Dataset - Material_thickness

[hakai-it]

Material_thickness

https://cioos-siooc.github.io/metadata-entry-form/#/en/hakai/Wr39LYoqqPgjkcPTetJRB7ScPgO2/-NJfSJKn7Da7jwCR4_Eo

Best Practices Checklist

In General

• 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:

• 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
• Does not include acronyms – put these in the keywords
• Does not include the word “dataset”
• Time series datasets should include “time series” at the end of the title

Abstract

• Abbreviations have been expanded upon at first mention
• 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

• Ensure that Depth or Height Positive is correctly selected

Contact

• ROR and ORCID(s) are included and linked properly where applicable
• 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
• 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)

[timvdstap]

Few comments to perhaps increase the usefulness of the metadata record:

Start:

• Please be a little more descriptive in the title, add the geographical region the record refers to, and include what / when / where.
• Would you like a DOI generated for this resource? If a DOI already exists that covers the same dataset/product described in this metadata record but which might be stored elsewhere, you can include that DOI here as well.

Resource Identification:

• Please be a little more descriptive here as well in the abstract, describing the how, when, what, where and why of data collection. For example you could use parts of the readme file.
• Add project that this record is part of -- likely 'Watersheds', maybe also 'ACO'?
• I'm slightly confused about the discrepancy between date of last collection (2024-04-04) vs publication date (2016-11-04) - has the data from the previous 8 years not been published? Has the data been publicly available for ~ 8 years?
• I would recommend adding version number '1.0' to record, even if you do not anticipate revising it in the future.

Contact:

• Would change the email associated with Hakai Institute 'media@hakai.org' --> data@hakai.org
• Change the associated email with Ministry of Forests: better to include a general email for users to contact the entity. The personal email is already included with the individual metadata.
• Add 'Hakai Institute' with role 'Publisher'. Does not need to have individual metadata associated.
• For completeness, it would be good to add 'Funder' (does not need to appear in citation): if this was Hakai Institute, please add Tula Foundation as funding organization.

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?