credit authorship

3
R esearch today is rarely a one-person  job. Origina l r esear ch p aper s wit h a single author are — particularly in the life sciences — a vanishing breed. Partly, the inflation of author numbers on papers has been driven by national research-asses sment exercises. Partly, it is the emergence of big and collaborative science, assisted by technology, that is changing the research landscape. What we cannot tell easily by reading a paper is who did what. That is difficult to decipher by consulting the author lists, acknowledgements or contributions sec- tions of most journals; and the unstructured information is difficult to text-mine 1,2 . Developments in digital technology pre- sent opportunities to do something about this. With the right ‘taxonomy’, manuscript- submission software could enable research- ers to assign contributor roles relatively easily in structured formats during the process of developing and publishing a paper. An ana- logy is the FundRef initiative developed by funders, publishers and manuscript-su bmis- sion vendors to build direct links between published research and associated funding sources during manuscript submission. For researchers, the ability to better describe what they contributed would be a more useful currency than being ‘author number 8 on a 15-author paper’. Scientists could draw attention to their specific con- tributions to published work to distinguish their skills from those of collaborators or competitors, for example during a grant- application process or when seeking an academic appointment. This could benefit  junior rese arc hers in parti cula r , for whom the opportunities to be a ‘ key’ author on a paper can prove somewhat elusive. Methodological innovators would also stand to benefit from clarified roles — their contributions are not reliably apparent in a conventional author list 3–6 . It could also facilitate collaboration and data sharing by allowing others to s eek out the person who provided, for example, a particular piece of data or statistical analysis. Through the endorsement of individuals’ contributions, researchers can start to move beyond ‘authorship ’ as the dominant meas- ure of esteem. For funding agencies, better information about the contributions of grant applicants would aid the decision-making process. Greater precision could also enable automated analysis of the role and potential outputs of those being funded, especially if those contributions were linked to an open and persistent researcher profile or identi- fier. It would also help those looking for the most apt peer reviewers. For institutions, understanding a res earcher’ s contribution is fundamental to the academic appointment and promotion process. Such a system could b enefit publishers too. Many journals do issue strict guidelines for what constitutes authorship, although there have been calls to overhaul these to reflect the reality of today’s research 7,8 . Greater transparency should help to reduce the number of authorship disputes being managed by journal editors, and should cut the time that editors spend chasing listed authors for confirmation of their roles. CLASSIFYING CONTRIBUTION T o probe how such a taxonomy might work, we conducted an experiment. Our findings, which are summarized here, set t he stage for the development of a system or process that could change how contributions to research output are valued. In 2012, a small group of journal editors  joi ned forc es wit h Har var d Univ ers ity in Cambridge, Massachusetts, and the W ellcome Trust in London to develop a sim- ple contributor role taxonomy to test with researchers 9 . Some journals, such as those published by the Public Library of Science (PLOS), have been working with basic con- tribution classifications for a couple of years; the group decided to extend this. An online survey, live between August and November 2013, was designed to test whether authors’ contributions to recent  journal articles could be classified using a 14-role taxonomy (see ‘Who did what?’). The survey was sent to 1,200 correspon ding authors of work published in PLOS journals, Nature Publishing Group journals, Elsevier  journals, Science and eLife. Corresponding authors were asked to indicate the contribu- tion of each author of their article according to the roles in the t axonomy, and to comment on its comprehensiveness; whether there were any significant role descriptors miss- ing; how using the taxonomy compares with current author-contribution assignment; and specifically , how easy or difficult it was to use. Around 230 authors gave feedback. More than 85% found the taxonomy easy to us e and felt that it covered all the roles of contributors to their paper. Furthermore, 82% of respond- ents reported that using the more-structured taxonomy of contributor roles presented to them was at least ‘the same’ as (37%) or ‘bet- ter’ (45%) in terms of accuracy than how the author contributions to their recently pub- lished paper had actually been recorded. There is certainly more work to do. The pilot yielded substantial feedback on sev- eral themes. These included: how to ensure agreement among authors on their specific contributions; how to prevent supervisors from inappropriately taking credit; whether to distinguis h between ‘lead’ , ‘supporting’ and ‘equal’ roles; and how to recognize that the significance and relevance of certain roles varies between articles and research areas. Others suggested that more types of contribution should be included in the tax- onomy or that some contributions such as ‘funding acquisition’ and ‘project manage- ment’ might be captured elsewhere in the manuscript-submission process. There are also methodological caveats associated with this pilot: the sample was rela- tively small and only corresponding authors were asked for their opinions. The t axonomy was developed and tested in the biomedical and life-sciences community — we have not tested its validity in other fields because we Credit where cr edi t i s due Liz Allen, Amy Brand, Jo Scott, Micah Altman an d Marjorie Hlava are trialling digital taxonomies to help researchers to identify their contributions to collaborative projects. 312 | NATURE | VOL 508 | 17 APRIL 2014 COMMENT © 2014 Macmillan Publishers Limited. All rights reserved

Upload: luiz-naveda

Post on 13-Apr-2018

230 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Credit Authorship

7/27/2019 Credit Authorship

http://slidepdf.com/reader/full/credit-authorship 1/2

R esearch today is rarely a one-person job. Original research papers with asingle author are — particularly in

the life sciences — a vanishing breed. Partly,the inflation of author numbers on papers hasbeen driven by national research-assessmentexercises. Partly, it is the emergence of big andcollaborative science, assisted by technology,that is changing the research landscape.

