The ultimate goal of the IYS Data Mobilization Strategy is that all expedition data are able to cruise participants, and that data are archived in open-access domain-specific data repositories where they will contribute to globally integrated analyses. How and where data are published will vary by research domain and based on the standard operating procedures of each nation. Therefore, we anticipate three workflow options for submitting data (Figure 1).
In all cases:
Please submit data before the deadlines noted in the Data Policy by emailing datasets to email@example.com and firstname.lastname@example.org as a data package with additional files laid out in the Required Data Package section below.
Data files Ideally in the IYS data template, in .csv or .xlsx format with time zone indicated (UTC preferred), latitude and longitude in decimal degrees, and unique sample identifiers.
Data Dictionary: Define each variable (column name) in every table of your data. Include variable name, units, and short description if needed. Note that for Trawl catch/specimen data, CTD data, and Rosette the Data Dictionary exists as a tab in the Template Spreadsheet File.
README file (.txt or .docx) with the following sections:
Statement of Data Access: When can data submitted be made public? Can all of the submitted data be published, or can only a summarized/aggregated view be published? Keep in mind timelines should be in accordance with the IYS Data Policy
Abstract: (400 words) This information will appear as the summary text in the metadata catalogue. Focus on what variables were measured, how the variables were measured, and why the data were collected to inform your hypotheses.
Protocols: Describe thoroughly the field, lab, and data processing protocols used to produce your data. This could be the same text used in a Cruise Report if there is sufficient information to reproduce methods.
Supplementary Materials Provide publication(s) referenced in protocol description. Provide any scripts or calibration files that were used to clean up/quality control data, filter data from the raw data, or calculate values in the final data package.
Ensure you have filled out authorship metadata for your data set in the metadata spreadsheet to ensure appropriate citation for dataset authors.