The Influence and Impact of Web 2.0 on e-Research Infrastructure, Applications and Users
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Transcript of The Influence and Impact of Web 2.0 on e-Research Infrastructure, Applications and Users
The Influence and Impact of Web 2.0 on e-Research Infrastructure, Applications and Users
Applications DayApplications Day
De Roure, D. and Goble, C. (2007) myExperiment – A Web 2.0 Virtual Research Environment. In: International Workshop on Virtual Research Environments and Collaborative Work Environments, May 2007, Edinburgh, UK.
...revisited
Or...
1. The Long Tail• Our target users are the
large number of scientists conducting the routine processes of science on a daily basis.
• Through sharing we have the potential to enable smart scientists to be smarter and propagate their smartness, in turn enabling other scientists to become better and conduct better science.
• myExperiment currently has 1640 registered users, 138 groups, 651 workflows, 170 files and 50 packs
• Lots of unique IP visits!• Total viewings: 85168
Most viewed: 2934 Total downloads: 68525Most downloaded: 3524
• We share process• There is evidence in papers and
talks that people are finding and using workflows to achieve new scientific results
2. Data is the Next “Intel Inside”
• myExperiment understands that scientists are focused on data, not software or one particular workflow engine.
• Furthermore, workflows themselves are the data of myExperiment and provide its unique value.
• Taverna 1, GWorkflowDL, Taverna 2 beta, Chemistry Plan, Trident (Package), Trident (XOML), WSVLAM
• Packs are our new Intel Inside?
3. Users Add Value
• myExperiment makes it easy to find workflows and is designed to make it useful and straightforward to share workflows and add workflows to the pool.
• To succeed we draw on the insights into the incentive models of scientists gained through experience with Taverna.
• Largest public workflow collection
• BUT Upload incentive has long return on investment• Paul Fisher gets support
requests not credit!• We are prepared to pay
expert curators• Quality triage imminent
4. Network Effects by Default• myExperiment aggregates
user data as a side-effect of using the VRE.
• The ability to execute workflows from myExperiment, and the integration of tools such as Taverna with myExperiment, further enable us to achieve increased value through usage.
• Google works!• Privacy restricts
recommendation• Biocatalogue takes this
forward
5. Some Rights Reserved
• myExperiment users require protection as well as sharing, but the environment is designed for maximum ease of sharing to achieve collective benefits – workflows are "hackable" and "remixable".
• Initiatives such as Science Commons provide a useful context for this.
• Compare with OpenWetWare• E-Lab lifecycle...
6. The Perpetual Beta• myExperiment is an online
service – indeed a collection of online services – and is continually evolving in response to its users.
• To support this, the project commenced with developers being embedded in the user community.
• Through day-to-day contact between designers and researchers, design is both inspired and validated.
• Daily dev meetings, weekly management meetings, monthly hackfests & team meetings with guests
• Test servers (virtualised)• Friends and
family,champions
7. Cooperate, Don't Control• myExperiment is a network
of cooperating data services with simple interfaces which make it easy to work with content.
• It both provides services and reuses the service of others. It aims to support lightweight programming models so that it can easily be part of loosely coupled systems.
• It’s not a lightweight set of components
• Nor is Facebook!
Search Engine
reviewsratingsgroupsfriendships
tags
Enactor
filesworkflows
`
HTML
For DevelopersFor Developers
RDF Store
SPAR
QL
endp
oint
Managed REST API
face
book
iGoo
gle
andr
oid
XML
APIconfig
mySQL
profiles
packscredits
8. Software Above the Level of a Single Device
• The current model of Taverna running on the scientist’s desktop PC or laptop is evolving into myExperiment being available through a variety of interfaces and supporting workflow execution.
• Interfaces for iGoogle, Facebook and Android
1. Fit in, Don’t Force Change2. Jam today and more jam
tomorrow3. Just in Time and Just
Enough 4. Act Local, think Global 5. Enable Users to Add Value6. Design for Network Effects
1. Fit in, Don’t Force Change2. Jam today and more jam
tomorrow3. Just in Time and Just
Enough 4. Act Local, think Global 5. Enable Users to Add Value6. Design for Network Effects
Six Principles of Software Design to Empower ScientistsSix Principles of Software Design to Empower Scientists
1. Keep your Friends Close2. Embed3. Keep Sight of the Bigger
Picture4. Favours will be in your
Favour5. Know your users6. Expect and Anticipate
Change
1. Keep your Friends Close2. Embed3. Keep Sight of the Bigger
Picture4. Favours will be in your
Favour5. Know your users6. Expect and Anticipate
Change
De Roure, D. and Goble, C. (2009) Six Principles of Software Design to Empower Scientists. IEEE Software vol. 26, no. 1, pp. 88-95, Jan/Feb 2009.
Scientists do share – also see OpenWetWare Looking at upload incentives
Web2 Principles worked Privacy, credit, attribution, licensing really matter
We have chosen a software platform that enables us to spend more time with the users in development and provide agile response in operation
Next: controlled vocabularies, navigation of results, repository integration, recommendations, ...
We want to explode myExperiment into an e-Lab – what are the components, services and research objects?
Contributions of the National Centre for e-Social Science have been crucial
Closing remarksClosing remarks
Contact
David De [email protected]
Carole [email protected]
Further infowiki.myexperiment.org
Thanks
The myGrid ConsortiumNational Centre for e-Social Science