David De Roure Manchester Edition

John Taylor There are a number of grid applications being developed and there is a whole raft of computer technologies that provide fragments of the necessary functionality. However there is currently a major gap between these endeavours and the vision of e-Science in which there is a high degree of easy-to-use and seamless automation and in which there are flexible collaborations and computations on a global scale. Us e-Science is about global collaboration in key areas of science and the next generation of infrastructure that will enable it The Semantic Grid Report 2001

Infrastructure Scientists

Grid community talking about metadata and knowledge Huge potential for Science – making data reusable, interlinked – making connections between decoupled content – generating new intelligence Automation requires machine-processable descriptions Grid Computing The Semantic Web The Semantic Grid Web Services Why Semantic Web?

RDF…

The Semantic Web is an extension of the current Web in which information and services are given well-defined meaning, better enabling computers and people to work in cooperation Grid Free the data!Free the services!Free the people! The Semantic Grid

Box of Chemists My Chemistry Experiment

X-Ray e-Lab Analysis Properties Properties e-Lab Simulation Video Diffractometer Grid Middleware Structures Database Iconic CombeChem Picture

scientists Local Web Repositories Digital Libraries Graduate Students Undergraduate Students Virtual Learning Environment Technical Reports Reprints Peer- Reviewed Journal & Conference Papers Preprints & Metadata Certified Experimental Results & Analyses experimentation Data, Metadata Provenance Workflows Ontologies The social process of science

“Publication at Source” describes the need to capture data and its context from the outset and maintain a complete end-to-end connection between the laboratory bench and the intellectual chemical knowledge that is published as a result of the investigation The details of the origins of data are just as important to understanding as their actual values Publication at Source

Very big RDF Graph Small ontology!

Usability and security matter! It’s a Semantic DataGrid Think Holistic – we’re working in the context of the Scholarly Knowledge Cycle In the Wild – Integrating 3 rd party data sources Power of Provenance Publish don’t warehouse Bootstrap through existing practice A little Semantics goes a long way CombeChem Distinctives

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Between 19 th October and 23 rd November 2007 I attended six international meetings related to e-Science Grid 2007 Scientific and Scholarly Workflows e-Social Science 2007 W3C Open Grid Forum Microsoft e-Science This is what I found

Everyday researchers doing everyday research Not just a specialist few doing heroic science with heroic infrastructure Chemists are blogging the lab Everyone is mashing up Everday hardware – multicore machines and mobile devices 1

A data-centric perspective, like researchers Data is large, rich, complex and real-time There is new value in data, through new digital artefacts and through metadata e.g. context, provenance, workflows This isn’t “anti-computation” – design interaction around data 2

Collaborative and participatory The social process of science revisited in the digital age Collaborative tools – blogs and Wikis e-Science now focuses on publishing as well as consuming Scholarly lifecycle perspective 3

Benefitting from the scale of digital science activity to support science This is new and powerful! Community intelligence Review Usage informing recommendation e.g. OpenWetWare e.g. myExperiment 4

Increasingly open Preprints servers and institutional repositories Open journals Open access to data Science Commons Object Reuse & Exchange 5

Better not Perfect The technologies people are using are not perfect They are better They are easy to use They are chosen by scientists 6

Empowering researchers The success stories come from the researchers who are fluent in use of new tools Domain ICT experts are delivering the solutions Anything that takes away autonomy will be resisted 7

About pervasive computing e-Science is about the intersection of the digital and physical worlds Sensor networks Mobile handheld devices 8

e-Science is now enabling researchers to do some completely new stuff! As the individual pieces become easy to use, researchers can bring them together in new ways and ask new questions “The next level” Onward and Upward “Standing on the shoulders of giants” (Everyday researchers are giants too)

Signs of the Times The Long Tail Data is the Next Intel Inside Users add value Network effects by default Some Rights Reserved The Perpetual Beta Cooperate, don’t Control Software above the level of the single device Web 2.0 patterns 1.Everyday researchers doing everyday research 2.A data-centric perspective, like researchers 3.Collaborative and participatory 4.Benefitting from the scale of digital science activity 5.Increasingly open 6.Better not Perfect 7.Empowering researchers 8.About pervasive computing

Grid use Web 2.0 here Grid cloud HPC

Paul writes workflows for identifying biological pathways implicated in resistance to Trypanosomiasis in cattle Paul meets Jo. Jo is investigating Whipworm in mouse. Jo reuses one of Paul’s workflow without change. Jo identifies the biological pathways involved in sex dependence in the mouse model, believed to be involved in the ability of mice to expel the parasite. Previously a manual two year study by Jo had failed to do this. Recycling, Reuse, Repurposing

myExperiment.org is… “Facebook for Scientists” A community social network. A gateway to other publishing environments A federated repository A platform for launching workflows Publishing self-describing Encapsulated myExperiment Objects Mindful publication Started March 2007 Closed beta since July 2007 Open beta November 2007 myExperiment.org is...

scientists Local Web Repositories Graduate Students Undergraduate Students Virtual Learning Environment Technical Reports Reprints Peer- Reviewed Journal & Conference Papers Preprints & Metadata Certified Experimental Results & Analyses experimentation Data, Metadata Provenance Workflows Ontologies Digital Libraries The social process of science 2.0

e-Science is about doing new science Think Web 2.0 coupling resources and Semantic Web coupling data Users are not just consumers of infrastructure. Empower them. Workflows make e-Science easier, and Web 2 makes workflows easier Take Homes 2.0

Contact David De Roure Thanks Jeremy Frey, Simon Coles, Cameron Neylon, Savas Parastatides, Carole Goble and The myGrid Family