Datasets
The datasets section of the organization administrator panel provides a comprehensive list of all your organizations datasets. This includes any unpublished and unreleased datasets.
You can click the + New button to create a new dataset, or double click on any dataset to edit that dataset and its access configuration.
In order to issue DOIs for your organization's datasets, you must first provide DataCite credentials under Settings -> Advanced. If your organization is part of an institution, and that institution has provided credentials, you may alternatively choose to utilize your institution's DataCite repository for issuing DOIs.
DataCite DOIs can have one of three states:
draft, registered , and findable. Draft DOIs can be deleted at any time, but once they are moved to a registered or findable state, a DOI is permanent. The only difference between registered and findable DOIs is that external systems and crawlers will more easily find and index the metadata associated with findable DOIs.When a dataset is first created, a DOI is initially created in a
draft state. If the dataset is deleted before its first version is released, the draft DOI will be deleted. However, once a version of a dataset has been released, its DOI is permanent. If the dataset is publicly discoverable (overview access is public), the DOI will be set to findable, otherwise it will simply be registered. If the dataset is deleted, Redivis will persist a "tombstone page" that will allow links to the DOI to continue to work.DOIs are more than just persistent identifiers — they are accompanied by rich metadata that allows other tools to surface your datasets and link them to the broader body of academic work. Every field on the dataset page maps to corresponding entries in the DataCite metadata; you can view these metadata by clicking Metadata -> DataCite on the right of the "Overview" section of the dataset page. Redivis will automatically sync the DataCite metadata whenever your dataset is updated.
Redivis will only ever publish metadata to DataCite that is publicly visible. This means that if your dataset is completely hidden from public view, no metadata will be propagated to DataCite (including the dataset's name). Instead, a placeholder mentioning that "This dataset has been hidden from public view" will be used in place.
While this situation isn't ideal, it allows DOIs to still be used for disambiguation when discussing the dataset, and provides a potential pathway for future investigators to contact the data owner.
Note that metadata associated with your dataset will automatically be updated if you change the public access level of your dataset.
Redivis creates a DOI for every version of a dataset, allowing for authoritative references and reproducibility of data used in researchers' work. Per DataCite guidelines, once a dataset has more than one version, Redivis will also issue a DOI for the dataset as a whole, whose metadata will reflect the latest version of the dataset. All version DOIs will point to this canonical DOI, and also link to each other (as previous / next versions) in the DataCite metadata. This structure improves discoverability and disambiguation when referencing versioned datasets.
Featured datasets will be prominently displayed on the main page of your organization's data portal, and may rank higher in search results. To feature a dataset, right click on that dataset and change its status to featured.
As your organization creates datasets, you may find it easier to perform certain dataset management operations in bulk. To do so, shift/cmd+click to select multiple datasets in the list, and right click and select the option to edit in bulk.
The dataset bulk editor allows you to harmonize the permission group, tags, featured status, and published status across multiple datasets.
Last modified 7mo ago