privacy and publication: challenges and opportunities for clinical data

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Privacy and Publication: challenges and opportunities for clinical data Varsha Khodiyar, PhD Data Curation Editor, Scientific Data Nature Publishing Group [email protected] @varsha_khodiyar @scientificdata Big Data Opportunities Using the NDA, 17 th October 2015

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Page 1: Privacy and Publication: challenges and opportunities for clinical data

Privacy and Publication: challenges and opportunities for clinical data

Varsha Khodiyar, PhDData Curation Editor, Scientific Data

Nature Publishing Group

[email protected]@varsha_khodiyar

@scientificdata

Big Data Opportunities Using the NDA, 17th October 2015

Page 2: Privacy and Publication: challenges and opportunities for clinical data

Reporting bias impacts human health

Oseltamvir: “only...effective...for the prevention and treatment of symptoms of influenza”

Cochrane Database Syst Rev. 2012 DOI: 10.1002/14651858.CD008965.pub3

Reboxetine: “overall an ineffective and potentially harmful antidepressant”BMJ 2010;341:c4737

Statins: “beneficial effect…on atrial fibrillation...is not supported by a comprehensive review of published and unpublished evidence”

BMJ 2011;342:d1250

Page 3: Privacy and Publication: challenges and opportunities for clinical data

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Withholding data impacts human health

Page 4: Privacy and Publication: challenges and opportunities for clinical data

Increasing support for data transparency

• Funder/institution policy and mandates1

• Regulatory agencies (EMA)• Legislation (FDAAA)• Non-governmental/academic (IOM, YODA)• Industry (CSDR)• Journals and ICMJE2

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1. Hahnel, Mark (2015): Global funders who require data archiving as a condition of grants. figshare. http://dx.doi.org/10.6084/m9.figshare.1281141

2. http://www.icmje.org/news-and-editorials/principles_data_sharing_jan2014.html

Page 5: Privacy and Publication: challenges and opportunities for clinical data

Publishers/journals and data access

• More reliable evidence – and papers• Journal mission/goals• Help community derive maximum benefit from research• Content innovation (facilitate more use and reuse)• Reliability (peer review)• Discoverability and visibility (bibliographic databases)• Linking and licensing content (open access)• Permanence (content and links)• Credit/incentives (article types and citations)• Encouraging and implementing good practice and policies

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Page 6: Privacy and Publication: challenges and opportunities for clinical data

Journal data policies

• Willingness to share stated (Annals Internal Medicine)• Data sharing implied by submission (BioMed Central*)• Data sharing implied as a condition of publication (Nature*)• Mandated data sharing with statement in paper (PLOS, BMJ -

for clinical trials)• Mandated data sharing with statement and link to data (non-

medical journals e.g. ecology, animal genomics)• Mandated open data as a condition of submission (Scientific

Data, GigaScience, F1000Research)

*Minimum requirement – some disciplines/journals may mandate

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STRONGER

1. Vines, T. H. et al. Mandated data archiving greatly improves access to research data. FASEB J. fj.12–218164– (2013). doi:10.1096/fj.12-218164

Page 7: Privacy and Publication: challenges and opportunities for clinical data

Data sharing via supplementary files

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Sandercock et al: The International Stroke Trial database. Trials 2011, 12:101 doi:10.1186/1745-6215-12-101

Page 8: Privacy and Publication: challenges and opportunities for clinical data

Data sharing via repository links

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Page 9: Privacy and Publication: challenges and opportunities for clinical data

Data sharing via repository links

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Page 10: Privacy and Publication: challenges and opportunities for clinical data

Data sharing via repository links

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Page 11: Privacy and Publication: challenges and opportunities for clinical data

Role of data journals/articles

• Data peer review• Outlet for ‘unpublishable’ data• Data discoverability• Data reusability• Permanence of datasets• Robust links with repositories• Credit/reward data generators• “Intelligently open data”

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Page 12: Privacy and Publication: challenges and opportunities for clinical data

Scientific Data

Page 13: Privacy and Publication: challenges and opportunities for clinical data

Scientific Data peer review

Peer review focuses on:• Completeness (can others reproduce?)• Consistency (were community standards

followed?)• Integrity (are data in the best repository?)• Experimental rigour and technical quality

(were the methods sound?)Does not focus on: • Perceived impact/importance• Size/complexity of data

Page 14: Privacy and Publication: challenges and opportunities for clinical data

An example Data Descriptor

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Human readable

representation of study

i.e. article (HTML & PDF)

Human readable representation

of studyi.e. article

(HTML & PDF)

