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National Data Infrastructure for Earth System Science EarthCube and other efforts globally Clifford Jacobs, National Science Foundation Peter Fox, Rensselaer.

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Presentation on theme: "National Data Infrastructure for Earth System Science EarthCube and other efforts globally Clifford Jacobs, National Science Foundation Peter Fox, Rensselaer."— Presentation transcript:

1 National Data Infrastructure for Earth System Science EarthCube and other efforts globally Clifford Jacobs, National Science Foundation Peter Fox, Rensselaer Polytechnic Institute Presented at the town hall meeting AGU fall 2011

2 Outline  Context  Nationally  Internationally  EarthCube vision  Initial EarthCube efforts  Long-term vision

3 Context We no longer have the gift of time

4 Science foundations for EarthCube “To understand more deeply the planet and its interactions will require the geosciences to take an increasingly holistic approach, exploring knowledge coming from all scientific and engineering disciplines.” “Fostering a sustainable future through a better understanding of our complex and changing planet.” CALL TO ACTION: “Over the next decade, the geosciences community commits to developing a framework to understand and predict responses of the Earth as a system—from the space- atmosphere boundary to the core, including the influences of humans and ecosystems.” GEO Vision

5 Crossroad Challenges of GEOvision GEO CI The Dynamic Earth The Changing Climate Earth and Life Geosphere- Biosphere Connections Water: Changing Perspective Water: Changing Perspective 5

6 Arctic Sea Ice Research Vessel Sikuliaq Oceans Water Satellites Earth System Modeling Era of Observation and Simulation EarthScope Observatory Network

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8  NSF Budget (FY 2010) $6,926.5 M  Geosciences (GEO) Budget $ M  GEO 2010 investments in CI ~$103 M  New investment: Example  NWSC (NCAR-WY Super Computer Center)  FY 2012 With Partners in Wyoming:  Center Construction ~$70M  Computer Systems ~$30M

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10 Some international context  Australia  Europe  UK  But there are more…

11 E.g. WIRADA  Australia Bureau of Meteorology (BoM, operational agency) and Commonwealth Scientific and Industrial Research Organization (CSIRO, research and application organization)  Science Symposium (Aug, 2011) demonstrated significant progress  Scientists, engineers and informaticists working and meeting together from the start!   Cooperation for National Environmental Information System

12 Research Data Storage Infrastructure  A$50M (just started)

13 Financed by the Education Investment Fund (EIF) A$47 million (2010 – 2013) nectar.org.au

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15 To serve a national research community of several thousand!!

16 EU Framework Program 7 9 th /10 th calls   INFRA : Data infrastructures for e-Science  Eu 43M  Closed Nov. 23, 2011  General objectives: Establish a persistent and robust service infrastructure for scientific data..  Deployment of generic services for persistent data storage, access and management that assure data provenance, authenticity and integrity and respond to the needs of advanced user communities  Development of an open access, participatory infrastructure for scientific information linking peer-reviewed literature and associated data sets and collections which can be open to non-scientists and to providers of value- added services  Scientific community-driven policy development and service deployment for data generation, provenance, quality assessment, certification, curation, annotation, navigation and management so as to promote the sharing of data and the development of trust  Development and deployment of tools and techniques for the provision of advanced data services notably for data discovery, mining, visualisation and simulation

17 GeoNETWORK

18 D4Science (phase II)

19 GRDI2020

20 EUPractice.eu

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22 UK  JISC initiative (National Data Infrastructures Study): aldata.aspx (led by Digital Curation Centre) aldata.aspx  Managing Research Data (e.g. ADMIRE): research-data-programme new-rdm-infrastructure- projects/ research-data-programme new-rdm-infrastructure- projects/  Data infrastructurEs for Supporting Information Retrieval Evaluation (DESIRE) 2011/homehttp://www.promise-noe.eu/events/desire- 2011/home  Environmental Virtual Observatory -Pilot (NERC)

23 What is EarthCube? An alternative approach to respond to daunting science and CI challengesAn alternative approach to respond to daunting science and CI challenges EarthCube is an outcome and a processEarthCube is an outcome and a process EarthCube will require broad community participationEarthCube will require broad community participation

24 Goal of Earth Cube to transform the conduct of research in geosciences by supporting the development of community-guided cyberinfrastructure to integrate data and information for knowledge management across the Geosciences.

