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Development of Cyberinfrastructure During Development of Cyberinfrastructure During Rapid and Interconnected ChangeRapid and Interconnected Change
Dan LubinDan LubinCyberinfrastructure Program ManagerCyberinfrastructure Program Manager
NSF Office of Polar ProgramsNSF Office of Polar [email protected]@nsf.gov
Also thanks to Also thanks to Bill WisemanBill WisemanArctic Natural SciencesArctic Natural Sciences
NSF Office of Polar ProgramsNSF Office of Polar Programs
Arctic ForumArctic Forum15 May 2008 Washington DC15 May 2008 Washington DC
How must research adapt to a How must research adapt to a rapidly changing Arctic?rapidly changing Arctic?
August 1941 August 2004Muir and Riggs Glaciers, AKCourtesy Mark Parsons, NSIDC
Cyberinfrastructure becomes a Cyberinfrastructure becomes a critical considerationcritical consideration
Historical data in all forms must be preserved.Historical data in all forms must be preserved.– In a rapidly changing Arctic, data from past decades are a In a rapidly changing Arctic, data from past decades are a
priceless benchmark.priceless benchmark.
We’re past IPCC 2007 Physical Science Basis.We’re past IPCC 2007 Physical Science Basis.– On to assessment of ecological, human impacts, adaptation, On to assessment of ecological, human impacts, adaptation, – Increasing international collaboration.Increasing international collaboration.– Redouble climate observations for both physical and life Redouble climate observations for both physical and life
sciences.sciences.
The physical, life science, and social science disciplines The physical, life science, and social science disciplines must be able to talk to each other!must be able to talk to each other!– Data of all types must be made interoperable across disciplines.Data of all types must be made interoperable across disciplines.– Large data sets such as satellite remote sensing and GCM Large data sets such as satellite remote sensing and GCM
model output must be accessible and interpretable across model output must be accessible and interpretable across disciplines.disciplines.
Cyberinfrastructure by ComponentsCyberinfrastructure by Components
Learning & Work Force Learning & Work Force Needs & OpportunitiesNeeds & Opportunities
Virtual Virtual Organizations for Organizations for
Distributed Distributed CommunitiesCommunities
High High Performance Performance ComputingComputing
Data Data Visualization Visualization & Interaction& Interaction
CourtesyLucy Nowell, OCI
Required Reading!Required Reading!
High High PerformancPerformanc
e e ComputingComputing
High High PerformancPerformanc
e e ComputingComputing
Data, Data Data, Data Analysis & Analysis & VisualizatioVisualizatio
nn
Data, Data Data, Data Analysis & Analysis & VisualizatioVisualizatio
nn
Virtual Virtual OrganizatioOrganizatio
nsns
Virtual Virtual OrganizatioOrganizatio
nsns
Learning & Learning & Workforce Workforce DevelopmeDevelopme
ntnt
Learning & Learning & Workforce Workforce DevelopmeDevelopme
ntnt
Cyberinfrastructure Vision, March 2007
Available on NSF Office of Cyberinfrasturcture web sitewww.nsf.gov/pubs/2007/nsf0728/index.jsp
Transformative Application - to
enhance discovery & learning
R&D to enhance technical and social effectiveness of future
CI environments
Provisioning -Creation,
deployment and operation of advanced CI
Cyberinfrastructure in Practice
Courtesy Dan Atkins, OCI Director
Office of Cyberinfrastructur
e
provides shared and connecting CIcatalyzes
Borromean Ring: The three rings taken together are inseparable, but remove any one ring and the other two fall apart. See www.liv.ac.uk/~spmr02/rings/
OCI Science Drivers apply directly to OCI Science Drivers apply directly to today’s Arctic climate change problemstoday’s Arctic climate change problems
• Inherent Inherent complexity and multi-scalecomplexity and multi-scale nature of nature of todays frontier science challenges.todays frontier science challenges.
• Requirement for Requirement for multimulti-disciplinary, -disciplinary, multimulti--investigator, investigator, multimulti-institutional approach (often -institutional approach (often international).international).
• High High data intensitydata intensity from simulations, digital from simulations, digital instruments, sensor nets, observatories.instruments, sensor nets, observatories.
• Increased value of data and demand for data Increased value of data and demand for data curation & preservationcuration & preservation of access. of access.
• Exploiting infrastructure Exploiting infrastructure sharing sharing to achieve to achieve better stewardship of research funding.better stewardship of research funding.
