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Guestbooks allow you to collect data about who is downloading the files from your datasets within a Dataverse a Dataverse collection for which you are the administrator. You can decide to collect account information (username, given name and last name, affiliation, etc.) as well as create custom questions (e.g. What do you plan to use this data for?). You are also able to download the data collected from the enabled guestbooks as Excel files to store and use outside of the Dataverse software.
1. From your Dataverse your Dataverse collection page, click on the Edit button and select Dataset Guestbook.
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2. By default, guestbooks created in the Dataverse your Dataverse the Dataverse software your Dataverse collection is in will appear. If you do not want to use or see those guestbooks, uncheck the checkbox that says include Guestbooks and Root Dataverse.
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There are also options to view, copy, edit, or delete a guestbook. Once someone has downloaded a file in a dataset where a guestbook has been assigned, an option to download collected data will appear.
4.6. Add a logo to your Dataverseyour Dataverse collection
After creating a new Dataverse collection:
1. Click the Edit button.
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Templates are useful when you have several datasets that have the same information in multiple metadata fields that you would prefer not to have to keep maunally typing in or want to use a custom set of Terms of Use and Access for multiple datasets in a dataverseDataverse collection. In Dataverse 4.0, collection templates are created at the dataverse the Dataverse collection level , can be deleted (so it does not show for future datasets), set to default (not required), or can be copied so you do not have to start over when creating a new template with similar metadata from another template. When a template is deleted, it does not impact the datasets that have used the template already.
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How do you create a template?
1. Navigate to your dataverseDataverse collection, click on the Edit Dataverse button and select Dataset Templates.
2. Once you have clicked on Dataset Templates, you will be brought to the Dataset Templates page. On this page, you can 1) decide to use the dataset templates from your parent dataverseDataverse collection, 2) create a new dataset template, or 3) do both
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5. After clicking Save Dataset Template, you will be brought back to the Manage Dataset Templates page and should see your template listed there now with the make default, edit, view, or delete options.
6. A dataverse A Dataverse collection does not have to have a default template and users can select which template they would like to use while on the Create Dataset page.
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*Please note that the ability to choose which metadata fields are hidden, required, or optional is done on the General Information page for the Dataverse repository (TDR).
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