25 EarthCube Will:  Be a long-term transformation of the practices within the geosciences community spanning at least a decade  Provide unprecedented new capabilities to researchers and educators  Vastly improve the productivity of community and thus accelerating discovery in understanding and predicting the Earth system  Provide a uniform knowledge management framework for all of the geosciences

26 Initial EarthCube efforts Unanticipated community engagement and contribution

27 EarthCube Website  ~600 members to the EarthCube website  114 white paper submission  185 respondents to user survey  Unknown number of hours of pro bono contributions by community  Unprecedented view of the pulse of the geoscience community

28 Charrette Attendance  On-site 146  Not all for the entire 3 ½ days  Attendance was high even on last morning  Virtual  Nov. 1 Virtual 139 Nov. 2 Virtual 104 Nov. 3 Virtual 63 Nov. 4 Virtual 37 (preliminary estimate)  Broad representation of geosciences research community  Including several graduate and post-docs  Representation also included  Other federal agencies  International  Industry  Publishers  Societies and science organizations  Organizational specialists  ~20 GEO & OCI POs (not at same time)  Representatives from BIO and CISE also in attendance

29 Immediate Outcomes  Identifying the most important capabilities to be embodied in EarthCube  Defining the initial view of EarthCube  Many “2-pager” papers on new capabilities  Resulted from work at the Charrette  New collaborations enabled by the Charrette  Instructions NSF’s interest in Eager awards post-Charrette  Strategic organizational framework  Development of new capabilities  Progress on critical milestone (developed at Charrette)  EarthCube website was and is an effective tool for community dialog  Labor intensive to monitor and maintain  Bottom line: a new starting place for creative and collaborative ideas, partnerships, and building CI for the geosciences

30 Milestones  Release of first DCL June 2011  WebEx presentationsJune & July 2011  Establish EarthCube Social Network siteAugust 2011  CharretteNovember 2011  Second DCLDecember 2011  EAGER and Supplement SubmissionsDecember 2011 – April 2012  Second Community eventMay 2012  Continued community opportunitiesMay ?

31 Path To Action Are we at the beginning of the great convergence?

32 Discussion Points -- path to action --  Are there current synergies that can be built on with minimal/ modest investment?  Are there gaps in Data Infrastructures efforts world-wide that EarthCube could address?  What are viable means for international cooperation, collaboration, alliances, etc?  What are effective means to transformation the culture of geosciences?

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37 Schematic Depiction of Knowledge Management Global Access o Common communication infrastructure o Access to external /internal information /knowledge/sources o Use of modern methods and tools Global Access o Common communication infrastructure o Access to external /internal information /knowledge/sources o Use of modern methods and tools Motivation Enablers o Value and culture o Rewarding o Sharing/exchange of knowledge o Shared mindsets and visions o Trust of each other o Bridging generations Motivation Enablers o Value and culture o Rewarding o Sharing/exchange of knowledge o Shared mindsets and visions o Trust of each other o Bridging generations Building Knowledge Infrastructure Developing a Knowledge Culture (community) Creation o Capacity Building o Face-to-face contact o Competence centers o Community of practices o Management of knowledge processes o Networking – incl. web (community) Creation o Capacity Building o Face-to-face contact o Competence centers o Community of practices o Management of knowledge processes o Networking – incl. web Building Knowledge Intensity Easy Usability o Who knows what o Taxonomy of expertise o Yellow pages o Competence o Uniformity of access Easy Usability o Who knows what o Taxonomy of expertise o Yellow pages o Competence o Uniformity of access Making Knowledge Visible From A. Boynton, “Exploring Opportunities in Knowledge Management: How to Get Started” Knowledge Management Symposium: Leveraging Knowledge for Business Impact, IBM Consulting, Sydney, 1996

38 EarthCube Design Elements Vision for EarthCube Community-Based Governance model Conceptual CI Architecture Design Process Operations and Sustainability Model

39 Modes of Support A Unifying Architecture and Technology Advances Will Lead to Strategic Convergence on KM

40 Building on the Internet Paradigm  The Internet provided a knowledge system that transformed the modality of science  Unanticipated Outcomes  NSF’s role included influencing the set of standards that were adopted  CIF21 investments must provide a framework of integrated and interactive services Interworkability for collaboration Internet for interoperability

41 Long-term vision for a national data infrastructure for Earth system science Can we configure our culture to keep pace with technology?

42 Challenges  The challenges have been defined in countless reports  It is not about technology per say, but its effective use  Increase productivity and capabilities in our personal lives are not reflected in our research jobs  Future visions must focus on increased productivity and capability at end point of use  Affecting change within the current research paradigm


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