Ten simple rules for measuring the impact of workshops

S. Sufi; A. Nenadic; R. Silva; B. Duckles; I. Simera; J.A. de Beyer; C. Struthers; T. Nurmikko-Fuller; L. Bellis; W. Miah; A. Wilde; I. Emsley; O. Philippe; M. Balzano; S. Coelho; H. Ford; C. Jones; V. Higgins

doi:10.1371/JOURNAL.PCBI.1006191

Ten simple rules for measuring the impact of workshops

S. Sufi
, A. Nenadic
, R. Silva
, B. Duckles
, I. Simera
, J.A. de Beyer
, C. Struthers
, T. Nurmikko-Fuller
, L. Bellis
, W. Miah
, A. Wilde
, I. Emsley
, O. Philippe
, M. Balzano
, S. Coelho
, H. Ford
, C. Jones
, V. Higgins

Portland State University
Australian National University
University of Cambridge
Numerical Algorithms Group (NAG)
University of St Andrews
University of Southampton
ELIXIR Hub
EGI Foundation
University of Leeds
Science and Technology Facilities Council (STFC)
University of Manchester
University of Oxford

Research output: Contribution to journal › Editorial › peer-review

41 Citations (Scopus)

107 Downloads (Pure)

Abstract

Workshops are used to explore a specific topic, to transfer knowledge, to solve identified problems, or to create something new. In funded research projects and other research endeavours, workshops are the mechanism used to gather the wider project, community, or interested people together around a particular topic. However, natural questions arise: how do we measure the impact of these workshops? Do we know whether they are meeting the goals and objectives we set for them? What indicators should we use? In response to these questions, this paper will outline rules that will improve the measurement of the impact of workshops.

Original language	English
Article number	e1006191
Number of pages	12
Journal	PLoS Computational Biology
Volume	14
Issue number	8
DOIs	https://doi.org/10.1371/JOURNAL.PCBI.1006191
Publication status	Published - 30 Aug 2018
Externally published	Yes

Bibliographical note

This is an open access article distributed under the terms of the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Cited By :5

Access to Document

10.1371/JOURNAL.PCBI.1006191Licence: CC BY

PublishedFinal published version, 598 KBLicence: CC BY

Cite this

Sufi, S., Nenadic, A., Silva, R., Duckles, B., Simera, I., de Beyer, J. A., Struthers, C., Nurmikko-Fuller, T., Bellis, L., Miah, W., Wilde, A., Emsley, I., Philippe, O., Balzano, M., Coelho, S., Ford, H., Jones, C., & Higgins, V. (2018). Ten simple rules for measuring the impact of workshops. PLoS Computational Biology, 14(8), Article e1006191. https://doi.org/10.1371/JOURNAL.PCBI.1006191

Sufi, S, Nenadic, A, Silva, R, Duckles, B, Simera, I, de Beyer, JA, Struthers, C, Nurmikko-Fuller, T, Bellis, L, Miah, W, Wilde, A, Emsley, I, Philippe, O, Balzano, M, Coelho, S, Ford, H, Jones, C & Higgins, V 2018, 'Ten simple rules for measuring the impact of workshops', PLoS Computational Biology, vol. 14, no. 8, e1006191. https://doi.org/10.1371/JOURNAL.PCBI.1006191

@article{f578060268c440a2a298170dbe34db93,

title = "Ten simple rules for measuring the impact of workshops",

abstract = "Workshops are used to explore a specific topic, to transfer knowledge, to solve identified problems, or to create something new. In funded research projects and other research endeavours, workshops are the mechanism used to gather the wider project, community, or interested people together around a particular topic. However, natural questions arise: how do we measure the impact of these workshops? Do we know whether they are meeting the goals and objectives we set for them? What indicators should we use? In response to these questions, this paper will outline rules that will improve the measurement of the impact of workshops.",

author = "S. Sufi and A. Nenadic and R. Silva and B. Duckles and I. Simera and \{de Beyer\}, J.A. and C. Struthers and T. Nurmikko-Fuller and L. Bellis and W. Miah and A. Wilde and I. Emsley and O. Philippe and M. Balzano and S. Coelho and H. Ford and C. Jones and V. Higgins",

note = "This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Cited By :5 ",

year = "2018",

month = aug,

day = "30",

doi = "10.1371/JOURNAL.PCBI.1006191",

language = "English",

volume = "14",

journal = "PLoS Computational Biology",

issn = "1553-734X",

publisher = "Public Library of Science",

number = "8",

}

TY - JOUR

T1 - Ten simple rules for measuring the impact of workshops

AU - Sufi, S.

AU - Nenadic, A.

AU - Silva, R.

AU - Duckles, B.

AU - Simera, I.

AU - de Beyer, J.A.

AU - Struthers, C.

AU - Nurmikko-Fuller, T.

AU - Bellis, L.

AU - Miah, W.

AU - Wilde, A.

AU - Emsley, I.

AU - Philippe, O.

AU - Balzano, M.

AU - Coelho, S.

AU - Ford, H.

AU - Jones, C.

AU - Higgins, V.

N1 - This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Cited By :5

PY - 2018/8/30

Y1 - 2018/8/30

N2 - Workshops are used to explore a specific topic, to transfer knowledge, to solve identified problems, or to create something new. In funded research projects and other research endeavours, workshops are the mechanism used to gather the wider project, community, or interested people together around a particular topic. However, natural questions arise: how do we measure the impact of these workshops? Do we know whether they are meeting the goals and objectives we set for them? What indicators should we use? In response to these questions, this paper will outline rules that will improve the measurement of the impact of workshops.

AB - Workshops are used to explore a specific topic, to transfer knowledge, to solve identified problems, or to create something new. In funded research projects and other research endeavours, workshops are the mechanism used to gather the wider project, community, or interested people together around a particular topic. However, natural questions arise: how do we measure the impact of these workshops? Do we know whether they are meeting the goals and objectives we set for them? What indicators should we use? In response to these questions, this paper will outline rules that will improve the measurement of the impact of workshops.

UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059248931&doi=10.1371%2fJOURNAL.PCBI.1006191&partnerID=40&md5=464bbd5b228be67e76fc95c70d68662e

U2 - 10.1371/JOURNAL.PCBI.1006191

DO - 10.1371/JOURNAL.PCBI.1006191

M3 - Editorial

SN - 1553-734X

VL - 14

JO - PLoS Computational Biology

JF - PLoS Computational Biology

IS - 8

M1 - e1006191

ER -

Ten simple rules for measuring the impact of workshops

Abstract

Bibliographical note

Access to Document

Other files and links

Fingerprint

Cite this