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[dataset]: Jellyfish dataset training #246

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Ggisele-design opened this issue Feb 14, 2024 · 9 comments
Open

[dataset]: Jellyfish dataset training #246

Ggisele-design opened this issue Feb 14, 2024 · 9 comments
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data help questions specific to a dataset Stale workshop Issues created associated with any of the workshops hosted by the SMBD

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@Ggisele-design
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[email protected]

Dataset Title

Jellyfish diversity and ecology of the coastal region of Cameroon

Describe your dataset and any specific challenges or blockers you have or anticipate.

My dataset is a collection of species sampled along the coastal region of Cameroon and physicochemical of the coastal waters. Establish relationship between biological and environmental variables, sizes, abundance, etc.
Jellyfish_Dataset_training_Python.csv
Jellyfish_Dataset_training_Python.xlsx

Info about "raw" Data Files.

The "raw" data is a small dataset of jellyfish species with ecological variables

@Ggisele-design Ggisele-design added the data help questions specific to a dataset label Feb 14, 2024
@MathewBiddle MathewBiddle added the workshop Issues created associated with any of the workshops hosted by the SMBD label Feb 14, 2024
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Thank you for identifying this dataset for mobilization. The workshop hosts wanted to check in. Is there anything you need help with in order to mobilize this dataset to OBIS? If you would like assistance from an OBIS node you can find node contacts listed here.

@github-actions github-actions bot added the Stale label May 15, 2024
@Ggisele-design
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Ggisele-design commented May 29, 2024 via email

@github-actions github-actions bot removed the Stale label May 30, 2024
@7yl4r
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7yl4r commented May 31, 2024

what it means to mobilize a dataset for OBIS

OBIS is a platform to which you can publish your data.
In order to do so the data needs to be in a standard format called a Darwin Core Archive.
What we call "mobilization" is the process of moving data from excel files on researcher laptops (for example), shaping it into a Darwin Core Archive, and publishing it to OBIS by uploading to an IPT server.

@sformel-usgs
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@Ggisele-design OBIS is a platform where you can publish your data. This allows you to share it with others, others can cite it, and you can cite it in your own articles. We're happy to help you mobilize (AKA publish) your data, but you're also welcome to reach out to the Sub-Saharan African OBIS node manager, Tshikana Rasehlomi, (@TRasehlomi) if you'd prefer to work with them.

@Ggisele-design
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Ggisele-design commented Jun 15, 2024 via email

@Ggisele-design
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Ggisele-design commented Jun 18, 2024 via email

@7yl4r
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7yl4r commented Jun 20, 2024

A walkthrough of the process of converting data to Darwin Core and publishing on OBIS+GBIF is on the Data Mobilization Workshop website.

@sformel-usgs
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Hello @Ggisele-design, the tutorial link that was provided by @7yl4r should help you understand how to do the task. The duration of the publishing process depends on how well-documented and standardized the data is. If the data is already in good condition, it can be completed quickly in a day or less. However, if the data needs extensive cleaning, standardization, and documentation, it might take a few weeks or months, depending on your skills and how easy it is to find information about how the data was created.

Although it may not be the answer you were hoping for, it is the reality of the situation. Based on the data you have uploaded to Github, you could probably align this with Darwin Core quite quickly. If the metadata is equally detailed and well-documented, it should take no more than a few days.

If you would like to schedule a time to discuss the next steps with me, please email me directly at [email protected]. (Please note, these emails you are receiving are being sent through Github.)

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Thank you for identifying this dataset for mobilization. The workshop hosts wanted to check in. Is there anything you need help with in order to mobilize this dataset to OBIS? If you would like assistance from an OBIS node you can find node contacts listed here.

@github-actions github-actions bot added the Stale label Oct 10, 2024
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