[x] No previous versions of this metadata record exist (eg for earlier versions of the data, if so update that record rather than creating a new one)
Data Identification
Dataset title:
[x] No version information in the title
[ ] Frontloaded (with the most important information first)
[ ] Include the geographical region the data apply to
[ ] Short – aim for 60 characters including spaces
[x] Does not include acronyms – put these in the keywords
[x] Does not include the word “dataset”
[ ] Time series datasets should include “time series” at the end of the title
Abstract
[x] Abbreviations have been expanded upon at first mention
[x] Abstract describes how, when, what, where, why of data collection and is limited to no more than 500 words
DOI
[ ] A DOI has been drafted for this record
[ ] DOI has been updated via the form after review and changes to record
[ ] DOI has been manually edited on datacite fabrica
[ ] DOI status has been changed from Draft to Findable
Spatial
[x] Ensure that Depth or Height Positive is correctly selected
Contact
[ ] ROR and ORCID(s) are included and linked properly where applicable
[x] For datasets where DFO is a partner, ensure 'parent' ROR is added (https://ror.org/02qa1x782). DFO 'child' organizations (i.e. CHS) and their ROR are optional.
[ ] Include Hakai Institute as Publisher and include data@hakai.org as email
[x] Make sure email address is provided if the role is 'Metadata Custodian' or 'Point of Contact'
[ ] Add contact affiliation where known including ROR
[ ] If resource is (partially) generated by Hakai researchers, include 'Tula Foundation' (with associated ROR) with 'Funder' role. Be sure to uncheck 'include in citation' for Tula Foundation.
Resources
[ ] Resource links go to specific dataset download (not generic platform like waterproperties.ca)
[ ] Readme, changelog, data dictionary, protocols included in data-package (for tabular text based data)
[ ] An archive folder, or other means, for older data versions is included in the data package if the version is not 1.0
[ ] Links work
[ ] All files in the data package can be opened and are not corrupt
[ ] No executable files in the data package. Files should be open formats and standards (.csv, .txt for example)
This record points to the same resource as the 'Material_thickness' record, and also has the same authors associated with it. Are the two resources related, should they be linked in a single metadata record?
If they need to be separated, consider the following comments for this data record:
Start:
Consider being more descriptive in the dataset title, include information on what, where and when.
Resource Identification:
Consider what project this record is part of -- likely 'Watersheds', maybe also 'ACO'?
Consider adding version element (1.0) to this record, even if you do not anticipate incrementally versioning this record. However, there is a 'revised' date (2022-04-25) so I just want to confirm that this data has not previously been published (and therefore would perhaps need a different version element)?
Contact:
Consider changing the email associated with Hakai Institute from 'media@hakai.org' --> 'data@hakai.org'
Consider adding ROR for Paul Sanborn, I believe his affiliation is the University of Northern British Columbia?
Change the email associated with Ministry of Forests - currently includes a personal email, better to include general email. The personal email is already included in the individual metadata.
Add 'Hakai Institute' with role 'Publisher'
If work was funded by Hakai Institute/Tula Foundation, as Tula Foundation with role 'Funder', without including the Tula Foundation in the recommended citation.
Data and Documentation:
Realizing this resource is included in the data package - you could also reference this documentation/sampling protocol under "Related Works".
Is the Dropbox folder a personal or institutional? Will the data be preserved here long-term?
Personally, I do not find the SMU_data_dictionary.csv file very informative; what do the abbreviations in the Description column refer to?
Soil Map Units
https://cioos-siooc.github.io/metadata-entry-form/#/en/hakai/Wr39LYoqqPgjkcPTetJRB7ScPgO2/-NJQxQH5OsL42GRQVpsl
Best Practices Checklist
In General
Data Identification
Dataset title:
Abstract
DOI
Spatial
Contact
Resources