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PURE Datasets Guide

How to Create a Dataset Record in PURE

How to Create a Dataset Record in PURE

Strengthening your Data Access (Availability) Statements

The Data Access Statement (DAS) is one of the most important sections for the future credence of a manuscript. It is where interested readers go to locate the data upon which your manuscript’s claims lie, whether to verify those claims or to utilise the data for further research.

The DAS is also the section most likely to suffer neglect or hastiness.

Review Strengthening your Data Access Statement for guidance on how to improve your DAS. ​

Training

PURE for Datasets Webinar

A webinar was delivered through MS Teams to give staff a step-by-step introduction for using PURE Datasets and to provide guidance on associated data-related issues.

PURE Datasets Training

The Research Performance Team hold regular drop-in sessions for staff on PURE and Open Access and can provide support on depositing datasets during these sessions. For dates and to register for a drop-in session go to the PURE Support webpage.

Data Management Planning (DMP) webinar

An introductory webinar was delivered through MS Teams to outline resources available to Ulster researchers to help with Data Management Planning.

External RDM Training Resources

There are several freely available general online training resources for research data management, including:

  • CESSDA ERIC (the Consortium of European Social Science Data Archives European Infrastructure Consortium) is an expert tour guide written for social science researchers who are in an early stage of practicing research data management.
  • DMPonline provides help with writing data management plans.
  • MANTRA provides online training course on managing digital data for a research project.
  • The Digital Curation Centre (DCC) provides a wide range of resources on collecting, selecting, maintaining and preserving research data.
  • UK Data Archive provides information on creating and managing data.
  • UK Data Service is a collection of social, economic and population data resources.

For more information, support and advice email:

pure-support@ulster.ac.uk