Open Participatory Science

JISC/CNI Workshop 2012

Open Participatory Science

Philip E. [email protected]


My Perspective

• US centric• Associate Vice Chancellor (Administrative)• Professor (Faculty, Education)• Resource provider (PDB)• OA advocate (PLoS EIC)• Comp Biol / life sciences (Research)


Future Scenario - Research

• At home, prior to leaving for the lab., Jane, syncs her iResearcher with the latest feed from her discovery tool. On the bus she reviews the stream, selecting a video “paper” close to her interest in HIV-1 proteases. The data shows apparent anomalies with her own work. By the time the bus stops she has recomputed the results, proven the anomaly and written a rebuttal and sent it to the open institutional archive for community scrutiny. Later in the day she reviews the associated commentary and notes from the institutional librarian about other on-line resources she should consider to support her argument. After further work that evening she triggers a link to the journal from the institutional archive which at the same time invokes several social media sources raising awareness of the rebuttal


Implications

• We have discovery informatics tools that work narrow and deeply

• The “paper” becomes a seamless source of data and methods to reproduce the experiment

• Librarians are the custodians of institutional repositories

• Institutional repositories are useful


Future Scenario - Education

• Mary has decided she want to pursue an undergraduate degree with a major in biochemistry.

• A review of the higher education portal provides a rank ordered list of institutions with associated costs, virtual course catalog, in person structure, and success ranking.

• She chooses the World University campus in Birmingham (WUB) for the depth of its virtual offerings and forward looking group participatory structure and new experimental labs.


Implications

• Basic lectures are virtual learn at your own pace and supplemented by professorial meetings. The open education courseware system that the WUB has access to provides lectures by world leaders who are excellent educators

• The group participatory structure has labs where the professor actually works with students

• Student ratings drive enrolments and course structure


Other Drivers of Change:The Story of Meredith

• Citizen Science beyond the norm• Made possible by OA• Children heard but not seen

• Academic institutions are hierarchical knowledge acquisition is not


Institutional Response Thus Far

• Universities - Limited– Institutional repositories– Libraries – funding issues– My corridor – Research Works Act– UCSF – Faculty speaking

• Government - Drivers– NIH/Wellcome etc OA policies– NSF/NIH Data sharing policies


What is Needed? - Government

• Enforcement of data sharing policies• Enforcement of open access policies• Standardization of their own archives• Guaranteed funding of archives (eg PDB)• Mechanisms to support international efforts –

science is global; funding is not


What is Needed? - Institution

• Recognition of staff as faculty• Centers of Scholarly Innovation• Push for institutional repository standardization

leading to quality improvements, reproducibility etc.• Make institutional repositories more customer

valuable and friendly• Better educate Committees on Academic Promotion• Recognize and reward innovation in scholarly

communication


What is Needed? - Faculty

• Reward!• Push publishers• Better sharing between those in the know and

those not• Exemplars that really show broad value –

examples to date:– Google Scholar Profile– Mendeley– Evernote


One Solution: Use the Traditional Reward System in New Ways

The Wikipedia Experiment – Topic Pages

• Identify areas of Wikipedia that relate to the journal that are missing of stubs

• Develop a Wikipedia page in the sandbox

• Have a Topic Page Editor review the page

• Publish the copy of record with associated rewards

• Release the living version into Wikipedia


What new skills and infrastructures do we need?

• Data journals• App model for science• Publish workflows• Better use of rich media


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How do we create meaningful and effective engagement with the key players?

• Government– Funding across the stakeholders

• Increase the visibility an deliverables of the efforts to date– Force11


What are the new roles and responsibilities required?

• Librarians need to convince university administrators of the value of a new and emerging role

• Need high level administrators responsible for on-line educational content

• Need on-site faculty and student training of new technologies


Workshop Objective

• The objective of the event is to identify opportunities for research universities to capitalise on new and emerging forms of scholarly discourse. The outcomes of the event will be increased understanding of the opportunities from changing scholarly communications for universities to build on their core mission, whilst offering technical and thought leaders a chance to explore institutional needs and concerns in order to help shape future innovations. It will contribute to a shared international understanding of the issues facing universities and other stakeholders. Outputs will be a high quality report and record of the proceedings via different media.


Session Objective• As digital communications present the opportunity for researchers

to reach out into the global publics, what does this mean for how we manage and present our scholarly activity? High-profile citizen science initiatives and inter-disciplinary volunteering efforts, enhanced data sharing and re-use and emerging data science agendas are all having a significant impact on domain practice, institutional infrastructure and requirements for new roles and responsibilities. These are accompanied by innovative experimentation with new publishing platforms and novel approaches to assuring research integrity, quality and peer-review. How do we create meaningful and effective engagement with the key players? What are the new roles and responsibilities required? What new skills and infrastructures do we need?


From Liz• -citizen science, volunteer computing, collective intelligence approaches to problem

solving like Innocentive, working with the public, barriers, incentives, platforms, public engagement initiatives

• -data science, data publishing, data-driven research practice, data mining, data-driven models and simulations

• -open data practices, data sharing and associated issues (ethics, privacy, consent, confidentiality), legal and licensing issues (IP, FoI, DP) perhaps referencing genome data

• -data quality, research integrity aspects• -data citation, peer review of data, data credit, attribution, recognition and reward - new

approaches (though one of the afternoon sessions will explore metrics)• -implications for universities - benefits, challenges, new infrastructure, new services,

professional support, costs and financial impact of new business models• -implications for individuals - benefits, challenges, changing researcher skills, tools,

methodologies; changes for information professionals, increasing requirement for informatics expertise and data scientists

• - what can institutions and individuals do to realise the potential?

Open Participatory Science

Education

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