What we cannot tell easily by reading apaper is who did what. That is difficult todecipher by consulting the author lists,acknowledgements or contributions sec-tions of most journals; and the unstructuredinformation is difficult to text-mine1,2.

Developments in digital technology pre-sent opportunities to do something aboutthis. With the right ‘taxonomy’, manuscript-submission software could enable research-ers to assign contributor roles relatively easilyin structured formats during the process ofdeveloping and publishing a paper. An ana-logy is the FundRef initiative developed byfunders, publishers and manuscript-submis-sion vendors to build direct links betweenpublished research and associated fundingsources during manuscript submission.

For researchers, the ability to betterdescribe what they contributed would bea more useful currency than being ‘authornumber 8 on a 15-author paper’. Scientistscould draw attention to their specific con-

tributions to published work to distinguishtheir skills from those of collaborators orcompetitors, for example during a grant-application process or when seeking anacademic appointment. This could benefit

 junior researchers in particular, for whom theopportunities to be a ‘key’ author on a papercan prove somewhat elusive. Methodologicalinnovators would also stand to benefit fromclarified roles — their contributions are notreliably apparent in a conventional authorlist3–6. It could also facilitate collaborationand data sharing by allowing others to seekout the person who provided, for example, a

particular piece of data or statistical analysis.

Through the endorsement of individuals’contributions, researchers can start to movebeyond ‘authorship’ as the dominant meas-

ure of esteem. For funding agencies, betterinformation about the contributions of grantapplicants would aid the decision-makingprocess. Greater precision could also enableautomated analysis of the role and potentialoutputs of those being funded, especially ifthose contributions were linked to an openand persistent researcher profile or identi-fier. It would also help those looking for themost apt peer reviewers. For institutions,understanding a researcher’s contribution isfundamental to the academic appointmentand promotion process.

Such a system could benefit publisherstoo. Many journals do issue strict guidelinesfor what constitutes authorship, althoughthere have been calls to overhaul theseto reflect the reality of today’s research 7,8.Greater transparency should help to reducethe number of authorship disputes beingmanaged by journal editors, and should cutthe time that editors spend chasing listedauthors for confirmation of their roles.

CLASSIFYING CONTRIBUTION

To probe how such a taxonomy might work,we conducted an experiment. Our findings,which are summarized here, set the stage forthe development of a system or process that

could change how contributions to researchoutput are valued.

In 2012, a small group of journal editors joined forces with Harvard Universityin Cambridge, Massachusetts, and theWellcome Trust in London to develop a sim-ple contributor role taxonomy to test withresearchers9. Some journals, such as thosepublished by the Public Library of Science(PLOS), have been working with basic con-tribution classifications for a couple of years;the group decided to extend this.

An online survey, live between Augustand November 2013, was designed to test

whether authors’ contributions to recent

 journal articles could be classified using a14-role taxonomy (see ‘Who did what?’).The survey was sent to 1,200 corresponding

authors of work published in PLOS journals,Nature Publishing Group journals, Elsevier journals, Science and eLife. Correspondingauthors were asked to indicate the contribu-tion of each author of their article accordingto the roles in the taxonomy, and to commenton its comprehensiveness; whether therewere any significant role descriptors miss-ing; how using the taxonomy compares withcurrent author-contribution assignment; andspecifically, how easy or difficult it was to use.

Around 230 authors gave feedback. Morethan 85% found the taxonomy easy to use andfelt that it covered all the roles of contributorsto their paper. Furthermore, 82% of respond-ents reported that using the more-structuredtaxonomy of contributor roles presented tothem was at least ‘the same’ as (37%) or ‘bet-ter’ (45%) in terms of accuracy than how theauthor contributions to their recently pub-lished paper had actually been recorded.

There is certainly more work to do. Thepilot yielded substantial feedback on sev-eral themes. These included: how to ensureagreement among authors on their specificcontributions; how to prevent supervisorsfrom inappropriately taking credit; whetherto distinguish between ‘lead’, ‘supporting’and ‘equal’ roles; and how to recognize that

the significance and relevance of certainroles varies between articles and researchareas. Others suggested that more types ofcontribution should be included in the tax-onomy or that some contributions such as‘funding acquisition’ and ‘project manage-ment’ might be captured elsewhere in themanuscript-submission process.

