ECDL 2006 - DLSci06 - eScience Knowledge-based vision

Claudia Niederee, Thomas Risse
e-Science: A knowledge based vision

http://www.ipsi.fraunhofer.de/

e-Science in Transition

* a broader look now beyond just grid and storage

Digitial Libraries

* have meanwhile reached a certain maturity

Possibly synergies

* E-science funcitonality as a natural extension of the scientific digital library
* learn from DL experiences and best practices
* reduce the risk of "re-inventing the wheel"

Comments: Grid not a good match for libraries - collaboration is key, where we can participate.

Goal: scientific working place of the future that enables focusing on creative tasks -   
      knowledge-based e-Science infrastructure

Future Directions:
* From digital content to innovation resources (Resources)
* From document classification to domain and market understanding (Context)
* From collaboration tools to virtual teams (Collaboration)
* From digital libraries to virtual research environments (Interaction)
  - also intelligent services that take over routine tasks from the research
* From provision of documents to active support of creativity (Creativity)
  - extremely difficult to support with info. technology
* From information provision to support of the innovation process (Process)

Have to have lots of flexibility to support creativity.

Example: Systematic Re-use of Innovation Resources

Innovation Resources
* Tools and Services
* Expertise
* Scientific data
* Scientific documents
* Methods

Challenges
* Encourage the re-use of resources
* Discover adequate resources within the current working context
* Consideration of existing rights of use
* Automate the description of resources where possible

Rachel - citations and linking to data

* Establishment of an annotation pipeline for the (semi) automatic enrichment of resources
  (scientific data and services)

From data to enriched data (by describing the data with the programs, methods and parameters used to create it).

Needed: Pipeline for (semi) automatic enrichment - domain specific
        Ontologies and models for the description
        Extended editors for data integration

e-Science Architecture Blueprint

[diagram]

FRESCO = Fraunhofer e-Science Cockpit

http://www.ipsi.fraunhofer.de/i-info/en/content/view/97/0/

Fraunhofer is very large, distributed organization - 58 institutes, 12400 employees

Fraunhofer e-Science Vision

* Support of the scientific innovation process for applied research by providing
[long list of things]

* Seamless and traceable integration of scientific data into the publication process

* Development of the Fraunhofer e-Science Infrastructure

Idea of e-Science Cockpit: Navigation within the innovation space

Infrastructure
* Integration basis for tech with content
* Provide base services and standardized interfaces
* Scalable and extensible

Did a big study with a questionnaire, as part of strongly user-oriented technology design

Found a high readiness for sharing data

Approach:
- Adequate technology launch
  - Stepwise integration into the working process