5
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Consensus-based guidance for conducting and reporting multi-analyst studies

      research-article
      1 , , 1 , , 2 , 3 , 4 , 5 , 4 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 5 , 13 , 14 , 15 , 16 , 17 , 18 , 11 , 19 , 11 , 20 , 21 , 22 , 23 , 24 , 5 , 25 , 26 , 26 , 20 , 27 , 28 , 26 , 29 , 30 , 31 , 32 , 33 , 34 , 19 , 35 , 36 , 37 , 5 , 38 , 28 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 4 , 33
      ,
      eLife
      eLife Sciences Publications, Ltd
      multi-analyst, metascience, statistical practice, science forum, expert consensus, analytical variability, None

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Any large dataset can be analyzed in a number of ways, and it is possible that the use of different analysis strategies will lead to different results and conclusions. One way to assess whether the results obtained depend on the analysis strategy chosen is to employ multiple analysts and leave each of them free to follow their own approach. Here, we present consensus-based guidance for conducting and reporting such multi-analyst studies, and we discuss how broader adoption of the multi-analyst approach has the potential to strengthen the robustness of results and conclusions obtained from analyses of datasets in basic and applied research.

          Related collections

          Most cited references45

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          The FAIR Guiding Principles for scientific data management and stewardship

          There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Guidance on Conducting and REporting DElphi Studies (CREDES) in palliative care: Recommendations based on a methodological systematic review.

            The Delphi technique is widely used for the development of guidance in palliative care, having impact on decisions with relevance for patient care.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Variability in the analysis of a single neuroimaging dataset by many teams

                Bookmark

                Author and article information

                Contributors
                Role: Reviewing Editor
                Role: Senior Editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                09 November 2021
                2021
                : 10
                : e72185
                Affiliations
                [1 ] ELTE Eotvos Lorand University Budapest Hungary
                [2 ] Karolinska Institutet Stockholm Sweden
                [3 ] Stockholm University Stockholm Sweden
                [4 ] Tilburg University Tilburg Netherlands
                [5 ] University of Groningen Groningen Netherlands
                [6 ] Utrecht University Utrecht Netherlands
                [7 ] University Medical Center Groningen, University of Groningen Groningen Netherlands
                [8 ] Friesland Mental Health Care Services Leeuwarden Netherlands
                [9 ] University of California Los Angeles Los Angeles United States
                [10 ] National Bureau of Economic Research Cambridge United States
                [11 ] University of Amsterdam Amsterdam Netherlands
                [12 ] Dartmouth College Hanover United States
                [13 ] University of Münster Muenster Germany
                [14 ] University of Rennes, CNRS, Inria and Inserm Rennes France
                [15 ] McLean Hospital Belmont United States
                [16 ] Harvard Medical School Boston United States
                [17 ] University of Missouri Columbia United States
                [18 ] National University of Singapore Singapore Singapore
                [19 ] University of New South Wales Sydney Australia
                [20 ] Stockholm School of Economics Stockholm Sweden
                [21 ] University of Innsbruck Innsbruck Austria
                [22 ] University Hospital Basel Basel Switzerland
                [23 ] Monash University Melbourne Australia
                [24 ] University of Wisconsin-Madison Madison United States
                [25 ] Ludwig-Maximilians-University Munich Germany
                [26 ] University of Innsbruck Innsbruck Austria
                [27 ] Maastricht University Maastricht Netherlands
                [28 ] Princeton University Princeton United States
                [29 ] University Medical Center Groningen, University of Groningen Groningen Netherlands
                [30 ] University of Victoria Victoria Canada
                [31 ] Université Paris-Saclay Paris France
                [32 ] Neurospin, CEA Paris France
                [33 ] Amsterdam University Amsterdam Netherlands
                [34 ] University of Bristol Bristol United Kingdom
                [35 ] Center for Open Science Charlottesville United States
                [36 ] University of Virginia Charlottesville United States
                [37 ] Stanford University Stanford United States
                [38 ] University of Basel Basel Switzerland
                [39 ] Amsterdam University Amsterdam Netherlands
                [40 ] Tel Aviv University Tel Aviv Israel
                [41 ] ESMT Berlin Berlin Germany
                [42 ] University College London London United Kingdom
                [43 ] University of Sussex Brighton United Kingdom
                [44 ] University of Illinois Urbana-Champaign United States
                [45 ] University of Virginia Charlottesville United States
                [46 ] University of Alberta Edmonton Canada
                [47 ] Lund University Lund United States
                [48 ] University of Massachusetts Amherst Amherst United States
                [49 ] INSEAD Singapore Singapore
                eLife United Kingdom
                eLife United Kingdom
                eLife United Kingdom
                Author notes
                [†]

