A Dataverse is a container for one or more Datasets or Dataverses. Each participating institution has a Dataverse that may contain multiple Dataverses and Datasets. A Dataset is a container for a particular research data set (this can include research data, code, and documentation).

This Dataverse instance is provided as a shared service of Scholars Portal on behalf of the Ontario Council of University Libraries (OCUL) and other participating institutions. There is no direct cost to researchers or other users.

Scholars Portal Dataverse is provided by Scholars Portal on behalf of the Ontario Council of University Libraries (OCUL) and other participating institutions. Institutions that use the service are provided with an Institutional Dataverse that is available for use by affiliated students, researchers, faculty, and staff. Permissions for deposit are managed by the individual institutions.

Although anyone can sign up for an account in Dataverse, those who are not affiliated with a participating institution need to request access to deposit by the dataverse admins or the collaborators who are affiliated with a participating institution. Please contact us if you have any questions about the service model. We ask that you abide by the Scholars Portal Terms of Use when creating an account and using the platform.

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, including shapefiles, images, Flexible Image Transport System files, and compressed files. However to make use of the Data Explorer feature, you need to upload tabular data files (e.g. Stata, SPSS, R, Excel (xlsx) and CSV).

To find out more about data downloading, uploading and file upload limits, see our complete user guide.

Dataverse allows you to upload and store backup copies of your research data in case your local copy is lost or destroyed. It is generally a good idea to keep a copy of your research data in Dataverse.

Any data uploaded to Scholars Portal Dataverse can be restricted to only authorized users. You can easily manage the restrictions of your Dataverse and datasets to be private, available to only certain IPs, to individual account(s), or to specific groups (see the Permissions sections of our user guide or the Advanced Dataverse User 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. Scholars Portal makes backup copies of the data you upload regularly in the event of a server or system malfunction, malicious attack, or other technical issue.

We encourage you to share data openly as a good scientific practice. Please do your due diligence and attempt to make the outputs of your research open for all to see and reuse.

Scholars Portal Dataverse does NOT accept content that contains confidential or sensitive information. Dataverse can be used to share de-identified and non-confidential data only. Contributors are required to remove, replace, or redact such information from datasets prior to upload.

If you have sensitive or confidential data that you need to store or share (containing personally identifiable information such as social security or credit card numbers, health records, etc.), please contact your institution to find out about the policies and options for managing this kind of data outside of Dataverse.

Dataverse also supports groups of researchers who wish to upload and collaborate on a dataset 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 our user guide or visit the 蚂蚁vp(永久免费) created by Harvard.

No, datasets or dataverses do not need to be published in order to share them. Please see superⅴpn下载apk 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 the research being conducted is multi-institutional. If you are not affiliated with a participating institution, please contact us for more information about depositing in the root dataverse.

Dataverse automatically generates a standard data citation that can be used in any research publication, so you can easily 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 dataset in Dataverse.

Datasets will be assigned a Digital Object Identifier (DOI) that conforms to the DataCite Canada service. All datasets published in Dataverse with a DOI will be automatically indexed in 猫和老鼠雪夜古堡高级难度怎么玩_猫和老鼠雪夜古堡高级难度 ...:2021-7-1 · 猫和老鼠中的雪夜古堡是一个经典地图，地形很复杂，各种小房间非常的多，有很多的地方和技巧需要注意，下面小编来为大家介绍夜古堡高级难度玩法攻略。.

By default, any metadata about published data in Dataverse are harvestable by other Dataverses, repositories, global search engines, etc. Dataverse is regularly crawled by Google and all of the open metadata is indexed and searchable via the Google search service. The Dataverse platform supports open APIs and 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 global data discovery.

Scholars Portal has been working with the Shared Access Research Ecosystem (SHARE) and the Canadian Federated Research Data Repository (FRDR) to integrate publicly released datasets into open web discovery services. 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 Dataverse was the first instance of a Dataverse feeding metadata into the SHARE Notification System. This does not affect the workflow for contributors to the Scholars Portal Dataverse.

In accordance with 猫和老鼠2021下载_猫和老鼠2021单机游戏下载_牛游戏网:2021-4-1 · 猫和老鼠单机游戏大全 《猫和老鼠》（Tom and Jerry）是米高梅电影公司于1939年制作的一部动画片，该片由威廉·汉纳、约瑟夫·巴伯拉编写，弗雷德·昆比制作，首部剧集《甜蜜的家》于1940年2月10日在美国首播。, only data and metadata that have been publicly released are exposed to others through the programming interfaces and metadata harvesting application.