The Scholars Portal Dataverse is a repository primarily for research data collected by researchers and organizations affiliated with Ontario universities, although anyone in the world is welcome to use Scholars Portal Dataverse to deposit, share, and archive data.
Dataverse is an open-source tool developed by the Institute for Quantitative Social Sciences (IQSS) at Harvard University. Scholars Portal Dataverse is provided as a shared Ontario Council of University Libraries service.
Researchers can use Dataverse to directly deposit data, create metadata, release and share data openly or privately, visualize and explore data, and search for data.
For more information about Scholars Portal Dataverse, please contact email@example.com
What is a Dataverse?
A Dataverse is a container for one or more Datasets or Dataverses. Each Ontario University has a Dataverse that contains many Dataverses and Datasets. Researchers can create Dataverses for their own research data and projects, and/or directly deposit Datasets within their Institutional Dataverse.
At this time, anyone can sign up for an account and deposit data with Dataverse, although the service is primarily for those affiliated with an Ontario University, including students, researchers, faculty, and staff.
Dataverse also supports groups of researchers to upload and collaborate on a study or Dataverse together. This is useful for large projects with multiple researchers in different locations. For more information about how to use group permissions and assign account roles, see the Permission sections of this guide or visit the Advanced Dataverse User Guide created by Harvard.
The Scholars Portal Dataverse service is paid for by the Ontario Council of University Libraries (OCUL). There is no direct cost to researchers or other users.
Dataverse allows you to upload data and store it in case your local copy is lost or destroyed. It is generally a good idea to keep a copy of your data in Dataverse.
Any data uploaded to SP Dataverse can be restricted to only authorized users. You can easily manage the restrictions of your Dataverse and studies to be private, available to only certain IPs, to individual account(s) or to specific groups (see the Permissions sections of this Guide for further information). Security is in place to protect your data from others who wish to exploit or access data that they are not authorized to, including sensitive data.
Sharing data openly is considered good scientific practice and in most academic disciplines it is actively encouraged, if not required. Please do your due diligence and attempt to make the outputs of your research open for all to see and reuse.
Scholars Portal makes backup copies of the data you upload to Dataverse regularly in the event of a server or system malfunction, malicious attack, or other technical issue.
Dataverse allows you to upload and share your data with anyone in the world. It uses the DOI system, an international standard for simple, persistent identifiers. Even if the location or version of your data changes, the same URL will always point to the most current version.
Creating a Private URL for your dataset allows you to share your dataset (for viewing and downloading of files) before it is published. It is not necessary to have a Dataverse user account to view the dataset; simply share the link with groups or individuals to allow them to view your data. Please see the Advanced User Guide here for more information on creating your Private URL.
You are also able to provide groups and individuals access to your data using dataset-level and file-level permissions. This approach works for both published and unpublished datasets.
No, datasets or dataverses do not need to be published in order to share them. Please see the question above for more details.
Researchers may choose to deposit their data in an institutional dataverse if they want to share their work with their institution (e.g. to facilitate collaboration, meet grant requirements, etc.).
The Scholars Portal root dataverse may be used to deposit data if researchers are not affiliated with one of the listed institution, if they are conducting personal research, or if the research being conducted is multi-institutional (please note that in this last case researchers can choose instead to duplicate data within multiple institutional dataverses).
Dataverse generates a standard data citation that can be used in any research publication, so you can always be given credit. Users can download the citation in various formats by using the "Cite Data" button. The citation includes a persistent URL that will point people quickly and easily to your study in Dataverse.
Datasets and dataverses deposited after the upgrade to Dataverse 4 will now be assigned a Digital Object Identifier (DOI) that conforms to the DataCite Canada principles for identifiers for datasets
By default, any data that are uploaded and released openly are harvestable by other Dataverses, repositories, search engines etc. The Dataverse platform supports the Open Archives Initiative (OAI) harvesting protocol OAI-PMH, which allows published and public files to be harvested by other systems for the purposes of data discovery.
The Data Sharing API is another way developers can access publicly shared data and metadata for use in other systems or applications.
Scholars Portal has been working with the Shared Access Research Ecosystem (SHARE) to integrate publicly released Dataverse studies into their beta SHARE Notification System. The SHARE Notification System is a higher education-based initiative to strengthen efforts to identify, discover, and track research outputs. Its goal is to aggregate and make discoverable many types of research outputs (including data). Scholars Portal’s Dataverse will be the first instance of Dataverse feeding metadata into the Notification System. This does not affect the workflow for contributors to the Scholars Portal Dataverse.
The maximum file size you can upload to Dataverse through the user interface is 2GB per file. This is typical of most online repository systems. Please note that this is the upper limit, and performance will depend on your system and network settings.