Machine readable

representation of study

i.e. metadata

Page 15: Privacy and Publication: challenges and opportunities for clinical data

Scientific Data structured metadataIn-house curation team:• assists users to submit the

structured content via simple templates and an internal authoring tool• performs value-added

semantic annotation of the experimental metadata

analysis method script

Data file or record in a database

Page 16: Privacy and Publication: challenges and opportunities for clinical data

Data on (reasonable) request - issues

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• Meta-analysis fails to launch when <40% IPD available – unanswered requests and refusal to shareSystematic Reviews 2014, 3:97  doi:10.1186/2046-4053-3-97

• Poor availability of psychological research data (only 64/249 datasets available)American Psychologist 2006, 61(7) doi:10.1037/0003-066X.61.7.726

• Data received from 1/10 authors publishing in PLOS Medicine and PLOS Clinical TrialsPLoS ONE 2009, 4(9): doi:10.1371/journal.pone.0007078

• 38% of 394 requested datasets received from APA journal authorsCollabra 2015, 1(1): doi:10.1525/collabra.13

Page 17: Privacy and Publication: challenges and opportunities for clinical data

Clinical researchers support sharing

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Rathi V, Dzara K, Gross CP, Hrynaszkiewicz I, Joffe S, Krumholz HM, Strait KM, Ross JS: Sharing of clinical trial data among trialists: a cross sectional survey. BMJ 2012;345:e7570

• Sharing de-identified data via repositories should be required (236 respondents, 74%)

• Investigators should share de-identified data on request (229 respondents, 72%)

Page 18: Privacy and Publication: challenges and opportunities for clinical data

What are researchers’ concerns?

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Reproduced from: Rathi V, Dzara K, Gross CP, Hrynaszkiewicz I, Joffe S, Krumholz HM, Strait KM, Ross JS: Sharing of clinical trial data among trialists: a cross sectional survey. BMJ 2012;345:e7570

Page 19: Privacy and Publication: challenges and opportunities for clinical data

Better ways to share on request

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Yale Open Data Access (YODA) & Clinical Study Data Request (CSDR) projects:

• Data Use Agreements (DUAs)• Controlled access environment• Scientific validity of reanalysis checked• Independent governance• Data anonymisation checks

http://yoda.yale.edu/https://www.clinicalstudydatarequest.com/

Page 20: Privacy and Publication: challenges and opportunities for clinical data

Better way to publish data on request

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• Sensitive data repositories (e.g. UKDA)Permanence, curation, persistent identifiers,

versioning• Data-on-request services (e.g. YODA)

Independent governance, scientific review and transparency of access requests, DUAs

• Journals/publishersPeer review, visibility, credit/citations, robust

links+=

Page 21: Privacy and Publication: challenges and opportunities for clinical data

A robust data-on-request workflow?

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Hrynaszkiewicz, I., Khodiyar, V., Hufton, A. & Sansone, S. A. Publishing descriptions of non-public clinical datasets: guidance for researchers, repositories, editors and funding organisations. BioRxiv http://dx.doi.org/10.1101/021667 (2015).

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Open access Data Descriptor

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http://www.nature.com/articles/sdata201531

Page 23: Privacy and Publication: challenges and opportunities for clinical data

Open access Data Descriptor

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http://www.nature.com/articles/sdata201531

Page 24: Privacy and Publication: challenges and opportunities for clinical data

Linked to restricted access data

http://dx.doi.org/10.7910/DVN/25833All approved repositories:http://www.nature.com/sdata/data-policies/repositories

Page 25: Privacy and Publication: challenges and opportunities for clinical data

Key recommendations

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• Clinical researchers: Prepare to share on request, with short embargoes

• Repositories: Develop mechanisms to host clinical data non-publicly and manage access requests; collaborate with journals

• Editors and publishers: Check policy compliance for every submission and facilitate peer reviewer access to data; collaborate with repositories

• Sponsors and funders: Partner with trusted repositories and ensure that data access requests are proportionately reviewed without introducing unnecessary barriers

Page 26: Privacy and Publication: challenges and opportunities for clinical data

Repositories for non-public data should

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• Provide stable identifiers for metadata records• Allows access to data with the minimum of

restrictions, codified in DUAs• Ideally be independent of the study sponsors• Have a transparent and persistent system for

requesting access to data and reviewing requests to access data

• Allow access to data in a timely manner• Ensure long-term preservation of data in their non-

public form

Page 27: Privacy and Publication: challenges and opportunities for clinical data

Visit nature.com/sdata

Email [email protected]

Tweet @ScientificData

Honorary Academic EditorSusanna-Assunta Sansone

Managing EditorAndrew L. Hufton

Data Curation EditorVarsha K. Khodiyar

Advisory Panel and Editorial Board including senior researchers, funders, librarians and curators

Supported by