Data Mindfulness training integrated in new resources

The Research Data Service is pleased to announce an update to our ‘Data Mindfulness: Making the Most of Your Dissertation Data’ training materials.

Originally developed to provide face to face research data management (RDM) training for undergraduate students undertaking a dissertation project, the newly revised course is now available as one of ten units within the Library’s new LibSmart II training course.

‘Data Mindfulness: Your Dissertation Data‘ combines videos, reading material, and short interactive exercises to help students think about data management issues as they prepare to undertake a research project, potentially for the first time.

The course is designed to follow the research journey from beginning to end, from developing a research question and conducting a literature search, through to generating and managing project data and files during the life of the project and beyond.

The ‘Data Mindfulness’ unit provides an approachable introduction to the subject of RDM, with up-to-date and relevant information and guidance for undergraduate and masters students. The updated content also includes expanded material on finding and accessing secondary data sources, as well as links to wider training and resources provided by the Library.

You can find more information about the new LibSmart II course, and how to enrol here: https://www.ed.ac.uk/information-services/help-consultancy/rm-and-consultancy/academic-support-librarians/libsmart.

In addition to LibSmart II, we are also pleased to be working in conjunction with the Research Training Centre, based in the School of Social and Political Science, to deliver an updated version of the ‘Data Mindfulness’ course as part of the Micro-Methods Workshop series. You can find details of the Micro-Methods Workshops series here: https://research-training-centre.sps.ed.ac.uk/micro-methods.

Finally, we have made the ‘Data Mindfulness’ training materials available for re-use under an open CC-BY license, and you can find links to the videos and download a PDF of the revised ‘Data Mindfulness’ course handbook from the Research Data Service site (a Word version of the handbook is available on request): https://www.ed.ac.uk/information-services/research-support/research-data-service/training.

We hope these ‘Data Mindfulness’ materials are useful and relevant and appreciate any comments or feedback that you may have at data-support@ed.ac.uk.

Bob Sanders
Research Data Support Assistant

New home for Edinburgh Research Data Blog!

Tempus fugit. This Data Blog, which has been going since 2013 is now moving to Edinburgh University Libraryblogs. This follows the 2018 organisational merger of the Data Library team at EDINA with Research Data Support in Library & University Collections.

We hope you will actively subscribe to the new blog at https://libraryblogs.is.ed.ac.uk/datablog/ now, by entering your email address in the right navigation panel so you don’t miss any future posts!

Meanwhile we will redirect the old URL and all the older posts to the new site so you won’t have to remember where to go to catch all the news about the Research Data Service and research data management at University of Edinburgh. Any cited posts or bookmarks will continue to resolve.

Otherwise it just remains to thank our former and future hosts – EDINA, and the Digital Library – for providing the platform.

Robin Rice
Data Librarian and Head of Research Data Support
Library and University Collections

Research Data Training: Semester Two, 2020/21

As we are still facing significant restrictions on movement and in-person events during the whole of semester 2 we have decided to continue offering our RDM (Research Data Management) training courses online only. Details of the upcoming courses are below.

For undergraduate and taught masters students we have a new course called Data Mindfulness: Making the most of your dissertation, which can be enroled on via Learn on MyEd. Alternatively the videos and workbook are available on our training page.

Our online, self-paced RDM training course, Research Data MANTRA, has also been undergoing a significant update, which will be the subject of a future blog post – it is openly accessible at https://mantra.edina.ac.uk.

Full details about each course are on our training webpage https://www.ed.ac.uk/information-services/research-support/research-data-service/training

Workshop Audience Date Time Booking Link
Writing A Data Management Plan for Your Research (RDS002) Research Staff 24th March 2021 09:30 – 11:30 https://www.events.ed.ac.uk/index.cfm?event=book&scheduleId=44117
Writing A Data Management Plan for Your Research (RDS002) All Staff & PGR’s 13th April 2021 10:00 – 12:00 https://www.events.ed.ac.uk/index.cfm?event=book&scheduleID=44862
Working with Personal and Sensitive Data (RDS003) Research Staff 15th April 2021 09:30 – 11:30 https://www.events.ed.ac.uk/index.cfm?event=book&scheduleId=44118
Realising the Benefits of Good Research Data Management (RDS001) All Staff & PGR’s 21 & 22 April 2021 13:30 – 15:00 Part 1 – https://www.events.ed.ac.uk/index.cfm?event=book&scheduleID=44856

