Registering datasets in Pure
How to register a research dataset in the University's Current Research Information System.
Registering your dataset(s) in Pure
You need to register any datasets that you want to retain beyond the end of your project.
Pure is automatically updated when a dataset is registered or published in the University of Bath Research Data Archive, so in most cases you do not have to use Pure directly to do this.
If your dataset has not yet been archived, log into the University of Bath Research Data Archive and start a new item. See our guide to depositing your data in the University of Bath Research Data Archive for more details.
If you have already deposited your data in an external data archive (repository), email the Research Data Service: firstname.lastname@example.org. They will set up a record for you in the University of Bath Research Data Archive, based on the one in the external archive.
You should only register your dataset directly in Pure if it is so sensitive that even the record describing it cannot be made public.
How to register your dataset in Pure
To register your dataset in Pure:
- Login to Pure.
- Select 'Datasets' on the left hand side of the screen.
- Click on the green 'Add new' box on the right hand side of the screen.
- Choose 'Dataset' box on the next page and completed the online metadata forms on the next page. Guidance on completing the form are given below.
There is a printable version of the dataset registration guidance on the Pure User Guides webpages.
Filling in the fields of the template
This section collects basic information about the dataset. The information your provide here will help you and others find the record again in Pure and other systems.
Provide a name for your dataset that describes the data, but does not exactly copy the title of an associated journal article, for example 'Dataset for "[journal article title]".
Describe what the subject of the data is and the types of data included in the set, plus any other contextual information that would help someone understand what the dataset contains. Make sure that you are describing the dataset, not any associated publications.
Provide the start and end date of your period of data collection of your study period.
This section collects information about the people responsible for the dataset. Select 'Add person' to add a person, or 'Add organisational unit' if you want to add a whole organisation or department.
For each person you add you will be asked to provide their role and affiliation.
Use 'Creator' if that person's name would normally appear in the citation for the dataset. Otherwise, specify the role they played (for example Data Collector, Project Leader, Rights Holder) in the development of the dataset.
You can add the same person multiple times if they had several roles.
Affiliation to the dataset
For each person provide their affiliation at the time that the dataset was created. This field should be automatically generated but you may need to update it if the person has since moved to a different department.
Dataset managed by
Check that the 'Managing organisational unit' is the department responsible for the dataset.
This section collects information about where the data will be kept long term, and from where it will be available.
This refers to where you will archive your dataset. If you have deposited your data with an external repository/archive, or you plan to do so, select 'Change publisher' and provide the repository name.
Digital Object Identifer (DOI)
If your dataset is so sensitive that a record describing it cannot be made public, it cannot be assigned a DOI.
Locally held data
If your dataset is non-digital or held offline, add details here of where the data are stored, on what medium, and who has access.
Insert the current year. Ignore the next section labelled 'Do not use'.
Access contact details
This is the main contact person for the dataset and must be one of the people listed as a 'Creator' in the 'People' section. If this is left blank we will assume that the first named 'Creator' of the project is the main contact.
If your dataset relates to a period of time before you collected it (for example, animal records from 1850-1905), enter the date range here.
Leave this section blank if your dataset contains information about vulnerable groups (for example, endangered species) or if location is not relevant.
If the dataset relates to an area or location, use this field to describe it in words (e.g. Bath, UK).
If the data was collected at a specific point, select 'Point' and enter the latitude and longitude separated by a comma.
If the area can be adequately described by a rectangle on a map, select 'Area'. Enter the latitude and longitude in the southwest corner, then those of the northeast corner with all four elements separated by spaces (for example '51.33919 -2.63887 51.50426 -2.31202).
In this section you must tell us about the data protection, ethical, commercial or sensitivity issues that relate to your dataset. If you are unsure contact the Library Research Data Service for advice before saving your item for validation. Email email@example.com.
Tick this box if your dataset contains personal data, unless it has been fully anonymised.
Provide details about whether you have gained consent from participants for data sharing, and if so under what terms (for example, data anonymisation or data sharing agreements).
Consult the guidance on data protection for more information.
Tick this box if your research required ethical approval.
Provide details on whether this affects your ability to share the data.
Tick this box if commercial considerations constrain your ability to share the data.
In the text box that appears provide further details of these constraints (e.g embargo time to allow for commercialisation). If you have been working with a commercial partner, the constraints should be clear from the collaboration agreements.
Consult the Research and Commercialisation contracts team for more information.
Tick this box if your dataset contains material which may be considered to be sensitive for any reason not already covered (for example, locations of endangered species, fragile ecosystems, genetically modified crops or animal testing, or data subject to non-disclosure agreements).
Provide details of the nature of this sensitivity and the restrictions you are putting in place for the dataset or dataset record.
Relations to other content
Use the 'Project' button to link your dataset to a project in Pure. We need to know this in order to tell who funded the work. Note that not all studentship funding is listed in Pure.
You can also link your datasets to other outputs, for example publications that make use of the data or related datasets from the same project or programme of work.
This section determines whether the dataset will appear on the Research Portal and be visible to other Pure users. Set it to 'Confidential - restricted to associated users and editors' to let us know that the dataset is so sensitive that even the record describing it cannot be made public.
Once you have saved the record for validation, we will check it over and validate it for you.