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@ontowonka
Credit where credit is due: acknowledging
all types of contributions
COASP 2016
Melissa Haendel
What *IS* “success”?
https://goo.gl/b60moX
It’s not always what you see
What is attribution???
Over 1000 authors
Project CRediT
http://go.nature.com/2cZWkPb
Many contributions don’t lead to
authorship
NIH BD2K co-authorship
D.Eichmann
N.Vasilevsky
> 20% key personnel are not profiled using publications
Some contributions are anonymous
Data deposition
Image credit: http://disruptiveviews.com/is-your-data-anonymous-or-just-encrypted/
Anonymous review
Image by Julie McMurry 2012
An ecosystem of contributions
Awards
Awards Awards
Employs
Employs
Creates
Creates
Uses
Describedin
Containedin
Recognizes
productof
Creates
Authors
R01 AI144578
InstitutionX
InstitutionY
R21 AI045678 ResearcherA
ResearcherB
ResearcherC
Ab256
Protocol
245
Mouse567
GeneID
987654
Instrument
123
PMID
45678
Plasmid
84756
$
$
Uses
Who helped solve the STIM1
UDP_2542 case?
Credit extends beyond the
publication
 Johannes creates stim1 mouse
 Melissa curates patient data for UDP_2542
 Will performs analysis of UDP_2542 data that includes
stim1 mouse to generate a dataset of
prioritized variants
 Tom writes publication pmid:25577287 about the
STIM1 diagnosis
 Tom explicitly credits Will as an author but not Melissa.
Dan Katz
Who contributed?
Melissa Haendel
Peter Robinson
Chris Mungall
Sebastian Kohler
Cindy Smith
Nicole Vasilevsky
Sandra Dolken
Johannes Grosse
Attila Braun
David Varga-Szabo
Niklas Beyersdorf
Boris Schneider
Lutz Zeitlmann
Petra Hanke
Patricia Schropp
Silke Mühlstedt
Carolin Zorn
Michael Huber
Carolin Schmittwolf
Wolfgang Jagla
Philipp Yu
Thomas Kerkau
Harald Schulze
Michael Nehls
Bernhard Nieswandt
Thomas Markello
Dong Chen
Justin Y. Kwan
Iren Horkayne-Szakaly
Alan Morrison
Olga Simakova
Irina Maric
Jay Lozier
Andrew R. Cullinane
Tatjana Kilo
Lynn Meister
Kourosh Pakzad
Sanjay Chainani
Roxanne Fischer
Camilo Toro
James G. White
David Adams
Cornelius Boerkoel
William A. Gahl
Cynthia J. Tifft
Meral Gunay-Aygun
Melissa Haendel
David Adams
David Draper
Bailey Gallinger
Joie Davis
Nicole Vasilevsky
Heather Trang
Rena Godfrey
Gretchen Golas
Catherine Groden
Michele Nehrebecky
Ariane Soldatos
Elise Valkanas,
Colleen Wahl
Lynne Wolfe
Elizabeth Lee
Amanda Links
Will Bone
Murat Sincan
Damian Smedley
Jules Jacobson
Nicole Washington
Elise Flynn
Sebastian Kohler
Orion Buske
Marta Girdea
Michael Brudno
Jeremy Band
Hans Goeble
Karen Balbach
Nadine Pfeifer
Sandra Werner
Christian Linden
Clinical/care Pathology Ontologist CS/informatics Curator Basic research
Contribution and Attribution in the Context of the Scholar
workshop – Force 2015, Oxford, January 2015
Measuring success through improved attribution VIVO
2015, Austin, August 2015
OpenRIF: semantic infrastructure for the scholarly
research landscape, Portland, April 2016
Project CRediT workshop,
Washington DC, December 2014
The evolution of credit
NISO Alternative Metrics Initiative: Outputs in Scholarly
Communications, May 2016
EXAMPLE OUTPUTS related to software:
Outputs: binary redistribution package (installer), algorithm, data analytic software tool,
analysis scripts, data cleaning, APIs, codebook (for content analysis), source code, software to
make metadata for libraries archives and museums, data analytic software tool, source code,
program codes (for modeling), commentary in code(thinking of open source-need to attribute
code authors and commentator/enhancers/hackers, who can document what they did and
why), computer language (a syntax to describe a set of operations or activities), software patch
(set of changes to code to fix bugs, add features, etc.), digital workflow (automated sequence of
programs, steps to an outcome), software library (non-stand alone code that can be
incorporated into something larger), software application (computer code that accomplishes
something)
Roles: catalog, design, develop, test, hacker, bug finder, software developer, software engineer,
developer, programmer, system administrator, execute, document, software package maintainer,
project manager, database administrator
Workshop results:
>500 scholarly products
Introducing open Research Information
Framework (openRIF)
and the Contribution Ontology
Interoperable standard for representing people and
organizations within the research ecosystem
Ontology A
http://bit.ly/
ConnectedResearchersDavid Eichmann
Contribution Ontology
Acknowledgements
MARIJANE WHITE, KRISTI HOLMES, DAVID EICHMANN, KAREN E.
