E-Science Between Grid And Knowledge Management

eScience Between Grid and Knowledge Management Prof. Dr. Hans-Christoph Hobohm Dean, dept. of Information Sciences Potsdam University of Applied Sciences I nvited talk at the 4 th workshop of the Open European Nephrology Science Center (OpEN.SC) Institute of Pathology, Charité, Humboldt University Berlin, M a y, 8 th – 9 th 2009 Slides licensed under a Creative Commons Attribution 3.0 License

Fachhochschule Potsdam University of Applied Sciences : Dept.: Social work, Architecture and Urban Planring, Restauration, Arts Management, Construction Engineering, Design, Interface-Design , Information Sciences , European Media Science since 1991 - ca. 100 faculty members - ca. 2200 students May, 9th 2009 Hans-Christoph Hobohm: E-Science

Overview

Our interest in the topic

What is E-Science

Grid-technology

International Initiatives

Science 2.0

Knowledge Management

New Roles in Research Infrastructure

May, 9th 2009 Hans-Christoph Hobohm: E-Science

O ur interest

S pecial Potsdam “climate”

Library and Information Sciences

C o-operation with Interface Design

W orld leading geo- and climate research centres

T op ranked “extra-university research institutes”

A strophysics, gravitational theory, bio-medical research, plantphysiology, materials research, agricultural research + Berlin: Charité …

Researchers asking for help from infrastructure people

Eeeeh – Science ?

Electronic Science?

Enhanced Science

E-Humanities

E-Research

New technology?

High Performance Computing

New form of organisation

Critical mass?

Paradigm change?

Paradigms in academic approaches

Experimental / observational

Theoretical / analytical

Computational  simulation

Data driven science  large scale co-operation

(NSF 2003, Hey&Hey 2006)

NSF 2003 (Blue Ribbon Report)

“ Recently, multiple accelerating trends are converging and crossing thresholds in ways that show extraordinary promise for an even more profound and rapid transformation – indeed a further revolution – in how we create, disseminate, and preserve scientific and engineering knowledge.”

D angers in the new world

„ ... but there are also real dangers of disappointing results and wasted investment for a variety of reasons including underfunding in amount and duration, lack of understanding of technological futures , excessively redundant activities between science fields or between science fields and industry, lack of appreciation of social/cultural barriers, lack of appropriate organizational structures, inadequate related educational activities , and increased technological (“not invented here”) balkanizations rather than interoperability among multiple disciplines.“

(NSF 2003)

Definitions

„ e-Science is not a new scientific discipline in its own right: e-Science is shorthand for the set of tools and technologies required to support collaborative, networked science. The entire e-Science infrastructure is intended to empower scientists to do their research in faster, better and different ways.“

(Hey&Hey 2006)

Definitions

„ In addition to data manipulation and analysis which are essential to e-science, research activities which information and communications technology might integrate include

‘ marshalling of resources ,

scholarly discourse and publication , and the

creation and maintenance of collaborations ,

across disciplines, institutions and countries, including support for meetings and organizational processes‘“

(Deepwell&King 2009, citing JISC VRE report 2004)

A GRID:

1) coordinates resources that are not subject to centralized control …

2) … using standard, open , general-purpose protocols and interfaces

3) … to deliver nontrivial qualities of service.

(Ian Foster 2002)

(Inter-)n ational initiatives

NSF “Cyberinfrastructure” 2003

UK JISC VRE Roadmap 2004

EU eIRG 2005

Australian „E-research Coordinating Committee“ 2006

dGRID Initiative since 2005

May, 9th 2009 Hans-Christoph Hobohm: E-Science  More and more technology oriented!

B uzz words

C yber infrastructure

E -infrastructure

V irtual research environments (VRE)

C ommunity of practice (CoP)

V irtual organizations (VO)

Infrastructure

„ The term infrastructure has been used since the 1920s to refer collectively to the roads, power grids, telephone systems, bridges, rail lines, and similar public works that are required for an industrial economy to function. ( …) The newer term cyberinfrastructure refers to infrastructure based upon distributed computer, information and communication technology. If infrastructure is required for an industrial economy, then we could say that cyberinfrastructure is required for a knowledge economy .”

(NSF 2003 = Blue Ribbon Report)

Layers

„ The base technologies underlying cyberinfrastructure are the integrated electro-optical components of computation, storage, and communication that continue to advance in raw capacity at exponential rates.

Above the cyberinfrastructure layer are software programs, services, instruments, data, information, knowledge , and social practices applicable to specific projects, disciplines, and communities of practice.

Between these two layers is the cyberinfrastructure layer of enabling hardware, algorithms, software, communications, institutions, and personnel .“

D igital libraries

“ We suggest that the topic of digital libraries be broadened to consider even larger questions about the transformation of scholarly communication, including not only the accessing and sharing of knowledge, but also including this expanding knowledge as an integral element of the active collaboration among scholars .”

eScience: example May, 9th 2009 Hans-Christoph Hobohm: E-Science

S cience 2.0 (a group in FriendFeed) May, 9th 2009 Hans-Christoph Hobohm: E-Science

German Max-Planck Directors: “we need a science facebook” May, 9th 2009 Hans-Christoph Hobohm: E-Science

R esearchGATE May, 9th 2009 Hans-Christoph Hobohm: E-Science

eScience is more about Knowledge management:

„ Virtual organisations“

C ommunities of practice

R eification of knowl e dge

M aking tacit knowledge explicit

C onnecting and instilling trust

A rranging the “meeting place” for experience and knowledge about data management

N egotiating / appraisal / valueing

N etworking and lobbying

K nowledge management May, 9th 2009 Hans-Christoph Hobohm: E-Science K = P + I The concept of („ba“) The social life of information „ Blow up“ your corporate library! Markets are conversations

LIS competencies required May, 9th 2009 Hans-Christoph Hobohm: E-Science G raphics adapted from a previous version by Silke Grossmnn Information Sciences Technical Know-how Digital Publishing Data- management Digital Preservation Services Community & Collaboration Domain understanding Management Communication Methodological skills

Challenges for the (LIS) infrastructure

S tewardship / advocacy / marketing / marshalling resources / outreach

Interdisciplinary professional c ommunication / teaching / counseling

I ntercultural understanding / t rust

Community management / maintaining collaborations

Digital information thinking / ILC

Domain specific computational thinking

D ata curation / d ata management / data processing

S cientific visualisation / data analysis

T HANK FOR YOUR ATTENTION! May, 9th 2009 Hans-Christoph Hobohm: E-Science

references

Deepwell, Frances; King, Virginia (2009): E-Research Collaboration, Conflict and Compromise. In: Salmons, Janet; Wilson, Lynn (eds.): Handbook of research on electronic collaboration and organizational synergy . Hershey: Information Science Reference, S. 1-15.

E-research Coordinating Committee. (2006): An Australian e-research strategy and implementation framework: Final report of the eresearch coordinating committee.

Joint Information Systems Committee Support of Research Committee Virtual Research Environments Working Group (JCSR VRE). (2004): Roadmap for a UK virtual research environment.

National Science Foundation (NSF). (2003): Revolutionizing science and engineering through cyberinfrastructure: Report of the National Science Foundation blue-ribbon advisory panel on cyberinfrastructure.