There are also methodological caveatsassociated with this pilot: the sample was rela-tively small and only corresponding authorswere asked for their opinions. The taxonomywas developed and tested in the biomedicaland life-sciences community — we have not

tested its validity in other fields because we

Credit where

credit is dueLiz Allen, Amy Brand, Jo Scott, Micah Altman and Marjorie Hlava are

trialling digital taxonomies to helpresearchers to identify their contributions

to collaborative projects.

3 1 2 | N A T U R E | V O L 5 0 8 | 1 7 A P R I L 2 0 1 4

COMMENT

© 2014 Macmillan Publishers Limited. All rights reserved

Page 2: Credit Authorship

7/27/2019 Credit Authorship

http://slidepdf.com/reader/full/credit-authorship 2/2

expect that there are field-specific contributorroles. Nonetheless, this feedback providesa springboard to further explore how asystem for allocating contributor roles mightbe implemented.

SETTING STANDARDS

So what now? Over the next six to eightmonths, we will be collaborating with bod-ies such as the National Information Stand-ards Organization to evolve the taxonomy.Through this collaboration, we will consulta broader cross-section of the research com-munity, including researchers from dif-ferent scientific fields, to see how valid thetaxonomy might be beyond biomedicine,and to ascertain the value that greater defini-

tion of contributor roles would bring to theresearch ecosystem. We are mindful that anyapproach must not add to researchers’ bur-dens in submitting and publishing work, orfuel authorship dissatisfaction. For instance,one respondent described our trial taxonomyas: “more accurate and less ‘generous’”.

A second workshop on contributor rolesis planned for the third quarter of 2014,after which we intend toimplement a fuller trialacross more researchpublication outletsand disciplines in

2015. Models of

implementation to be tested could include,for example, integrating a digital taxonomywith manuscript-submission and research-management systems. The latter approachimagines assigning and agreeing on contrib-utor roles before preparing the manuscriptfor publication, with the potential to pro-foundly affect the culture and process ofdoing research. ■

Liz Allen and Jo Scott are at the WellcomeTrust in London, UK. Amy Brand is atDigital Science in Cambridge, Massachusetts,USA. Marjorie Hlava is at AccessInnovations in Albuquerque, New Mexico,USA. Micah Altman is at the MIT Libraries, Massachusetts Institute of Technology,

Cambridge, Massachusetts, USA.e-mail: [email protected]

1. Dance, A. Nature 489, 591–593 (2012).2. Frische, S. Nature 489, 475 (2012).3. Karani, R., Ognibene, F. P., Fallar, R. & Gliatto, P.

 Acad. Med. 88, 364–368 (2013).4. Rodrigo, C. & Bordons, M. Scientometrics 88, 

145–161 (2011).5. Cleary, M., Jackson, D., Walter, G., Watson, R. &

Hunt, G. E. J. Clin. Nurs. 21, 809–811 (2012).6. Einav, L. & Yariv, L. J. Econ. Pers. 20, 175–187

(2006).7. Matheson, A. PLoS Med. 8, e1001072 (2011).8. Malički, M., Jerončić, A., Marušić, M. & Marušić, A.

BMC Med. Res. Methodol. 12, 189 (2012).9. Hames, I. Report on the International Workshop on

Contributorship and Scholarly Attribution (Harvard

University, Wellcome Trust, 2012).

WHO DID WHAT?Respondents were asked to select all roles that applied to each author, as described in the taxonomybelow, and to state which of these roles were lead or supporting.

Taxonomy category Description of role

Study conception Ideas; formulation of research question; statement of hypothesis.

Methodology Development or design of methodology; creation of models.

Computation Programming, software development; designing computer programs;implementation of the computer code and supporting algorithms.

Formal analysis Application of statistical, mathematical or other formal techniques toanalyse study data.

Investigation: performed theexperiments

Conducting the research and investigation process, specificallyperforming the experiments.

Investigation: data/evidencecollection

Conducting the research and investigation process, specificallydata/evidence collection.

Resources Provision of study materials, reagents, materials, patients, laboratorysamples, animals, instrumentation or other analysis tools.

Data curation Management activities to annotate (produce metadata) and maintainresearch data for initial use and later re-use.

Writing/manuscript preparation:writing the initial draft

Preparation, creation and/or presentation of the published work,specifically writing the initial draft.

Writing/manuscript preparation:critical review, commentary orrevision

Preparation, creation and/or presentation of the published work,specifically critical review, commentary or revision.

Writing/manuscript preparation:visualization/data presentation

Preparation, creation and/or presentation of the published work,specifically visualization/data presentation.

Supervision Responsibility for supervising research; project orchestration;principal investigator or other lead stakeholder.

Project administration Coordination or management of research activities leading to thispublication.

Funding acquisition Acquisition of the financial support for the project leading to thispublication.

COMMENT

© 2014 Macmillan Publishers Limited. All rights reserved