Dataset - Hakai Air Temperature and Relative Humidity Time-Series

[hakai-it]

Hakai Air Temperature and Relative Humidity Time-Series

https://cioos-siooc.github.io/metadata-entry-form/#/en/hakai/zBOULF9sDAgC4rkoZUFQq7sBGCf2/-NRFOKZYbR0pe6IN7ozJ

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:

• [x] No version information in the title
• [x] Frontloaded (with the most important information first)
• [x] Include the geographical region the data apply to
• [x] Short – aim for 60 characters including spaces
• [x] Does not include acronyms – put these in the keywords
• [x] Does not include the word “dataset”
• [x] Time series datasets should include “time series” at the end of the title
• [x] Does not include the time period (this is covered in the temporal extents fields)

Abstract

• [x] Abbreviations have been expanded upon at first mention

Spatial

• [x] Ensure that Depth or Height Positive is correctly selected

Contact

• [x] No organizations listed under first / last name
• [ ] ROR and ORCID(s) are included and linked properly where applicable
• [x] The citation in the metadata record matches the preferred citation mentioned in the data package.
• [ ] Include Hakai Institute as Publisher (& Distributor?)

Resources

• [ ] Resource links go to specific dataset download (not generic platform like waterproperties.ca)
• [x] Readme, changelog, data dictionary, protocols included in data-package
• [ ] An archive folder for older data versions is included in the data package if the version is not 1.0
• [x] Links work
• [ ] Resource link links to a download of the compressed data package (.zip) of the correct version.
• [ ] All files in the data package can be opened and are not corrupt

Platform

[Br-Johnson]

Hi @emilyhaughton. Thanks for submitting this!

I'm just reviewing now and have a few questions:

Dataset Identification

• Is this submission a new version of: https://catalogue.hakai.org/dataset/ca-cioos_b694a5c5-6a7e-4206-96aa-5b7754323345 OR how do these datasets relate/differ?
• It would be good to include a data published field which should be whenever this version of the data is first made available (whenever you update the Git hub repo in this case I would suggest)

Contact

• You need to get an ORCID to officially link this dataset to you in the publishing cyberinfrastructure and then inlcude this in your contact section: https://orcid.org/register
• I would suggest including an ORCID for Bill and Shawn as well
• Consider expanding initials in the contact section to full names. They will be abbreviated in the citation, but available in full in the metadata which is nicer.
• Include Hakai Institute as a Publisher.

Resources

• Consider adding a short description. eg. link to data repository containing the newest version of the Air Temp and RH .csv data files. (Side note: it looks like the data in the underlying GitHub repo hasn't been updated for the past 2 months. Is that right, or does a newer version need to be committed?)
• The README in the GitHub seems out of data based on the title: "Hakai Institute TaRH-time-series-v1.0.0_2019-2020"
• The changelog.txt file in the repo looks like it needs to be updated as well?

You might want to consider using GitHub Releases to version this dataset: Create a release n GitHub and tag it with the same version number you're using in the changelog and metadata record. You can then change the download URL to a specific release version, and include URLs to old versions... For eg: https://github.com/HakaiInstitute/jsp-data/releases

[JessyBarrette]

Is this related to the new ERDDAP datasets in development for the watershed group:

• Research Weather Station: https://goose.hakai.org/erddap/tabledap/HakaiWeatherStationsResearch.html
• Provisional Weather Station: https://goose.hakai.org/erddap/tabledap/HakaiWeatherStationsProvisional.html

If yes, maybe we can revise and simplify the data submission workflow to simplify the whole process.