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Middle author dilemma: how to recognize critical contributions of multidisciplinary teams Melissa Gymrek University of California San Diego COASP 2016 Outline Why is authorship order so important? The sandwich model of authorship It


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Middle author dilemma: how to recognize critical contributions of multidisciplinary teams

Melissa Gymrek

University of California San Diego COASP 2016

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Outline

  • Why is authorship order so important?
  • The sandwich model of authorship
  • It get’s complicated: case studies
  • Potential improvements
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Authorship is the currency of academia

  • Job applications
  • Grants
  • Promotions
  • Recognition
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Overheard on the job market

Anonymous on applying for an assistant professorship at their institution

If you don’t have three first-author Nature, Science, or Cell papers, they’ll just throw your application in the trash

“ ”

Anonymous on how their search committee ranks candidates

We do consider co-first author papers, but only count them as half when counting publications.

“ ”

Anonymous on how their search committee ranks candidates

Middle author papers don’t really count much.

“ ”

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The sandwich approach to authorship

First author, ………, Middle authors, ......, Collaborator, Senior author

(e.g. ¡Post-­‑doc) ¡ (e.g. ¡Staff, ¡graduate ¡student) ¡ (Principal ¡Inves:gators) ¡ Did ¡most ¡of ¡the ¡work ¡ Led ¡the ¡project ¡

* ¡

*Corresponding ¡author ¡

Co-senior author1, Senior author1

1These authors supervised this work equally

Author 2, Author 3, Author 4, …….. Author 100 First author+, Co-first author+

+These authors contributed equally

Lab ¡technician, ¡doctor, ¡soFware ¡engineer, ¡sta:s:cian, ¡applied ¡mathema:cian ¡

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An objective approach to author order? Example: Stephen Kosslyn’s “points” system

  • The idea (250 points)
  • The design (100 points)
  • The implementation (100 points)
  • Conducting the experiment (100 points)
  • Data analysis (200 points)
  • Writing (250 points)

Minimum 10% required for authorship Order determined by points

hGp://kosslynlab.fas.harvard.edu/files/kosslynlab/files/authorship_criteria_nov02.pdf ¡

But it’s not always that easy…

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Papers can have tens or hundreds of authors

  • Experimental biologist
  • Medical doctors
  • Statistician
  • Applied mathematician
  • Software engineer
  • Data scientist
  • And more…

A single paper may involve: Authorship policies should encourage this kind of collaboration! But they often don’t…

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Case Study1: Co-authorship

Pros: ¡

  • Accommodates ¡mul:disciplinary ¡studies ¡
  • Technically ¡gives ¡equal ¡credit ¡to ¡both ¡authors ¡

¡ Cons: ¡

  • Usually ¡cited ¡as ¡“FirstAuthor ¡et ¡al.” ¡
  • In ¡print ¡one ¡name ¡must ¡be ¡listed ¡first ¡

Co-first author 1*, Co-first author 2*, ………

*These authors contributed equally to this work Co-first author 1: Post-doc, designed and performed experiments Co-first author 2: PhD student, led data analysis

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Case Study1I: Consortia

1000 Genomes Project – author list

Pros: ¡

  • Allow ¡for ¡huge ¡mul:-­‑ins:tu:on ¡collabora:ons ¡

Cons: ¡

  • Hard ¡to ¡discern ¡contribu:ons ¡of ¡any ¡one ¡author ¡
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Case Study III: “Gift authorship”

Cons: ¡

  • Dishonest ¡portrayal ¡of ¡who ¡was ¡involved ¡
  • Gives ¡a ¡false ¡impression ¡of ¡whose ¡lab ¡led ¡the ¡project ¡

First author, ……, Co-senior author 2*, Co-senior author 1*

*To whom correspondence should be addressed Co-senior author 1: Led and funded the study Co-senior author 2: First author’s advisor, not involved in this study

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Idea 1: Explicitly describe author contributions

Example: ¡

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Idea 2: Smaller citable units

Example: Supplemental “chapters”

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Idea 3: Cite things that aren’t publications

  • Cite source code
  • JOSS (The Journal of Open Source

Software) http://joss.theoj.org/ - a developer friendly journal for research software packages

  • Zenodo http://zenodo.org/ - get a DOI for a

github repo

  • Cite data, presentations, posters, etc.
  • DataCite – assigns DOIs to datasets
  • Figshare – share research outputs, e.g. data,

figures, videos. DOI from DataCite

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Summary

  • Authorship order is a tricky issue, especially in

large, multidisciplinary studies

  • Authorship is the primary criterion by which

scientists are evaluated

  • Authorship policies should promote

collaboration and reward diverse types of contributions

  • Existing solutions aren’t perfect
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Acknowledgements

Broad Institute Sci Pub Working Group Journal of Open Source Science Alon Goren Yossi Farjoun Shai Fuchs