Science Editor Symposium: Reproducibility & Reporting...

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5/22/2019 1 Science Editor Symposium: Reproducibility & Reporting Guidelines (4.3) #CSE2019 Sarah Brooks, PhD Editor, American Journal of Political Science Sowmya Swaminathan, PhD Head of Editorial Policy, Nature Research Hashi Wijayatilake, PhD Managing Editor, PLOS Biology Moderator: Jonathan Schultz Director, Journal Operations, AHA Editor, Science Editor 2019 CSE ANNUAL MEETING MAY 4-7, 2019 · COLUMBUS, OH American Journal of Political Science Jan E. Leighley, Editor Sarah M. Brooks, Mary G. Dietz, Jennifer L. Lawless, Layna Mosley, Rocio Titiunik Associate Editors Midwest Political Science Association

Transcript of Science Editor Symposium: Reproducibility & Reporting...

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Science Editor Symposium:

Reproducibility & Reporting Guidelines (4.3)

#CSE2019

Sarah Brooks, PhD

Editor, American Journal

of Political Science

Sowmya Swaminathan, PhD

Head of Editorial Policy, Nature Research

HashiWijayatilake, PhD

Managing Editor,PLOS Biology

Moderator:Jonathan Schultz

Director, Journal Operations, AHA

Editor, Science Editor

2019 CSE ANNUAL MEETINGMAY 4-7, 2019 · COLUMBUS, OH

American Journal of Political Science

Jan E. Leighley, EditorSarah M. Brooks, Mary G. Dietz, Jennifer L. Lawless,

Layna Mosley, Rocio TitiunikAssociate Editors

Midwest Political Science Association

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Journal Impact The American Journal of Political Science is known for:

• Outstanding contributions to scholarly knowledge about

notable theoretical concerns, empirical issues, or

methodological strategies in any subfield of political science

• A reputation for publishing cutting-edge methodological

approaches, and especially quantitative analyses

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Replication and Verification in

Political Science

1995: Gary King’s “Replication, Replication”

The same year: AJPS editors, et al., ask

authors to make data available

2012: AJPS Editor requires data sets to be

uploaded to AJPS Dataverse

2016: Editor establishes guidelines for

replication files, and requires external

verification as a condition of publication

The “Replication” Process

1. Authors are given conditional acceptance, and are required to upload replication files to Dataverse.

2. For quantitative analyses, the verification process is carried out by the Archive Staff at the Odum Institute for Research in Social Science, at the University of North Carolina, Chapel Hill.

3. For qualitative analyses, the verification process is undertaken by the Qualitative Data Repository (QDR), at Syracuse University.

4. If code provided by author does not replicate analytical results, then Odum/QDR provides report to journal office, which communicates issues to authors.

5. After Odum/QDR confirms that all analytical results are verified, replication data set is awarded open science badges for “open materials” and/or “open data” and accepted paper is sent to publisher.

6. Exemptions are allowed for restricted access data and human subjects protection; if data are not made publicly available, code and other documentation are still available.

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Quantitative Open Data, Open Materials Verification:The data and materials required to verify the computational reproducibility of the

results, procedures and analyses in this article are available on the American Journal of Political Science Dataverse within the Harvard Dataverse Network, at

Qualitative Open Data, Open Materials Verification:The data and materials required to verify the results, procedures and analyses in this

article are available on the American Journal of Political Science Dataversewithin the Harvard Dataverse Network, at:

Quantitative Open Data PA/PR Open Materials PM:The materials required to verify the computational reproducibility of the procedures

and analyses in this article are available on the American Journal of Political Science Dataverse within the Harvard Dataverse Network. The data required to

verify the computational reproducibility of the results are available from [Repository Name], under protected access, as described on the American

Journal of Political Science Dataverse, at:

Costs & Benefits of our Replication Process

• Demands a high level of documentation on the part of authors; most code does not run on first try; multiple re-submissions are usually required

• External verification adds 50-60 days to publication; some of this is due to author response time.

• Increases demands on editorial office (manuscript flow, author communications)

• Establishes a high bar for analytical rigor

• Provides data sets for replication, as well as teaching purposes

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Challenges

• Limitations of computational reproducibility

• Terminological confusion

• Qualitative verification (n=1)

• “Distracts” from other serious issues?