• Strategic need for Strategic need for engaging more studentsengaging more students in in high quality, authentic science and engineering high quality, authentic science and engineering education.education.
Dan Atkins, OCI Director
Emerging OCI Coordination StructureEmerging OCI Coordination Structure
CI COUNCILCI COUNCILDirectorDirectorDep. DirDep. Dir
BIOBIOCISECISEEHREHRENGENGGEOGEOMPSMPSOISEOISEOCIOCIOPPOPPSBESBE
CI COUNCILCI COUNCILDirectorDirectorDep. DirDep. Dir
BIOBIOCISECISEEHREHRENGENGGEOGEOMPSMPSOISEOISEOCIOCIOPPOPPSBESBE
HPC Coordinating HPC Coordinating GroupGroup
HPC Coordinating HPC Coordinating GroupGroup
Other Federal Other Federal Research & Research &
Mission Agency Mission Agency ProgramsPrograms
Other Federal Other Federal Research & Research &
Mission Agency Mission Agency ProgramsPrograms
Data Data Coordinating Coordinating
GroupGroup
Data Data Coordinating Coordinating
GroupGroup
Directorate/Office CI Directorate/Office CI Coordinators CommitteeCoordinators Committee
Directorate/Office CI Directorate/Office CI Coordinators CommitteeCoordinators Committee
SubcommittSubcommitt
ee on ee on Networking Networking & IT R&D& IT R&D
SubcommittSubcommitt
ee on ee on Networking Networking & IT R&D& IT R&D
National National Science & Science &
Technology Technology Council Council (OSTP)(OSTP)
National National Science & Science &
Technology Technology Council Council (OSTP)(OSTP)
Committee Committee on on
TechnologyTechnology
Committee Committee on on
TechnologyTechnology
Other Other Coordinating Coordinating Groups TBDGroups TBD
Other Other Coordinating Coordinating Groups TBDGroups TBD
Inter Agency Inter Agency Data GroupData GroupInter Agency Inter Agency Data GroupData Group
International e-International e-science, cyber science, cyber
science science programsprograms
International e-International e-science, cyber science, cyber
science science programsprograms
Advisory Committee Advisory Committee on on
CyberinfrastructureCyberinfrastructure
Advisory Committee Advisory Committee on on
CyberinfrastructureCyberinfrastructure
OCIOCIOCIOCI
Additional linkage within NSF through joint appointments and every OCI Program Officer having a liaison role with another Directorate or
Office
Liaison with each Directorate/Office
ACCI Task ACCI Task Force Force
GroupsGroups
ACCI Task ACCI Task Force Force
GroupsGroups
Dan Atkins,Director OCI
Track 1: One solicitation funded
over 4 years: $200M acquisition +
additional O&M cost.Track 2: Four
solicitations over 4 years: $30M/yr
acquisition + additional O&M cost. First track 1
approved 8-07
TeraGrid• Large-scale operational CI for national open science community
11 resource providers1 Grid Infrastructure Group (GIG)
• Single unified allocation process• Comprehensive user support
Advanced applications & software integrationScience gateways
• RS & Modeling: Don’t be afraid to check it out!
High Performance Computing
Drivers for OCI Data & Data Interoperability StrategyDrivers for OCI Data & Data Interoperability Strategy
Increased scale & Increased scale & heterogeneity of Dataheterogeneity of DataDemand for federation & Demand for federation & semantic interoperabilitysemantic interoperabilityIncreased expectations for Increased expectations for sharing & opennesssharing & opennessMore systematic quality More systematic quality control & long-term control & long-term accessaccess
Examples from CADIS(AON Program)
Lucy Nowell, OCI
OCI Data StrategyOCI Data StrategyOCI Data StrategyOCI Data Strategy
Federal Agencies, Academia, Library & Preservation Sector, Foundations & Non-profits, Commercial Sector, National
Laboratories, International Agencies
MechanismsMechanisms
Act
iviti
esA
ctiv
ities
DATANETPartners
Exec-level Review of NSF Data Policies
Blue Ribbon task force on sustainable data repositories
Lucy Nowell, OCI
Funded Funded ProgramsPrograms
Policy Policy ConsiderationConsideration PartnershipsPartnerships
National National FrameworkFramework
DATANET DATANET
PartnersPartners
Digital Data Digital Data Coordinating Coordinating GroupGroup
IInteragency Data nteragency Data Working GroupWorking Group
Culture Culture ChangeChange INTEROPINTEROP
Exec-LevelExec-Level
Review of NSFReview of NSF
Data PoliciesData Policies
Blue Ribbon Task Blue Ribbon Task Force on Force on Sustainable data Sustainable data repositoriesrepositories
Tools & Tools & ResourcesResources SDCI, STCISDCI, STCI NSF DataNSF Data Policies & Policies &
Registry ServicesRegistry ServicesNSF-wide data NSF-wide data working groupworking group
Opportunity Opportunity ExplorationExploration
Federal Agencies, Academia, Library & Preservation Sector, Federal Agencies, Academia, Library & Preservation Sector, Foundations & Non-profits, Commercial Sector, National Foundations & Non-profits, Commercial Sector, National
Laboratories, International AgenciesLaboratories, International Agencies
P: people, I: information, F: facilities, instruments
ST-SPST-SPPP: Physical mtgs: Physical mtgsII: Print-on-paper : Print-on-paper books, journalsbooks, journalsFF: Physical labs, : Physical labs, studios, shopsstudios, shops
DT-SPDT-SPPP: Shared : Shared notebooknotebookII: Library : Library reservesreservesFF: Time-shared : Time-shared physical labs, ...physical labs, ...
