Science Center, and the libraries institutional repository are hopeful signs. A strong data strategy will allow UF researchers to satisfy data policies by federal funding agencies and to utilize programs such as NSFs XD (eXtreme Data) program in which campus data are integrated with na tional-scale computational resources. Radical collaboration: In order to achieve excellence we must develop a new model of interaction among computing specialists, support personnel, computationa l faculty and faculty engaged in other research within UF and with its research partners. Signif icant new resources will be needed to support computationa l specialists who can actively collaborate in the development of new resources for research. Ontologists, system administrators, developers, and data stewards will


need to be available for partnering in researc h. Faculty across the campus and beyond need new information resources to identify potential collaborators and build successful teams. Radical collaboration will also re quire fostering and sustaining pa rtnerships with the public and private sector. Such partnerships have enormous potential for promoting research discovery and workforce development. They should include collabo rative endeavors with research universities and laboratories from across the state of Florida, the nation, and around the world; strategic alliances with major private se ctor information technology provide rs; and joint in itiatives with state and federal agencies. Specific goals for th e next 18 months Resources Expand the core infrastructure of the HPC center Deploy a new large scale storage solution for the campus Provide a mechanism to add high-speed networking to research groups as needed Create a researcher dashboard including an investigators resour ces and works with information access and management tools fo r each. Capitalize on existing semantic information resources. Strategy Create a task force for the specific purpos e of developing new models for radical collaboration with IT, with computational specialists and scie ntists, with faculty across UF and the world. Include funding, staffing a nd teaming models in support of radical collaboration. Develop efficient plans for data storage, curation and sharing, preventing redundancy and ensure secure backup and accessibility of valuable research data. Create mechanisms to ensure smooth transition for researchers to expand their use of computing resources from their lab equipment, to large scale computing, to statewide and national resources, such as the NSF TeraGrid and Open Science Grid, systems at national labs, and cloud resources such as t hose provided by Amazon and Microsoft. Radical Collaboration Add IT staff resources for the purpose of co llaborating with faculty on the development of radical collaboration opportuni ties in information access, data storage and curation, and use of computational facilities. Create training sessions and topi cal workshops in co-ordinat ion with regular academic classes to reduce duplication of effort. Fo r example user training on basic login, queue submission, cluster etiquette, installa tion and management of software. Engage the library, the health science center, IFAS, and international investigators in identifying breakthrough opportunities for improving collaboration using technology. Explore partnerships and alliances with industry, private and public national and international consortia, and national labs to leverage expertise a nd resources. Create a mechanism where the University can foster and support the transformation of innovative ideas into startup ventures and economic activity.