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0001-9364-4988
                https://orcid.org/0000-0001-7078-2712
                https://orcid.org/0000-0001-5273-0150
                https://orcid.org/0000-0003-4831-6402
                https://orcid.org/0000-0002-2642-5416
                https://orcid.org/0000-0002-8677-0721
                https://orcid.org/0000-0003-2669-1877
                https://orcid.org/0000-0002-8091-9935
                https://orcid.org/0000-0003-4837-0345
                https://orcid.org/0000-0002-8547-7726
                https://orcid.org/0000-0003-2787-224X
                https://orcid.org/0000-0003-3711-4338
                https://orcid.org/0000-0002-6791-227X
                https://orcid.org/0000-0003-0387-7388
                https://orcid.org/0000-0003-0270-096X
                https://orcid.org/0000-0003-3989-9941
                https://orcid.org/0000-0002-3186-4026
                https://orcid.org/0000-0003-0397-3329
                https://orcid.org/0000-0002-1588-7527
                https://orcid.org/0000-0001-6197-8801
                https://orcid.org/0000-0001-9606-0427
                https://orcid.org/0000-0003-0073-0321
                https://orcid.org/0000-0001-8759-6393
                https://orcid.org/0000-0002-5416-2545
                https://orcid.org/0000-0002-1612-461X
                https://orcid.org/0000-0003-1898-205X
                https://orcid.org/0000-0001-6755-0259
                https://orcid.org/0000-0002-5030-4091
                https://orcid.org/0000-0003-2632-8015
                https://orcid.org/0000-0002-4485-816X
                https://orcid.org/0000-0003-3529-9463
                https://orcid.org/0000-0002-4600-6323
                https://orcid.org/0000-0002-8092-2974
                https://orcid.org/0000-0003-2415-2933
                Article
                72185
                10.7554/eLife.72185
                8626083
                34751133
                0251402b-3a8d-4238-8a5e-4e2d712bf563
                © 2021, Aczel et al

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 14 July 2021
                : 07 November 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003246, Netherlands Organisation for Scientific Research;
                Award ID: 406-17-568
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000038, Natural Sciences and Engineering Research Council of Canada;
                Award ID: BP-546283-2020
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100003151, Fonds de Recherche du Québec - Nature et Technologies;
                Award ID: 290978
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000781, European Research Council;
                Award ID: 726361
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000781, European Research Council;
                Award ID: 681466
                Award Recipient :
                Funded by: VIDI fellowship organisation;
                Award ID: 016.Vidi.188.001
                Award Recipient :
                Funded by: VENI fellowship grant;
                Award ID: Veni 191G.037
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000001, National Science Foundation;
                Award ID: 1760052
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001735, Weizmann Institute of Science;
                Award ID: Israel National Postdoctoral Award Program for Advancing Women in Science
                Award Recipient :
                Funded by: John Templeton Foundation, Templeton World Charity Foundation, Templeton Religion Trust, and Arnold Ventures;
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100012951, Institut Européen d'Administration des Affaires;
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000781, European Research Council;
                Award ID: 640638
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Feature Article
                Medicine
                Neuroscience
                Science Forum
                Custom metadata
                Using multiple analysts to independently analyze the same dataset has the potential to explore and strengthen the robustness of results and conclusions in basic and applied research.
                5

                Life sciences
                multi-analyst,metascience,statistical practice,science forum,expert consensus,analytical variability,none

                Comments

                Comment on this article