DT-SPDT-SPPP: Shared : Shared notebooknotebookII: Library : Library reservesreservesFF: Time-shared : Time-shared physical labs, ...physical labs, ...
ST-DPST-DPPP: AV : AV conferenceconferenceII: Web search: Web searchFF: Online : Online instrumentsinstruments
ST-DPST-DPPP: AV : AV conferenceconferenceII: Web search: Web searchFF: Online : Online instrumentsinstruments
DT-DPDT-DPPP: Email: EmailII: Knowbots: KnowbotsFF: Autonomous : Autonomous observatoriesobservatories
DT-DPDT-DPPP: Email: EmailII: Knowbots: KnowbotsFF: Autonomous : Autonomous observatoriesobservatories
TimeSame
(synchronous)Different
(asynchronous)
Geog
rap
hic
P
lace S
am
eD
iffere
nt
Virtual Organizations offer additional modes of interaction between People, Information, and
FacilitiesCourtesyDiana Rhoten, OCI
Virtual Organization ExamplesVirtual Organization ExamplesNanoHUB (www.nanohub.org)NanoHUB (www.nanohub.org)– Serving the nanotechnology communityServing the nanotechnology community– One of the most successful sets of VO portal software, now One of the most successful sets of VO portal software, now
spinning of as HUBzero (www.hubzero.org)spinning of as HUBzero (www.hubzero.org)
National Ecological Observatory Network National Ecological Observatory Network (www.neoninc.org)(www.neoninc.org)– Continental-scale research platform investigating impacts of Continental-scale research platform investigating impacts of
climate change, land use change, and invasive species on ecologyclimate change, land use change, and invasive species on ecology
Network for Earthquake Engineering Cyberinfrastructure Network for Earthquake Engineering Cyberinfrastructure Center (NEESgrid) (http://it.nees.org)Center (NEESgrid) (http://it.nees.org)– Real-time access to remote experiments in earthquake engineeringReal-time access to remote experiments in earthquake engineering
Arctic Observation Network Arctic Observation Network (www.eol.ucar.edu/projects/aon-cadis/)(www.eol.ucar.edu/projects/aon-cadis/)– Instrument deployment underwayInstrument deployment underway– Cooperative Arctic Data and Information Service (CADIS) evolving, Cooperative Arctic Data and Information Service (CADIS) evolving,
very promisingvery promising
Cyberinfrastructure considerations Cyberinfrastructure considerations lead to philosophical considerationslead to philosophical considerations
Data interoperability and virtual organizations require Data interoperability and virtual organizations require consideration of ontologies, semantics and provenance.consideration of ontologies, semantics and provenance.Data Product Suites versus Observation SuitesData Product Suites versus Observation Suites““Place-based” observations (e.g., LTER model) versus Place-based” observations (e.g., LTER model) versus Large-scale observations (e.g.,NEON model)Large-scale observations (e.g.,NEON model)Is your science plan capability based (What can we do?) Is your science plan capability based (What can we do?) or requirements based (What should be done?), and is or requirements based (What should be done?), and is this choice appropriate?this choice appropriate?Does your plan for measuring climate and ecological Does your plan for measuring climate and ecological forcings contain built-in assumptions about which are forcings contain built-in assumptions about which are most important?most important?Rigorous consideration of CI requirements will compel Rigorous consideration of CI requirements will compel you to answer these questions!you to answer these questions!
