Dataverse Rust is a client library and command-line interface (CLI) for interacting with the Dataverse API. This project is in active development and not yet feature complete.

Current capabilities include:

• Create: Create a new collection within the Dataverse.
• Delete: Remove an existing collection.
• Publish: Publish a collection to make it publicly available.
• Contents: Retrieve the contents of a collection.

• Version: Retrieve the current version of the Dataverse instance.

• Get: Fetch details of a specific dataset.
• Create: Create a new dataset within a collection.
• Edit: Modify an existing dataset.
• Delete: Delete an unpublished dataset.
• Upload: Upload a file to a dataset.
• Publish: Publish a dataset to make it publicly available.
• Link: Link datasets to other collections.

• Replace: Replace existing files in a dataset.

Command line

cargo install --git https://github.com/JR-1991/rust-dataverse.git

Cargo.toml

Please note, this crate is not yet published on crates.io. You can add it to your Cargo.toml file by pointing to the GitHub repository.

[dependencies] dataverse = { git = "https://github.com/JR-1991/rust-dataverse" }

Before you can use the command line tool, you need to set the DVCLI_URL and DVCLI_TOKEN environment variables. You can do this by adding the following lines to your .bashrc or .bash_profile file:

export DVCLI_URL="https://your.dataverse.url" export DVCLI_TOKEN="your_token_here"

The command line tool in organized in subcommands. To see a list of available subcommands, run:

dvcli --help

To see help for a specific subcommand, run:

dvcli <subcommand> --help

Example

In this examples we will demonstrate how to retrieve the version of the Dataverse instance.

dvcli info version

The output will be similar to:

Calling: http://localhost:8080/api/info/version └── 🎉 Success! - Received the following response: { "version": "6.2" }

We have provided an example in the examples directory. These examples demonstrate how to use the client to perform various operations.

• examples/create-upload-publish - Demonstrates how to create a collection, dataset, upload a file, and publish the collection and dataset.

• Implement remaining API endpoints
• Write unit and integration tests
• Asynchronous support using tokio
• Documentation
• Publish on crates.io
• Continuous integration
• Validate before upload using /api/dataverses/$ID/validateDatasetJson