For data that are uploaded as “subsettable” files through the UI (for exploring, visualization, and subsetting from the “Data & Analysis” tab), file size limits depend on the number of columns in your dataset (for tabular datasets), as well as, the number of cases or rows in your file. The 2GB restriction does not apply for subsettable files. It is typical that uploads will fail if your file is larger than 400 to 500MB in size.
If you have larger datasets, there is also the Dataverse SWORD API, which can support upload of up to 2GB files.
In all cases, it is recommended that file size be considered when assessing data reuse, as larger files are more difficult for researchers to handle and work with. Preparing and structuring your data for reuse requires careful consideration of the end-users, software required for analysis, download, and space considerations. Nevertheless, some datasets are just large and it is true that some disciplines have larger sized datasets. Dataverse is always developing to support more disciplines and data types, so it is possible that in the future larger datasets will be better managed by Dataverse.
If you have questions about file size limits and upload of data, please contact us at firstname.lastname@example.org
The Dataverse SWORD API, which can support upload of up to 2GB files, is another way to upload data to the system. If you have larger files consider zipping them up, or breaking them down into logical parts while still maintaining the ability to reproduce data (by year, topic, etc.) so that others may easily reuse them.
If this is not possible, please contact us at email@example.com for support.
Dataverse is ideal for depositing and sharing research data, and supports a variety of research data types and formats. You are welcome to upload research data, supplementary tables and documentation, publications associated with data, presentations, etc.
Dataverse supports the uploading of any file type. This includes tabular data files (Stata, SPSS, R, Excel (xlsx) and CSV), shapefiles, Flexible Image Transport System files, and compressed files.
You can download as much openly available data as you would like from Dataverse; there are no restrictions. You can also harvest the metadata and data of all open and released Dataverses and studies using the Dataverse Data Sharing API.
There are some restrictions for downloading certain files and selecting multiple files in Dataverse to download. Dataverse allows a user to select multiple files or grouped file downloads so that you can download all the files associated with a particular study at once. The grouped file download is limited at 500MB file size, which is represented as a .zip file package download. If the study contains data that totals are larger than 500MB, a log is generated in your download that tells you which files were successfully downloaded given this limit.
If you have questions about downloading please contact us at firstname.lastname@example.org
There is no storage limit currently enforced, however if you are depositing a lot of data that in total exceed 10GB it is appropriate to contact your library so that we are aware of the storage needs and can approve further storage should you need it.
To schedule an appointment or to get support with storage, contact your local library. For technical questions contact email@example.com
Currently, the ability to link a dataverse to another dataverse or a dataset to a dataverse is a super user only feature.
If you have questions about linking within Dataverse, please contact us at firstname.lastname@example.org
Since Dataverse is a service of your university library, you and your institution retain control of the data at all times. Scholars Portal Dataverse is hosted completely on Canadian servers, so there’s no question about jurisdiction or what laws apply.
Other Scholars Portal Data Resources
We are in the process of making public datasets and dataverses searchable on <odesi>. Stay tuned for future announcements!
The OSF provides cloud-based management for your projects, enabling you to keep all project files, data and protocols in one centralized location. The OSF can also be connected to several third-party storage services, including Dataverse 4.0. See the OSF Guide for further information.
Rules and Conduct
By way of example, and not as a limitation, you shall not (or permit others to) either (a) take any action or (b) upload, download, post, submit or otherwise distribute or facilitate distribution of any content using any communications service or other service available on or through the Service, that:
Additionally, you shall not: (i) take any action that imposes or may impose (as determined by OCUL in its sole discretion) an unreasonable or disproportionately large load on OCUL's (or its third party providers') infrastructure; (ii) interfere or attempt to interfere with the proper working of the Service or any activities conducted on the Service; or (iii) bypass any measures OCUL may use to prevent or restrict access to the Service (or other accounts, computer systems or networks connected to the Service).
You shall abide by all applicable local, state, national and international laws and regulations.
The Service provides you with the ability to upload, submit, disclose, distribute or otherwise post (hereafter, "posting") content (including, without limitation, information, data, and images) to the Service ("User Submissions") and to allow other users to do so. The Service provides you with the ability to display, organize, and accept content through creating a Dataverse.
An important part of the mission of OCUL is to acquire and preserve research data and provide access to it. OCUL intends to create archival versions of the Content that will facilitate preservation, verification, management, and use, and to permanently archive these versions of the Content at multiple locations. OCUL will use good archival practices, as identified by OCUL and the data management community, to retain and preserve Content deposited into the Site. Notwithstanding, you acknowledge that OCUL and Third-Party Dataverse Administrators will not be liable for any loss of or damage to the User Submissions, either in whole or in part.
