Open Science at Web-Scale: Breaking all Barriers? Dr Liz Lyon, Director, UKOLN, University of Bath, UK Associate Director, UK Digital Curation Centre eResearch Australasia, November.
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Open Science at Web-Scale: Breaking all Barriers? Dr Liz Lyon, Director, UKOLN, University of Bath, UK Associate Director, UK Digital Curation Centre eResearch Australasia, November 2009 UKOLN is supported by:. This work is licensed under a Creative Commons Licence Attribution-ShareAlike 2.0 www.ukoln.ac.uk A centre of expertise in digital information management UKOLN / DCC Consultative Report Six areas for consultation Published 10 Nov http://www.jisc.ac.uk/publications/documents/opensciencerpt.aspx Roadmap • Research Data Signposts : Directions of travel • Barriers, Fuel or Freeway : Scale, Openness, Attribution • Capacity and Capability :Driving transformational change http://www.flickr.com/photos/lenakorsnes/3284269/ Research Data Signposts : Directions of travel http://www.flickr.com/photos/leongsoong/2429599748/ http://containerconversions.com/containergallery.php?cat=15 Your data in their Cloud? “all too many observations lie isolated and forgotten on personal hard drives and CDs trapped by technical, legal and cultural barriers...” Share my data? November 2009 Why? Lack of awareness of potential? Reluctance to collaborate and share? The slow socialisation of science • Science as a social activity • Inter-institutional collaboration – better science (Brian Uzzi, 2008) • Team science at Web-Scale? Tweet Blog Comment Rate Vote Recommend Tag Share Mash Barriers, Fuel or Freeway : • Scale • Openness • Attribution http://www.flickr.com/photos/natmeister/2153749348/ www.ukoln.ac.uk A centre of expertise in digital information management • Pacific Biosciences California • Next-next generation sequencing • Single molecule sequencers • Complete human genome in 15 minutes by 2013 www.ukoln.ac.uk A centre of expertise in digital information management www.ukoln.ac.uk A centre of expertise in digital information management • Infrastructure for Integration in the Structural Sciences (I2S2) • “Bridging the chasm” between large scale facilities and the laboratory bench • Integrated Information Model based on the Core Scientific MetaData Schema and the DCC Curation Lifecycle Model • Use cases and Inter-disciplinary Pilots • Cost-benefit analysis: before and after Transcalar 4D data modelling of pancreatic organogenesis in mouse Virtual pancreas computational model anticipates in vivo biological findings • Citation of models? • Curation & preservation 72 partners (Europe) >40 models (coastal seas) of models? > 15 institute feeds Validation & verification? Societal implications? “We can accurately estimate the current level of weekly influenza activity in the US with a reporting lag of about one day.” Barriers, Fuel or Freeway : • Scale • Openness • Attribution http://www.flickr.com/photos/natmeister/2153749348/ Participation Citizen science Continuum of Openness Volunteers interested amateurs Professional, experts Lone scholar “dark data” Closed Creative Commons Attribution-Non-Commercial-Share Alike 2.0 Open access Access Radical? Fringe? Transferable to other disciplines? Peer Production Can this model be applied to other disciplines? Cost benefits? An early citizen scientist? 110 years later Still engaging the public in science.... Working with professional scientists How can scientists learn from citizen journalists? Privacy issues? “You have zero privacy anyway. Get over it” Scott McNealy, CEO Sun Microsystems, 1999 Solve puzzles for science Crowdsourcing science? “Collaboration market” New business model? Costs? Benefits? Risks? • • • • Attitudes to citizen science? Strategy & policy implications for funders? Impact on research quality? Societal implications? Barriers, Fuel or Freeway : • Scale • Openness • Attribution http://www.flickr.com/photos/natmeister/2153749348/ • H Factor – from Google Scholar • Grant/Manuscript Review Factor – cumulated authenticated reviews • Annotations/Software/Datasets Factor – cumulated entries to OA archive (data, sequences, software) • Web Factor – authenticated blog / wiki posts • Formal recognition? • Incentive and reward structure? • Research funder position? • Publisher / learned society view? Dec 16, Washington DC Capacity and Capability: Driving transformational change http://www.flickr.com/photos/31601954@N07/2960517039/ Research Infrastructure: primary components People Skills Workflows Research Infrastructure Data Services Process Is your institution ready for open science at Web-Scale? New academic structures? New policies? IPR issues? Library and Information Services roles? Open Science at Web-Scale Report 2009 New roles, new skills, new curricula? Advocacy & support? Capacity Community curation Data Informatics: Logistics dilemma Annotation Audit Data cleansing Data management plans Metadata schema Observations Ontologies Preservation Selection & Appraisal Training Visualisation Peer production Data scientists , LIS Professional scientist Capability Citizens Volunteers, interested amateurs Creative Commons Attribution-Non-Commercial-Share Alike 2.0 Professional scientist Take homes 1. Open Science = accessible data + wider participation 2. We need new metrics 3. Are our institutions ready? 4. Capacity : Capability 5. Articulate range of values and benefits http://www.flickr.com/photos/dtmateojr/3835521363/ For Rosalind Franklin http://www.britannica.com/EBchecked/topicart/217394/99712/Rosalind-Franklin http://profiles.nlm.nih.gov/KR/B/B/H/K/ For whom, open science came too late... Moving to Multi-Scale Science: Managing Complexity & Diversity Thank you Slides will be available at : http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/presentations.html http://www.dcc.ac.uk/