Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Dataset Submission: HakaiNutrientSampleResearch #31

Open
9 of 12 tasks
JessyBarrette opened this issue Apr 27, 2021 · 11 comments
Open
9 of 12 tasks

Dataset Submission: HakaiNutrientSampleResearch #31

JessyBarrette opened this issue Apr 27, 2021 · 11 comments

Comments

@JessyBarrette
Copy link
Contributor

JessyBarrette commented Apr 27, 2021

Hakai Dataset Submission

Below are listed all the different steps related to the initial submission of a dataset.

A more detailed written and visual description of every step is available respectively
here and here.

Submission steps

Initial Submission (Data Administrator)

  • Original Data Submission
  • CIOOS Metadata Form completed

ERDDAP Dataset Creation (Data Integrator)

  • Dataset Transformation (Format label)
    • 🟢 Format Compatible
    • 🟡 Format Minor Revisions
    • 🟠 Format Major Revisions
    • 🔴 Format Incompatible/Missing Information
  • Near Real-time Data Integration
  • QARTOD Integration
  • ERDDAP Integration
  • ERDDAP Dataset Documentation
  • ERDDAP Test Locally
  • Add Dataset to Development Branch

Dataset Review (Data Administrator)

ERDDAP Dataset
CIOOS Metadata form

  • Dataset Development Branch Revision (Reviewer Label)
    • 🟢 Reviewer Approved
    • 🟡 Reviewer Minor Revisions
    • 🟠 Reviewer Major Revisions

Dataset Completion (Data Integrator)

  • Merge Development Dataset to Production Branch
  • COMPLETED
@JessyBarrette
Copy link
Contributor Author

The objective is to generate a simple tool to review and analyze Nutrient Data on the Hakai database and update review flags based on the review.

This ERDDAP dataset will be generated by querying the database for the nutrient data with a filter on only the approved dataset.

@JessyBarrette
Copy link
Contributor Author

@CMack89 We would need to create a Metadata record specific to the Hakai Nutrient data here.

@JessyBarrette
Copy link
Contributor Author

This dataset will essentially be a direct view of the database endpoint /eims/views/output/nutrients with data filtered for certain flags (most likely AV, potentially SVC)

@JessyBarrette
Copy link
Contributor Author

The first draft of a Nutrient dataset ERDDAP dataset is now available on the Goose ERDDAP:
https://goose.hakai.org/erddap/tabledap/HakaiNutrientSampleResearch.html

As of now, we're not yet filtering the data and dropping any flags. All the data is there, if agreed, ONLY AV data will be kept.

Few variables will be dropped.

@JessyBarrette
Copy link
Contributor Author

One issue I can find quickly is that we're capturing not only the oceanography data but also nearshore nutrients. We need to find a solution to exclude that data. I'm not sure which way would be the best. Perhaps, the most selective way would be to filter for specific site ids.

@fostermh
Copy link
Contributor

The survey would be another way to filter. We could also look at adding the project to the view for output.

@JessyBarrette
Copy link
Contributor Author

Thanks @fostermh! Yeah that could an option, sounds like we want to go the more careful route of making available one site at the time anyway, so going by site makes sense for diverse reasons at the end. And it's easy to update the site list by modifying the table

@JessyBarrette
Copy link
Contributor Author

Just been exchanging with @CMack89 and looks like where gonna provide only records that are QCed as AV or BDL for all three nutrient concentration. We'll start with only QU39 for now and add more sites in the near future.

@JessyBarrette
Copy link
Contributor Author

@JessyBarrette
Copy link
Contributor Author

@pramod-thupaki Here's the suggested nutrient dataset.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

No branches or pull requests

3 participants