GUTZMAN, STACY KONKIEL, MATTHEW BRUSH, VIOLETA ILIK, MIKE
CONLON, AMY BRAND, DAN KATZ, LIZ ALLEN,
FIGSHARE, FORCE11 ATTRIBUTION WORKING GROUP, CASRAI,
OPENVIVO, SCIENCV, DIGITAL SCIENCE,
OPENRIF DEVELOPMENT TEAM
Join the Force Attribution Working Group at:
https://www.force11.org/group/attributionwg
Join the openRIF listserv at: http://group.openrif.org

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Credit where credit is due: acknowledging all types of contributions

  • 1. @ontowonka Credit where credit is due: acknowledging all types of contributions COASP 2016 Melissa Haendel
  • 7. Many contributions don’t lead to authorship NIH BD2K co-authorship D.Eichmann N.Vasilevsky > 20% key personnel are not profiled using publications
  • 8. Some contributions are anonymous Data deposition Image credit: http://disruptiveviews.com/is-your-data-anonymous-or-just-encrypted/ Anonymous review
  • 9. Image by Julie McMurry 2012 An ecosystem of contributions Awards Awards Awards Employs Employs Creates Creates Uses Describedin Containedin Recognizes productof Creates Authors R01 AI144578 InstitutionX InstitutionY R21 AI045678 ResearcherA ResearcherB ResearcherC Ab256 Protocol 245 Mouse567 GeneID 987654 Instrument 123 PMID 45678 Plasmid 84756 $ $ Uses
  • 10. Who helped solve the STIM1 UDP_2542 case?
  • 11. Credit extends beyond the publication  Johannes creates stim1 mouse  Melissa curates patient data for UDP_2542  Will performs analysis of UDP_2542 data that includes stim1 mouse to generate a dataset of prioritized variants  Tom writes publication pmid:25577287 about the STIM1 diagnosis  Tom explicitly credits Will as an author but not Melissa.