Requirements for Success with OCI Requirements for Success with OCI SolicitationsSolicitations
Domain Science (everything we do) must have an equal partnership with Domain Science (everything we do) must have an equal partnership with Computer Science.Computer Science.– Computer Science must Computer Science must notnot appear to be the servant of the Domain Science. appear to be the servant of the Domain Science.– If you do anything If you do anything polarpolar – you are a – you are a domain scientistdomain scientist!!
OCI panels tend to be heavily weighted by computer scientists’ input!OCI panels tend to be heavily weighted by computer scientists’ input!– Not always by number, sometimes by unique expertise, strong personalities!Not always by number, sometimes by unique expertise, strong personalities!
You should have a bona fide computer scientist as a collaborator.You should have a bona fide computer scientist as a collaborator.– Computer scientist, informatician, sociologist, etc., depending on solicitation.Computer scientist, informatician, sociologist, etc., depending on solicitation.– Someone actively publishing in the area of his/her contribution.Someone actively publishing in the area of his/her contribution.– Involve, or (even better) potential to publish: research in top-flight computer or Involve, or (even better) potential to publish: research in top-flight computer or
information science peer-review journals.information science peer-review journals.– Computer trade journals, software manuals, not sufficient for your reference list!Computer trade journals, software manuals, not sufficient for your reference list!– Your work/management plan must clearly discuss everyone’s role, even on a 5-Your work/management plan must clearly discuss everyone’s role, even on a 5-
page preproposal. A “token” computer scientist, or name dropping, won’t fly!page preproposal. A “token” computer scientist, or name dropping, won’t fly!– Broader Impacts must be robust and credible, not boilerplate!Broader Impacts must be robust and credible, not boilerplate!
Challenge: Panels are multidisciplinary, highly competitive – you must Challenge: Panels are multidisciplinary, highly competitive – you must engage the reviewers and keep them excited about your work!engage the reviewers and keep them excited about your work!Positive:Positive: Great interest in global climate change issues throughout OCI! Great interest in global climate change issues throughout OCI!
Proposal versus PreproposalProposal versus PreproposalPreparing a ProposalPreparing a Proposal– You take lots of long walks.You take lots of long walks.– You write the best 15 pages you can, finishing a draft at least You write the best 15 pages you can, finishing a draft at least
several days before the deadline.several days before the deadline.– You do a lot of proofreading, editing, and polishing before You do a lot of proofreading, editing, and polishing before
submitting the proposal.submitting the proposal.– You can count on ~10 minutes of discussion about your proposal You can count on ~10 minutes of discussion about your proposal
in the NSF panel.in the NSF panel.
Preparing a PreproposalPreparing a Preproposal– You need to take just as many long walks.You need to take just as many long walks.– You only need to write 5 pages, but you need to engage the You only need to write 5 pages, but you need to engage the
reviewers, convince them that your project is worth doing and will reviewers, convince them that your project is worth doing and will break new ground.break new ground.
– Convince reviewers that your team is well constituted.Convince reviewers that your team is well constituted.– Convince reviewers that details of methods and literature survey Convince reviewers that details of methods and literature survey
will follow in the full proposal.will follow in the full proposal.– You do just as much proofreading, editing, and polishing before You do just as much proofreading, editing, and polishing before
submitting the preproposal.submitting the preproposal.– You can count on ~5 minutes of discussion in the NSF panel.You can count on ~5 minutes of discussion in the NSF panel.
Cyberinfrastructure and OPPCyberinfrastructure and OPPOCI will very likely set the standard for future OCI will very likely set the standard for future OPP investments in data management and OPP investments in data management and interoperability, cyber-enabled collaboration, and interoperability, cyber-enabled collaboration, and other requirements for computational resources.other requirements for computational resources.
Most of the OCI solicitations lend themselves Most of the OCI solicitations lend themselves very well to polar concerns. Do consider very well to polar concerns. Do consider submitting proposals!submitting proposals!
There has already been good interest in OCI There has already been good interest in OCI proposal submission by polar researchers earlier proposal submission by polar researchers earlier this year. Can we keep it up next year?this year. Can we keep it up next year?
Polar Researchers: I’m on your side! Polar Researchers: I’m on your side! ([email protected], 703-292-7416)([email protected], 703-292-7416)