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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


  1. Middle author dilemma: how to recognize critical contributions of multidisciplinary teams Melissa Gymrek University of California San Diego COASP 2016

  2. Outline • Why is authorship order so important? • The sandwich model of authorship • It get’s complicated: case studies • Potential improvements

  3. Authorship is the currency of academia • Job applications • Grants • Promotions • Recognition

  4. Overheard on the job market “ If you don’t have three first-author Nature, Science, or Cell ” papers, they’ll just throw your application in the trash Anonymous on applying for an assistant professorship at their institution “ 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. Anonymous on how their search committee ranks candidates

  5. The sandwich approach to authorship Did ¡most ¡of ¡the ¡work ¡ Led ¡the ¡project ¡ * ¡ First author, ………, Middle authors, ......, Collaborator, Senior author (e.g. ¡Post-­‑doc) ¡ (e.g. ¡Staff, ¡graduate ¡student) ¡ (Principal ¡Inves:gators) ¡ *Corresponding ¡author ¡ First author + , Co-first author + + These authors contributed equally Co-senior author 1 , Senior author 1 1 These authors supervised this work equally Author 2, Author 3, Author 4, …….. Author 100 Lab ¡technician, ¡doctor, ¡soFware ¡engineer, ¡sta:s:cian, ¡applied ¡mathema:cian ¡

  6. 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 But it’s not always that easy… hGp://kosslynlab.fas.harvard.edu/files/kosslynlab/files/authorship_criteria_nov02.pdf ¡

  7. Papers can have tens or hundreds of authors A single paper may involve: • Experimental biologist • Medical doctors • Statistician • Applied mathematician • Software engineer • Data scientist • And more… Authorship policies should encourage this kind of collaboration! But they often don’t…

  8. Case Study1: Co-authorship 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 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 ¡

  9. 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 ¡

  10. Case Study III: “Gift authorship” 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 Cons: ¡ • Dishonest ¡portrayal ¡of ¡who ¡was ¡involved ¡ • Gives ¡a ¡false ¡impression ¡of ¡whose ¡lab ¡led ¡the ¡project ¡

  11. Idea 1: Explicitly describe author contributions Example: ¡

  12. Idea 2: Smaller citable units Example : Supplemental “chapters”

  13. 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

  14. 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

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

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