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Scholars Portal Dataverse upgraded to version 5.8 on January 31. This upgrade brings exciting new features, including:
To test these features, feel free to use our sandbox environment.
Full details about the new features and changes can be found in the IQSS GitHub Release pages (English only):
Please reach out if you have any questions or feedback.
Private URLs provide access to unpublished datasets without the need to log into an account. Users can create a URL for anonymized access, which conceals metadata fields that contain identifying information about the author.
URLs for anonymized access have been a desired feature by the community to support the blind peer-review process.
This feature is available to dataset admins and curators. Under the “Edit dataset” menu on a dataset page, select “Private URL.” In the pop-up window, select “Create URL for Anonymized Access.”
In the next window, click “Copy to Clipboard” to copy the URL to provide access to the anonymized dataset. Once the review process is complete, either select “Disable Private URL” or publish the dataset.
The anonymized dataset has fields withheld such as Author name, Depositor name, and Contact name (shown with yellow boxes). Other fields withheld include Producer, Production Place, and Distributor.
Note: Our testing revealed that the parent Dataverse collection(s) are shown in the dataset page breadcrumbs (shown with a red box at the top of the page), which might reveal some information about the researcher or research group.
For more details about anonymous review, see the Advanced User Guide (English only).
Embargoes make files inaccessible after a dataset is published until the embargo period end date. The effect of adding an embargo is similar to making a file restricted, meaning that file previews and the ability to download is prevented until the embargo period is over. Requests for file access cannot be made during this time.
Users configure a specific embargo on an individual file or a set of selected files. Therefore, in order to set a dataset-level embargo, users would need to set the same embargo date on all files in the dataset.
Embargoes can only be set, changed, or removed before a file has been published.
Embargoes allow users time to publish the dataset to make the metadata available, but the files are not accessible until a specified release date for reasons such as article publication plans or agreements with funders or industry partners.
This feature is available to dataset admins, curators, and contributors. Select the file(s), and under the “Edit Files” menu, select “Embargo” (shown with a red box).
In the pop-up window, type in the end-date (YYYY-MM-DD) or use the calendar widget to select the end-date of the embargo. Enter in a short explanation for the reason for the embargo in the text box. Select “Save Changes” to set the embargo.
Once the dataset has been published, the embargo period is displayed in the file metadata and under the file access menu (shown with red boxes). The embargo cannot be changed after the dataset is published.
For more details about embargoes, see the Advanced User Guide (English only).
Curation labels can be applied to a draft dataset version to indicate its status as part of a curation process. Currently, the standard set has been enabled for institutional Dataverse collections, which includes the following labels:
Labels are visible on the Dataset page and in Dataverse collection listings/search results to dataset admins and curators. Internally, the labels have no effect, and once the dataset is published any existing label will be removed. A reporting API call can be used by admins to obtain a list of datasets and their curation statuses.
The Scholars Portal team can work with institutional Dataverse collection admins to enable the curation label list for their Dataverse collection.
The labels can be used by Dataverse collection administrators as part of their curation process in order to more easily identify the status of datasets in their collection(s).
This feature is available to dataset admins and curators (those who are able to publish datasets). Under the “Publish Dataset” menu, go to “Change Curation Status” and then select the desired label or remove the current status.
The labels are viewable from the Dataset collection page as coloured tags.
Dataverse collection admins can specify at the Dataverse collection level which language will be used when entering metadata for new datasets. Once the language has been set, a message appears at the top of the metadata editing page (e.g., “Please enter metadata in the Français language, or change the metadata language choice in the parent dataverse before proceeding”). A message appears at the top of a metadata record (e.g., “This dataset has been configured to use Français as the language for all metadata entries") as shown in the screenshot below.
Additionally, the specified language appears in the DDI Metadata Export (as shown in red).
This feature provides internationalization support so that Dataverse collection admins can set the metadata language for new datasets and as a result the appropriate XML language tags are added to the DDI XML output. While it does not enforce using a specific language in the metadata, the setting indicates the requested language when editing and again when metadata is displayed.
Note: Currently disabled. Dataverse collection admins can configure this feature. On the Dataverse collection page, go to the “Edit” menu and select “General Information.” Under “Dataset Metadata Language” select English or French. Sub-collections will inherit this setting, but it can be modified by the admin.
Dataverse recognizes and identifies many different research data file formats and types. In this new release, Scholars Portal contributed an improvement to the Dataverse repository codebase to incorporate new identification support for the GeoJSON and Beyond 20/20 data file formats. This ensures that these files are correctly identified in the system and displayed in the interface’s file-level metadata. Previously, when these file formats were deposited, the Dataverse system displayed an ‘Unknown’ label for the formats.
Support for improved and expanded file format identification in the Dataverse system enables data managers and users to properly identify file formats and take the care needed to access and reuse them. Some file formats may become obsolete over time, or require specialized software which may have specific versions for reuse. It is therefore important that these formats are documented alongside deposited data files and associated metadata. In the future, if file formats are documented correctly, someone accessing them will know how to open them and hopefully reuse them.
When depositing a GeoJSON or Beyond 20/20 file in Dataverse, the system will automatically recognize and identify it correctly, displaying the label in the interface’s file-level metadata. This identification further supports certain curation activities performed by the Dataverse repository system, such as file format normalization and file preview.
Dataverse supports file preview for certain file formats, including tabular data files such as Excel and SPSS, and for images, videos, etc. With this release, Scholars Portal has expanded the file previewer framework to support geospatial data file preview. Utilizing the information stored within GeoJSON files, Dataverse can now preview spatial attributes and display coordinates such as points and boundaries on a map-based visualization previewer.
Researchers with geospatial datasets often rely on map-based visualizations to analyze and communicate research findings and results. With this new geospatial preview support, anyone accessing GeoJSON files in Dataverse will have the option to preview the data on a map to show results without downloading or opening the data in specialized software or tools. Furthermore, this map-based preview display can be used for visualization and analysis purposes, or, for linking to from within a researcher’s paper or website for communication and data dissemination purposes.
Any authorized user can deposit GeoJSON files into Dataverse. The new map-based file previewer will automatically display after the file uploads and the Dataset is created.
Please reach out if you have any questions or feedback.