Update on Coalition on Publishing Data in the Earth and Space Sciences (COPDESS) and other efforts Brooks Hanson Director, Publications, AGU bhanson@agu.org

What Publishers Require Now… Most ESS Publishers are requiring access to data. Some are requiring access to code. Developing common practices around data citations; these should apply to code but more needed. Trying to work with the community to extend these practices. Developing more interactive online manuscripts and editorial workflows that include data dynamically. Some efforts in some fields around real-time reproducibility, including during peer review (can include re-running code).

Coalition on Publishing Data in the Earth and Space Sciences (COPDESS Coalition on Publishing Data in the Earth and Space Sciences (COPDESS.org) An organizational framework for Earth and space science publishers and data facilities to jointly implement and promote common policies and procedures for the publication and citation of data across Earth Science journals. Formed in October 2014 Endorsed a Statement of Commitment, 2015 2nd meeting October, 2015 Developing joint best practices between journals and repositories.

Statement of Commitment COPDESS.org Reaffirm and ensure adherence to our existing journal and publishing policies…regarding data sharing are archiving... Earth and space science data should, to the greatest extent possible, be stored in appropriate domain repositories that...follow leading practices, and can provide additional data services. Released 15 January 2015. Article in Eos.org Additional signatories welcome

More Actions Promote referencing of data sets using the Force­11 data citation principles. Promote and implement links to data sets in publications and corresponding links to journals in data facilities via persistent identifiers. Data sets should ideally be referenced using registered DOI’s. Promote use of other relevant community permanent identifiers for samples (IGSN), researchers (ORCID), and funders and grants (FundRef).

IGSN Globally unique and persistent identifier for physical samples in the Earth Sciences guaranteed to be unique via a centralized control mechanism operated by IGSN e.V. resolves to virtual sample representations (sample metadata profiles) managed at federated IGSN Allocating Agents. COPDESS 2 10/20/2015

Signatories as of 1 Jan 2016 American Astronomical Society Geological Society of America American Geophysical Union Geological Society of London American Meteorological Society ICSU World Data System Biological and Chemical Oceanography Data Management Office, Woods Hole Oceangraphic Institution (BCO-DMO) Incorporated Research Institutions for Seismology (IRIS) Integrated Earth Data Applications (IEDA) Center for Open Science International Continental Drilling Program (ICDP) CLIVAR and Carbon Hydrographic Data Office (CCHDO) John Wiley and Sons LacCore: National Lacustrine Core Facility Community Inventory of EarthCube Resources for Geosciences Interoperability (CINERGI) Magnetics Information Consortium (MagIC) Mineralogical Society of America Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) Neotoma Paleoecology Database National Snow and Ice Data Center Continental Scientific Drilling Coordination Office (CSDCO) Nature Publishing Group Nordicana D COOPEUS OpenTopography Copernicus Publications Paleonotological Society Council of Data Facilities Proceedings of the National Academy of Sciences Dryad Rolling Deck to Repository (R2R) Program Elsevier Science European Geosciences Union Springer Geochemical Society UNAVCO Geological Data Center of Scripps Institution of Oceanography

Cos.io/top 14.11.2018

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Next Steps COPDESS is expanding participation and developing best practices. Outcome of Field Reproducibility Conference is submitted to Science; published soon. Software Reproducibility Conference in February Some major publishers will be requiring ORCIDs in 2016 (PLOS, eLife, Royal Society, IEEE, AGU…) Reviewers can now be recognized through ORCID AGU starting two programs: Data Management Maturity (for repositories) and Training in Data Science (for researchers).

Framework is emerging on best practices in data citations and linking Standards agreed upon widely. Gradual implementation by some journals but some segments are way behind. Multiple efforts to redo authoring, editorial, and publishing workflows to include data dynamically. Repositories are recognizing needs and enabling processes but structural difficulties for some. Authoring/reviewing culture still needs changing. Legal obstacles to data and code sharing that are outstanding.