  • 13. Who contributed? Melissa Haendel Peter Robinson Chris Mungall Sebastian Kohler Cindy Smith Nicole Vasilevsky Sandra Dolken Johannes Grosse Attila Braun David Varga-Szabo Niklas Beyersdorf Boris Schneider Lutz Zeitlmann Petra Hanke Patricia Schropp Silke Mühlstedt Carolin Zorn Michael Huber Carolin Schmittwolf Wolfgang Jagla Philipp Yu Thomas Kerkau Harald Schulze Michael Nehls Bernhard Nieswandt Thomas Markello Dong Chen Justin Y. Kwan Iren Horkayne-Szakaly Alan Morrison Olga Simakova Irina Maric Jay Lozier Andrew R. Cullinane Tatjana Kilo Lynn Meister Kourosh Pakzad Sanjay Chainani Roxanne Fischer Camilo Toro James G. White David Adams Cornelius Boerkoel William A. Gahl Cynthia J. Tifft Meral Gunay-Aygun Melissa Haendel David Adams David Draper Bailey Gallinger Joie Davis Nicole Vasilevsky Heather Trang Rena Godfrey Gretchen Golas Catherine Groden Michele Nehrebecky Ariane Soldatos Elise Valkanas, Colleen Wahl Lynne Wolfe Elizabeth Lee Amanda Links Will Bone Murat Sincan Damian Smedley Jules Jacobson Nicole Washington Elise Flynn Sebastian Kohler Orion Buske Marta Girdea Michael Brudno Jeremy Band Hans Goeble Karen Balbach Nadine Pfeifer Sandra Werner Christian Linden Clinical/care Pathology Ontologist CS/informatics Curator Basic research
  • 14. Contribution and Attribution in the Context of the Scholar workshop – Force 2015, Oxford, January 2015 Measuring success through improved attribution VIVO 2015, Austin, August 2015 OpenRIF: semantic infrastructure for the scholarly research landscape, Portland, April 2016 Project CRediT workshop, Washington DC, December 2014 The evolution of credit NISO Alternative Metrics Initiative: Outputs in Scholarly Communications, May 2016
  • 15. EXAMPLE OUTPUTS related to software: Outputs: binary redistribution package (installer), algorithm, data analytic software tool, analysis scripts, data cleaning, APIs, codebook (for content analysis), source code, software to make metadata for libraries archives and museums, data analytic software tool, source code, program codes (for modeling), commentary in code(thinking of open source-need to attribute code authors and commentator/enhancers/hackers, who can document what they did and why), computer language (a syntax to describe a set of operations or activities), software patch (set of changes to code to fix bugs, add features, etc.), digital workflow (automated sequence of programs, steps to an outcome), software library (non-stand alone code that can be incorporated into something larger), software application (computer code that accomplishes something) Roles: catalog, design, develop, test, hacker, bug finder, software developer, software engineer, developer, programmer, system administrator, execute, document, software package maintainer, project manager, database administrator Workshop results: >500 scholarly products
  • 16. Introducing open Research Information Framework (openRIF) and the Contribution Ontology Interoperable standard for representing people and organizations within the research ecosystem Ontology A http://bit.ly/ ConnectedResearchersDavid Eichmann Contribution Ontology
  • 17. Acknowledgements MARIJANE WHITE, KRISTI HOLMES, DAVID EICHMANN, KAREN E. GUTZMAN, STACY KONKIEL, MATTHEW BRUSH, VIOLETA ILIK, MIKE CONLON, AMY BRAND, DAN KATZ, LIZ ALLEN, FIGSHARE, FORCE11 ATTRIBUTION WORKING GROUP, CASRAI, OPENVIVO, SCIENCV, DIGITAL SCIENCE, OPENRIF DEVELOPMENT TEAM Join the Force Attribution Working Group at: https://www.force11.org/group/attributionwg Join the openRIF listserv at: http://group.openrif.org

Notas do Editor

  1. Even more critical in research today – more interdisciplinary, more moving pieces, more team-based (translational workforce is a good example of this: eg for a clinical trial may have PI, study coordinators, ethicist, lab tech, biobanking facility, analyst, etc.) (another good example is an open source software project like VIVO where contributors have different roles, produce software and data models, different workflow and dissemination patterns) The contributions of all of these people are required for research to move forward, but there are not mechanisms in place to properly recognize these contributions and represent them in a meaningful manner
  2. http://g3journal.org/content/5/5/719
  3. co-authorship is cross-award, but expertise is within award There are key persons that connect communities 20% awardees are not adequately profiled using publications Social network visualization of 282 BD2K awardees (key personnel) on 38 grants of 6 award types. Coauthorship between personnel from those same publications. Edge length is inversely proportional to publication count (200 edges). Note that K01 key personnel include senior mentors and there are still a few non-responders missing. Connectivity and cluster composition changes when comparing domain expertise to co-authorship. For example, there is substantive co-authorship across awards, but expertise tends to stay in the same award. A final key finding from this SNA was that approximately 20% of the awardees did not have publications as a primary outcome (often in roles like software engineers, developers, programmers, analysts, etc.) from these and prior efforts, implying that traditional means for profiling learners, experts, and collaborations does not provide a complete picture of the data science landscape