Doing research better: The role of meta‐data

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Doing research better The role of metadata David Leon Professor of Epidemiology

description

Presentation given by David Leon, Professor of Epidemiology at the London School of Hygiene and Tropical Medicine in January 2012. Subsequently reused at various internal events

Transcript of Doing research better: The role of meta‐data

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Doing research betterThe role of meta‐data 

David LeonProfessor of Epidemiology

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Sharing Data imperative

• Consensus among Research Funders (MRC, WellcomeTrust, ESRC, NIH etc. etc.) that studies they fund should make their data accessible to wider scientific community

• This does NOT mean data is “dumped” onto the web and made freely accessible without restriction

• Emphasis on establishing principle, mechanisms and transparent procedures

• Underpinned by belief that replication, pooling and “new ideas for old data” advance scientific knowledge

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Perceived and real costs of data sharing(the researchers perspective)

• Intellectual property• Motivation of researchers (why bother if other researchers feed off my life’s work)

• Huge time commitment to educate 3rd party users and tell them about what data there is, what’s its strengths and weaknesses are etc.

• My team’s time taken up providing datasets and servicing endless requests and queries

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LSHTM initiative onresearch data (2009‐10)

David Leon (Chair)Taane Clark, Paul Fine, Judy Green

(Faculty representatives ) Carolyn Lloyd (Librarian)Victoria Cranna (Archivist)Sheena Wakefield (NST)

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http://intra.lshtm.ac.uk/infoman/research/

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Useful external linkshttps://intra.lshtm.ac.uk/infoman/research/research_resources.html

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Key recommendations• Develop portal/gateway for discovery of key data assets;• Develop web‐based resources for researchers; • Develop policies/guidance on : – obtaining appropriately wide consent to permit data sharing, – maintenance of confidentiality and minimising risk of disclosure of identities, – establishment of data access processes and model data sharing agreements, – inclusion of adequate budget lines on new grant applications (reflected in pFACT), – best practice and minimal standards for data documentation; • Review institutional incentives for developing meta‐data; • Review career pathways for information specialists;• Introduce staff, taught course and doctoral training on 

documentation and meta‐data – principles and practice;• Encourage flag ship data sets/resources to develop high 

standard meta‐data and access procedures

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Recommendations fully accepted by SMT in summer 2011

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Improving how we document data:

Raising standards and lowering barriers

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Trolley bus syndrome

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The codebook is here….  somewhere

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We can do better ….

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What is meta‐data ?

• It’s data about data• Two levels :

– Study‐level description • Setting, numbers of subjects, endpoints, exposure variables, biological samples collected

• Who to contact to find out more etc.– Variable level description

• Instrument/questionnaire used• Frequencies/means/missing values• Comments on validity/utility 

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Web‐based applications provide high level of functionality

• Enables discovery of data• Easy to navigate (hyperlinks are great strength)

• Can combine access to meta‐data with documentation of instruments including protocols, questionnaires etc.

• As appropriate allows “drill‐down” from study level to variable‐level

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Up‐sides of good (web‐based) variable‐level meta‐data

• Facilitate analysis by existing researchers• Reduce induction of new researchers in own group or visitors

• Reduce costs of providing data to bona fide 3rdparty researchers

• Easy to edit, add to and update• Can have “shopping‐basket” facility

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Down‐sides of web‐based variable‐level meta‐data

• Requires investment – Funders claim they will pay

• Not appropriate for all studies (scale, duration of future use)

• Lack of clarity about best platform – DDI3 – open source looks very promising

• Limited experience at LSHTM

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Some examples …

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URLs

• Aberdeen Children of the 1950s cohort studyhttp://www.abdn.ac.uk/aconf/

• Izhevsk Family Study (registration required)http://www.ifsmetadata.info/

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But … no one size fits all !

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Next steps at LSHTM

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Research Data Management Steering Group

• Established January 2012 by the Senior Leadership Team

• Chaired by Professor Anne Mills (Deputy Director Research)

• Time limited• Links to other initiatives (eg LSHTM Research Online)

• Resources obtained from WT (> Gareth Knight)