Transparent reporting at Nature

journals

Sowmya Swaminathan, Head of Editorial Policy,

Nature Research

Council of Science Editors, May 2019

Illustra

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• Set editorial policies (methodology including reporting standards, data, code,

materials, protocols)

• Facilitate compliance (implementation/infrastructure/service solutions)

• Provide innovative publication venues (data journals, registered reports)

• Align on and adopt community standards (eg., reporting standards, data

policies)

How can journals support reproducible research?

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2013: Nature journal reporting checklist for life science articles

• Covers poorly reported experimental

design and analytical details

• Requires reporting of blinding,

randomisation, sample size estimation, &

in-lab replication

• Sets standards on reporting of statistics

• Sets standards on reporting of reagents

esp. antibodies, cell lines

• Consolidates policies on data and code

• Mandatory on papers undergoing review

• Reviewer access to checklist

• Monitor compliance with required items

2017:

• Publishing checklist with paper

Landis

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Understanding impact: transparency of reporting in Nature journal papers

1. Did a change in Nature journals’ editorial policy for life sciences research improve reporting? The NPQIP

Collaborative Group (Malcolm Macleod & colleagues, University of Edinburgh, BMJ Open Science

2019;3:e000035

*Randomisation, Blinding, Sample size calculation *Reporting Statistics

Significant improvement in statistics reporting for

in vivo & in vitro

• exact sample size,

• definition of t-test,

• whether assumptions of test were checked,

• whether technical or biological replicates

“we saw improvements in the transparency of reporting, the observed

improvements in experimental design were much more modest. “

2. Han S, Olonisakin TF, Pribis JP, Zupetic J, Yoon JH, Holleran KM, et al. (2017)

A checklist is associated with increased quality of reporting preclinical

biomedical research: A systematic review. PLoS ONE 12(9): e0183591.

https://doi. org/10.1371/journal.pone.0183591

“Specifically, improvement in reporting of the three methodological

information was at least three times greater when a mandatory

checklist was implemented than when it was not.”

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““““83% of surveyed Nature authors felt that the 83% of surveyed Nature authors felt that the 83% of surveyed Nature authors felt that the 83% of surveyed Nature authors felt that the

checklist had significantly improved reporting of checklist had significantly improved reporting of checklist had significantly improved reporting of checklist had significantly improved reporting of

statistics within papers published in statistics within papers published in statistics within papers published in statistics within papers published in NatureNatureNatureNature

journals“journals“journals“journals“

Perceptions of improvements in published papers due

to checklist

83%

58%

55%

30%

27%

4%

Better reporting of statistics

Increased data deposition in

public repositories

Better reporting of reagents

Better reporting on animal

models

Adoption of anti-biasing practices

Other

Perceived areas where quality has

improved following implementation

of the checklist

n = 172

From 2017 survey of published Nature journal authors; https://figshare.com/articles/Nature_Reproducibility_survey_2017/6139937Reproducibility

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• 78% of surveyed 78% of surveyed 78% of surveyed 78% of surveyed Nature Nature Nature Nature journal authors journal authors journal authors journal authors

continue to use the checklist at least to a continue to use the checklist at least to a continue to use the checklist at least to a continue to use the checklist at least to a

small extent with their continued worksmall extent with their continued worksmall extent with their continued worksmall extent with their continued work

• Roughly a quarter are using it to a large Roughly a quarter are using it to a large Roughly a quarter are using it to a large Roughly a quarter are using it to a large

extent. extent. extent. extent.

Understanding impact: Research practise & researcher behaviour

23%

28%27%

22%

Degree to which the checklist has seen

continued implementation irrespective of

planned journal submission in the future

To a large extent

To a moderate extent

To a small extent

Not at all

� Consideration of checklist in research practise

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Understanding impact: Author perceptions

50.3%

36.8%

44.0%

16.1%

9.8%

10.3%

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

Strongly

agree

Agree

• “I loved the checklist so much, that I

forwarded it everyone in the lab to

adhere to it for all manuscripts and

keep an account.”

• “We found the exercise very useful and

we certainly acknowledge the value of

this initiative from NCB (it should be

extended to every journal!).”

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Lessons learnt, challenges & opportunities

Checklists can work to influence research practise & reporting standards

• Make it a requirement

• Monitor compliance

BUT..