Please be aware that OCUL does not review data submissions before they are made available to the public, so we may only accept data that is publicly distributable. BEFORE YOU CONTRIBUTE DATA TO THE ARCHIVE, YOU MUST ENSURE THAT THE DATA MEETS OUR TERMS AND CONDITIONS. If your data does not meet our terms and conditions, OCUL is unable to accept your data. You will be held legally and financially responsible for OCUL's damages if data you contribute violates these terms and conditions.
By posting User Submissions on or at the Site, or otherwise through the Service, to your Dataverse or other Dataverses, or by allowing others to do so, you make the following representations and warranties to OCUL and to the administrator of that Dataverse:
You shall not provide OCUL with any confidential or proprietary information that you desire or are required to keep secret. You are solely responsible for the User Submissions you post on or through the Service. OCUL does not endorse and has no control over any User Submission.
OCUL has no obligation to monitor the Site, Service, Content, or User Submissions. OCUL may remove any User Submission at any time for any reason (including, but not limited to, upon receipt of claims or allegations from third parties or authorities relating to such User Submission), or for no reason at all.
You represent and warrant you are lawfully entitled and have full authority to license OCUL to use the Materials in the ways described in these Terms and Conditions; and you are not under any obligation or restriction created by law, contract or otherwise that would prevent you from entering into and fully performing these Terms and Conditions.
THE SERVICE (INCLUDING, WITHOUT LIMITATION, THE CONTENT AND USER SUBMISSIONS) IS PROVIDED "AS IS" AND "AS AVAILABLE" AND IS WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE, AND ANY WARRANTIES IMPLIED BY ANY COURSE OF PERFORMANCE OR USAGE OF TRADE, ALL OF WHICH ARE EXPRESSLY DISCLAIMED. OCUL, AND ITS DIRECTORS, EMPLOYEES, AGENTS, SUPPLIERS, PARTNERS AND CONTENT PROVIDERS DO NOT WARRANT THAT: (A) THE CONTENT OR USER SUBMISSIONS ARE TIMELY, ACCURATE, COMPLETE, RELIABLE OR CORRECT; (B) THE SERVICE WILL BE SECURE OR AVAILABLE AT ANY PARTICULAR TIME OR LOCATION; (C) ANY DEFECTS OR ERRORS WILL BE CORRECTED; (D) THE CONTENT OR USER SUBMISSIONS ARE FREE OF VIRUSES OR OTHER HARMFUL COMPONENTS; OR (E) THE RESULTS OF USING THE SERVICE WILL MEET YOUR REQUIREMENTS. YOUR USE OF THE SERVICE IS SOLELY AT YOUR OWN RISK.
OCUL MAKES NO WARRANTIES, EXPRESS OR IMPLIED, BY OPERATION OF LAW OR OTHERWISE, REGARDING OR RELATING TO THE SERVICES OR CONTENT PROVIDED.
Limitation of Liability
IN NO EVENT SHALL OCUL, NOR ITS DIRECTORS, EMPLOYEES, AGENTS, PARTNERS, SUPPLIERS OR CONTENT PROVIDERS, BE LIABLE UNDER CONTRACT, TORT, STRICT LIABILITY, NEGLIGENCE OR ANY OTHER LEGAL THEORY WITH RESPECT TO THE SERVICE OR ANY CONTENT OR USER SUBMISSIONS (I) FOR ANY LOST PROFITS OR SPECIAL, INDIRECT, INCIDENTAL, PUNITIVE, OR CONSEQUENTIAL DAMAGES OF ANY KIND WHATSOEVER, SUBSTITUTE GOODS OR SERVICES (HOWEVER ARISING), (II) FOR ANY BUGS, VIRUSES, TROJAN HORSES, OR THE LIKE (REGARDLESS OF THE SOURCE OF ORIGINATION), (III) FOR ANY ERRORS OR OMISSIONS IN ANY CONTENT OR USER SUBMISSIONS OR FOR ANY LOSS OR DAMAGE OF ANY KIND INCURRED AS A RESULT OF YOUR USE OF ANY CONTENT OR USER SUBMISSIONS POSTED, EMAILED, TRANSMITTED OR OTHERWISE MADE AVAILABLE ON OR THROUGH THE SERVICE, OR (IV) FOR ANY DIRECT DAMAGES IN EXCESS OF (IN THE AGGREGATE) $10 (CANADA).
Integration and Severability
Copyright and Trademark Notices
You acknowledge that the copyright in any additional data added by OCUL or Third Party Dataverse Administrators to the user materials, and any search software, user guides, documentation and any other intellectual property that is prepared by OCUL or by Third Party Dataverse Administrators to assist users in using the User Submissions will belong to OCUL or the Third Party Dataverse Administrator(s) creating the content (respectively).
The Dataverse Network and Dataverse Network logo are either trademarks or registered trademarks of IQSS.