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The How To Guides found in this section contain information on a variety of topics relevant to users of the ODCs. These guides are organized into collections, with each collection focused on a specific user goal.
The information provided in these guides assumes that users have a basic understanding of:
How the ODC is organised
How account type determines access to user functions AND data spaces
How to navigate the ODC to access user functions
Elements of an ODC dataset
If you are unfamiliar with these topics, please review the following documentation sections before working through the topic guides:
How To Topic Guides
How to: Organise Data
The guides in this section provide information on how to organise and format your data to be machine readable and compatible with the ODC. These concepts are broadly applicable to many types of scientific data and will help future you facilitate data sharing - we encourage users to incorporate these ideas into their everyday workflow.
Organise DataHow to: Prepare a Dataset for Upload
The guides in this section provide information on the three components that make up an ODC dataset: the subject data file, the data dictionary, and the metadata. These guides cover formatting requirements and data standards for each component, contain best practice tips, and are designed to ensure you have all of your data organized and formatted BEFORE you begin the upload process.
How to: Upload a Dataset
The guides in this section provide information on how to upload the various components that make up an ODC dataset. These guides are broken down by dataset component to make it easy to find and troubleshoot issues.
How to: Update (Manage) a Dataset
The guides in this section provide information on how to update (manage) an existing, unpublished dataset that has been uploaded to the ODC.
How to: Request a DOI & Publish a Dataset
The guides in this section provide information on how to request a DOI and publish a dataset. These guides also provide an overview of the editorial review process, and explain the data quality checks and automatic validations that are carried out when you request to publish a dataset.
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