Science 2.0 and the Future of Publishing

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Science 2.0 and the Future of Publishing David De Roure Position The paper is an archaic human-readable form of a Research Object The social process of Science 2.0 1.0 Digital Libraries Virtual Learning Environment Undergraduate Students Next Generation Researchers scientists Graduate Students Reprints PeerReviewed Journal & Conference Papers Technical Preprints Reports & Metadata experimentation Repositories Local Web Certified Experimental Results & Analyses Data, Metadata, Provenance, Scripts, Workflows, Services, Ontologies, Blogs, ...  “Facebook for Scientists” ...but different to Facebook!  A repository of research methods  A community social network of people and things  A Virtual Research Environment  Open source (BSD) Ruby on Rails application with HTML, REST and SPARQL interfaces  Project started March 2007  Closed beta July 2007  Open beta November 2007 myExperiment currently has 1800 registered users, 150 groups, 700 workflows and 50 packs. Go to www.myexperiment.org to access publicly available content or create an account. myExperiment Features             User Profiles Groups Friends Sharing Tags Workflows Developer interface Credits and Attributions Fine control over privacy Packs Federation Enactment Distinctives Bringing myExperiment to the user iGoogle Taverna Facebook Windows 7 Sharing pieces of process http://www.mygrid.org.uk/tools/taverna/ http://www.microsoft.com/mscorp/tc/trident.mspx http://usefulchem.wikispaces.com/page/code/EXPLAN001 Reuse, Recycling, Repurposing  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. Paul’s Pack Included in Workflow 16 Results produces QTL Published in Included in Feeds into Logs produces Included in Included in Metadata Slides produces Paper Published in Common pathways Workflow 13 Results Exporting packs http://rdf.myexperiment.org/Aggregation/Pack/56 Scientific Discourse Relationships Ontology Specification Open Provenance Model Communications of the ACM 51, 4 (Apr. 2008), 52-58 The Seven Rs of Research Objects Research Objects enable research to be: 1. 2. 3. 4. 5. 6. 7. Replayable – go back and see what happened Repeatable – run the experiment again Reproducible – new expt to reproduce results Reusable – use as part of new experiments Repurposeable – reuse the pieces in new expt Replicatable – run more of the same Robust – unbiased systematic science at speed Curation Self by Service Providers refine validate seed refine validate Experts seed Workflows and Services refine validate seed seed refine validate Social by User Community Automated e-Laboratory Evolution 1st Generation Current practice of early adoptors of e-Labs tools 2nd such as Taverna, ELNs, LIMS. Generation Designing and delivering tools within their Characterised by researchers using now, based on experience 3rd Generation with Taverna, myExperiment and tools, particular problem area, with some- re-use ofLablogs. delivering in 5 years The vision the e-Labs we'll be data and methods within the discipline. of science and open source science. Key characteristic is re-use - the increasing pool of illustrated by open Traditionaltools, data and methods, across areas & disciplines. publishing isCharacterised by global reuse of tools, data and supplemented by publication of some digital items like freestanding, recombinant, and surfacing the methods across links to data. Contain some workflows and any discipline, reproducible right not shared and Provenance is recordedResearch Objects. re-used. researcher. but levels of complexity for the analytics plays a role. Science is Provenance and practice beginning to accelerated Key characteristic is radical sharing Research shift to emphasise in silico supplemented by community Expert curation work. is significantly data driven - plundering the backlog of data, results and methods. curation. Research Objects supersede papers. New scientific practices are established and Increasing automation and decision-support for the opportunities arise for completely new scientific researcher - the e-Laboratory becomes assistive. investigations. Provenance assists design. Curation is autonomic and social. Entirely new research outcomes are obtained. Summary • Understand the Web 2 generation of researchers and the changing nature of research practice • Papers will be superseded by discoverable and shareable Research Objects that are: replayable repeatable reproducible reusable repurposeable replicatable robust • “Could I have a copy of your Research Object please?” Contact David De Roure dder@ecs.soton.ac.uk Carole Goble carole.goble@manchester.ac.uk Visit wiki.myexperiment.org

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