163
views
0
recommends
+1 Recommend
1 collections
    1
    shares
      scite_
       
      • Record: found
      • Abstract: found
      • Poster: found
      Is Open Access

      Code Ocean “Enabling Reproducibility” SSP – Chicago, June 2-3, 2022

      Published
      poster
      1 , * ,
      ScienceOpen
      44th SSP Annual Meeting (SSP-AM22)
      Building a More Connected Scholarly Community
      June 1-3, 2022
      Bookmark

            Abstract

            Code Ocean provides researchers a platform to share their computational research, supporting reproducibility. Learn how authors can create, manage, preserve and share the code, data, and environment associated with their journal article. Learn how Code Ocean’s platform enables editors and reviewers to examine an author’s software code before publication – in effect peer reviewing the code. Learn how the software code can easily be embedded into an online journal article as an executable “capsule” – allowing readers to download a copy of the code, examine it, learn from it, and alter the code for their own purposes. Learn how publishers can offer this service to their authors and readers with minimal technology set-up.

            Content

            Author and article information

            Conference
            ScienceOpen
            01 June 2022
            16 December 2022
            Affiliations
            [1 ]STM Publishing Alliances
            Author notes
            Article
            10.14293/S2199-SSP-AM22-0001
            950494c4-7f03-46ce-9594-0cc89235f058
            Copyright © 2022 The Authors.

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            44th SSP Annual Meeting
            SSP-AM22
            Chicago, USA
            June 1-3, 2022
            Society for Scholarly Publishing
            Building a More Connected Scholarly Community
            History

            Communication networks,Social & Information networks,Educational research & Statistics,Information & Library science,Information systems & theory

            Comments

            Comment on this article