This document gives hints on dataverses and datasets containing data and materials related to publications (e.g. articles, books, websites).
First of all, the checklist must be considered as for every dataverse/dataset
Then, think about the structure of your data: if you need only one or few datasets to be placed in an existing dataverse (e.g. your personal dataverse, or the dataverse of a project), they have to be named as “Replication data for” followed by the title of the publication. For more structured data (many datasets, eventually with one or more dataverse crated for) the naming of dataverses and datasets has to show the relation between them, e.g. for a book can be created a dataverse named “Replication data for [book title]” containing one dataset for each chapter named “Replication data for [book title], [chapter number/title]”.
Remember to fill the description field of each dataverse and datasets giving information useful for understanding the context in which data were produced: remember to focus on nature, purpose and scope of the dataverse/dataset, avoiding to give only publication information e.g. authors names; at the dataset level more than one description can be provided.
At the dataset level the publication must be recorded using the dedicated fields in the “Related Publication” section, paying attention to record an identifier of the publication, if any, in the ID Number (e.g. DOI). Remember that a dataset can be related to more than one publication (e.g. two articles on two different journals, or two chapters on the same book).
If you need to share any of your datasets to reviewers before publishing them, use “Private URL” function in the Edit menu: you will obtain a URL that allow external users to see your data (you will have to create one URL for each dataset).
It is also possible to provide a specific access to any user that owns a login in the dataverse system. In this way it is allowed to work in teams and with collaborators.
Remember to make it clear how data were created and eventually elaborated, providing all details to allow replication and reuse.
Uploading files, pay attention to:
- file formats, preferring open ones;
- the license, remembering to provide details on how to obtain files if you close them;
- provide a file list and/or a readme when needed (e.g. for many files)
1 tick the checklist
2 decide how many dataverse/dataset you need
3 name and describe each one
4 link each dataset to related publications
5 use Private URL for reviewers
6 when uploading files, pay attention to formats, license, list & readme