‘Protecting sensitive data’: new MANTRA unit now available

The Research Data Support team are pleased to announce a new update to MANTRA, the free and open online research data management training course.

The new ‘Protecting sensitive data’ module has been created from scratch, replacing the previous ‘Data protection, rights and access’ unit to provide an up-to-date guide for researchers working with sensitive and personal data.

MANTRA is designed to give post-graduate students, early career researchers, and information professionals the knowledge and skills needed to work effectively with research data.

The ‘Protecting sensitive data’ unit considers the ethical and legal contexts for conducting research with sensitive data, including information and guidance on:

  • What makes data sensitive?
  • What UK and European data protection laws mean for research
  • Research ethics, informed consent and consent documentation
  • Approvals processes and accessing restricted data
  • Safeguarding sensitive data, including data retention limits, access controls and anonymisation
  • Data protection training

MANTRA is designed to be approachable and informative, and incorporates text and video content plus quizzes, interactive exercises and a ‘further reading’ section.

We hope you find the new content interesting and useful, and we welcome comments on the new unit, as well as feedback on the other seven MANTRA modules.

Finally, the RDS team are currently working on a series of further updates to MANTRA which will be rolled out over the coming weeks, and information about these releases will be posted on this blog and the RDS Twitter account.

Bob Sanders

MANTRA, Lead Editor

Share

DataVault user roles let you share access to archived data

The Edinburgh DataVault is a secure long-term retention solution for research data.

Thanks to the hard work of our software developers in the Digital Library and EDINA, the Edinburgh DataVault now facilitates five different user roles. This means busy PIs can delegate the work of depositing and retrieving data, to members of their team or other collaborators within the University. It also allows PIs to nominate support staff to deposit and retrieve data on their behalf, or grant access to new members of their team.

Diagram representing a PI and two postdocs using the roles of Owner and Nominated Data Manager to share access to data in the DataVault

There are five user roles:

  • Data Owner
    Usually the Principal Investigator. Can add/remove other users to their vault(s).
  • Nominated Data Manager (of a given vault)
    Can view and edit metadata fields, deposit data and retrieve any deposit in the vault. May add/remove Depositors to the vault.
  • Depositor (of a given vault)
    Can view the vault contents, deposit data and retrieve any deposit in the vault.
  • School Support Officer
    Acting on behalf of the Head of School, may view all vaults and associated deposits belonging to the School.
  • School Data Manager
    Assigned only with the express permission of the Head of School, may view, deposit into and retrieve data from any vault belonging to the School.

Full details of the permissions associated with each role:
Roles and permissions

Support staff who need to view reporting data for their School, or admin access to their School’s vaults, should attend our training – Edinburgh DataVault: supporting users archiving their research data.

Further information on why and how to use the DataVault is available on the Research Data Service website:
DataVault long-term retention

If you have any questions about using DataVault please don’t hesitate to contact the Research Data Support team at data-support@ed.ac.uk.

Pauline Ward, Research Data Support Assistant
Library and University Collections
@PaulineData

Share

Research Data Training – Semester 1

*UPDATE* – We have just added two new and exciting courses to our training schedule:

  • Assessing Disclosure Risk in Quantitative Data (RDS006)
  • Assessing Data Quality in Quantitative Data (RDS007)

To find out more about these courses just visit our training page.

Each semester the Research Data Support team puts together a training programme for researchers and research support staff in all schools, and at all points in their career. Our programme this year introduces a number of new courses, including one designed especially for Undergraduates planning their final year dissertation. We have also reviewed and refreshed all of our existing courses to ensure that they are not only up-to-date but also more engaging and interactive.

Full Course list:

  • Realising the Benefits of Good Research Data Management (RDS001)
  • Writing a Data Management Plan for your Research (RDS002)
  • Working with Personal and Sensitive Data (RDS003)
  • Data Cleaning with OpenRefine (RDS004)
  • Handling Data Using SPSS (RDS005)
  • Assessing Disclosure Risk in Quantitative Data (RDS006)
  • Assessing Data Quality in Quantitative Data (RDS007)
  • Data Mindfulness: Making the Most of your Dissertation (RDS009)
  • Introduction to Visualising Data in ArcGIS (RDS011)
  • Introduction to Visualising Data in QGIS (RDS012)

Full details of all these courses, with direct booking links, can be found on our training webpage https://www.ed.ac.uk/information-services/research-support/research-data-service/training

Courses can also be found and booked via the MyEd Events page.

We are always happy to deliver tailored versions of these courses suitable for a specific school, institute or discipline. Just contact us at data-support@ed.ac.uk to let us know what you need!

Kerry Miller
Research Data Support Officer
Library and University Collections

Share

RDM Training for Undergraduate Students

Link

RDM Training for Undergraduate Students

The Research Data Service at the University of Edinburgh provides research data support and training for staff and postgraduate students. Yet, over the last year through an Innovation Grant  – we have decided to branch out and produce training materials to support our undergraduate students as well.

thumbnail

The result is a new handbook called ‘Data Mindfulness: Making the most of your dissertation’, along with a set of face-to-face workshops that we have delivered during the spring semester and will be delivering again this autumn. The idea behind this handbook and the workshops is to take UG students through all the stages of their dissertation journey: from choosing their question to dealing with literature and data to preserving their data after submission.

Unlike existing material for postgraduates and researchers, this handbook has been written by one of our PhD interns from the perspective of a student; and it places data management tips within the broader experience of conducting a UG dissertation. We believe this student perspective is what makes this handbook unique and particularly innovative.

Download Data Mindfulness-Making the Most of your Dissertation handbook for your own use or to customise for your own UG students.

Candela Sanchez-Rodilla Espeso
UG Research Data Management Skills Co-ordinator

Share