• Monitoring compliance is resource-intensive

• Journal-driven approaches must be complemented by training and

mentoring

• Align on reporting standards across publishers, funders and

institutions

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Toward minimum reporting standards for life scientists

WHO: Group of journal editors and experts in reproducibility and transparent

reporting

Nature Research (Springer Nature), PLOS, Science (AAAS), Cell Press (Elsevier), eLIFE, Wiley, Malcolm

MacLeod (Univ of Edinburgh); David Mellor (Centre for Open Science)

https://osf.io/preprints/metaarxiv/9sm4x/

AIM: Improve reproducibility!

• A “minimum standards” framework: a framework setting out minimum expectations for

reporting across four core areas :Materials (including data and code), Design, Analysis and

Reporting (MDAR)

• A “minimum standards” checklist: tool to help journals and researchers in adoption of the

framework

• An “elaboration document” or user guide: provides context for the “minimal standards”

framework and checklist

NEXT STEPS:

• Pilot checklist with small group of journals

• Refine with feedback from wider group of stakeholders including researchers, reproducibility

experts, funders and others

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The story behind the image

Dorothy Hodgkin (1910–1994)

Dorothy Hodgkin pioneered the application of x-ray

crystallography techniques to determine the three-

dimensional structure of biomolecules, helping to unravel

how their atomic arrangements influence how they work in

the body. She remains the only British woman scientist to

have been awarded the Nobel Prize for Chemistry.

Thank you!

Contact:

Sowmya Swaminathan

Email: [email protected]

Twitter: @SowmyaSwaminat1

Hashi Wijayatilake

Managing Editor, PLOS Biology

May 2019

PLOS Biology

CSE Science Editor Symposium:

Reproducibility & Reporting

Guidelines

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Multi-pronged approach to promoting reproducibility and reporting

•Registered reports

•Scooping policy

Counter publication bias

•Policies: sharing materials, data, code

•Enabling: sharing protocols, reagents

Open research practices

•Preprint deposition upon submission

•Published peer review

Open publication process

• Scooping policy (aka Complementary Research Policy)

Counter publication bias

- “The importance of being second”

- Will consider manuscripts that confirm or extend a study published within last 6 months

- Value for reproducibility - “organic” replication via a complementary (‘scooping’) study is even better than a post-hoc replication study.

“there is a self-evident benefit to publishing complementary research, and at PLOS Biology, we consider that two papers

from two groups independently identifying the same phenomenon in parallel increase the confidence in the

results of the work.” [PLOS Biology Editorial]

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• Registered reportsCounter

publication bias

- Launching on PLOS Biology, in collaboration with CHDI (a not-for-

profit Huntington’s Disease research org.)

- Study proposals are assessed for: experimental design, ethical approval plan, data sharing plan etc.

� commitment to publish, regardless of study outcome, if Registered Report passes peer review

- Aim: - Increase rigor and robustness of experimental design- Well-designed and well-conducted studies are published

regardless of eventual results and study outcome

• Policies: sharing materials, data, code

• Enabling: sharing protocols, reagents

Open research practices

- Data Policy – authors required to make all data underlying

their findings fully available without restriction at the time of publication (checked and enforced on PLOS Biology)

- Materials sharing - strongly encourage deposition of materials

in repositories (e.g. Addgene)

- RRIDs - Research Resource Identifiers (RRIDs) for citing and

uniquely identifying research resources.

- Protocol deposition - directly partnering with protocols.io to

enable authors to share protocols & methodological details - Authors obtain a unique DOI for their protocols and link

directly to these from the Methods section in their articles

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• Preprint deposition upon submission

• Published peer review

Open publication process

- Preprint posting:- PLOS partnership with bioRxiv to enable automatic preprint

posting of submitted research articles- Authors given choice to opt in- Empowers authors to share their work on a trusted platform

during peer review

- Published Peer Review (coming soon):- Authors choose (at acceptance) whether to make the peer

review history public- Reviewers choose whether to reveal their identities- If author opts in – decision letters, reviews and author

responses to reviewers are published along with the article

Reporting checks

- No formal checklist adapted yet but editors manually check certain reporting items on accepted papers.

- PLOS Biology will be one of the journals testing the MDAR checklist over the next few months (Materials, Design, Analysis & Reporting checklist)

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� 2,400 preprints posted

on behalf of authorssince May 2018

488 protocols related to 263 PLOS

articles in

2 trials Registered Reports

Grants

>112,000 articles published with

Data Availability Statements

� 25% with data in public

repositories� Supplementary

information in

Questions & Discussion

We’re always interested in your feedback, suggestions, or submissions.

Contact us at [email protected]

CSEScienceEditor.org