Part 2 – ttps://www.events.ed.ac.uk/index.cfm?event=book&scheduleID=44861

Edinburgh DataVault: supporting users archiving their research data (RDS008) Support staff 22nd April 2021 10:30 – 12:00 https://www.events.ed.ac.uk/index.cfm?event=showEventDetails&scheduleId=44924
Working with Personal and Sensitive Data (RDS003) All Staff & PGR’s 26th April 2021 14:00 – 16:00 https://www.events.ed.ac.uk/index.cfm?event=book&scheduleID=44863
Realising the Benefits of Good Research Data Management (RDS001) Research Staff 04 & 05 May 2021 13:30 – 15:00 Contact IAD directly https://www.ed.ac.uk/institute-academic-development

The following courses will not run during semester 2, but we plan to relaunch them as soon possible. In the meantime if you need any support just get in touch with us via data-support@ed.ac.uk and we’ll be happy to help.

  • Data Cleaning with OpenRefine (RDS004)
  • Handling Data Using SPSS (RDS005)
  • Assessing Disclosure Risk in Quantitative Data (RDS006)
  • Assessing Data Quality in Quantitative Data (RDS007)
  • Introduction to Visualising Data in ArcGIS (RDS011)
  • Introduction to Visualising Data in QGIS (RDS012)

A final note, the Research Data Management and Sharing MOOC which we launched with the University of North Carolina in 2016 has enjoyed its most successful period during the pandemic, with people wanting to reskill for the digital world. Over 2,700 learners have successfully completed the 5 week course and passed assessments, with over 25,000 people engaging with the highly rated course since the beginning.

Kerry Miller
Research Data Support Officer
Library and University Collections

DataVault – larger deposits and new review process notifications

New deposit size limit: 10TB

Great news for DataVault users: you can now deposit up to a whopping ten terabytes in a single deposit in the Edinburgh DataVault! That’s five times greater than the previous deposit limit, saving you time that might have been wasted splitting your data artificially and making multiple deposits.

It’s still a good idea to divide up your data into deposits that correspond well to whatever subsets of the dataset you and your colleagues are likely to want to retrieve at any one time. That’s because you can only retrieve a single deposit in its entirety; you cannot select individual files in the deposit to retrieve. Smaller deposits are quicker to retrieve. And remember you’ll need enough space for the retrieved data to arrive in.

We’ve made some performance improvements thanks to our brilliant technical team, so depositing now goes significantly faster. Nonetheless, please bear in mind that any deposit of multiple terabytes will probably take several days to complete (depending on how many deposits are queueing and some characteristics of the fileset), because the DataVault needs time to encrypt the data and store it on the tape archives and into the cloud. Remember not to delete your original copy from your working area on DataStore until you receive our email confirming that the deposit has completed!

And you can archive as many deposits as you like into a vault, as long as you have the resources to pay the bill when we send you the eIT!

A reminder on how to structure your data:
https://www.ed.ac.uk/information-services/research-support/research-data-service/after/datavault/prepare-datavault/structure

 Ensuring good stewardship of your data through the review process

Another great feature that’s now up and running is the review process notification system, and the accompanying dashboard which allows the curators to implement decisions about retaining or deleting data.

Vault owners should receive an email when the chosen review date is six months away, seeking your involvement in the review process. The email will provide you with the information you need about when the funder’s minimum retention period (if there is one) expires, and how to access the vault. Don’t worry if you think you might have moved on by then; the system is designed to allow the University to implement good stewardship of all the data vaults, even when the Principal Investigator (PI) is no longer contactable. Our curators use a review dashboard to see all vaults whose review dates are approaching, and who the Nominated Data Managers (NDMs) are. In the absence of the Owner, the system notifies the NDMs instead. We will consult with the NDMs or the School about the vault, to ensure all deposits that should be deleted are deleted in good time, and all deposits that should be kept longer are kept safe and sound and still accessible to all authorised users.

DataVault Review Process:
https://www.ed.ac.uk/information-services/research-support/research-data-service/after/datavault/review-process 

The new max. deposit size of 10 TB is equivalent to over five million images of around 2 MB each – that’s one selfie for every person in Scotland. Image: A selfie on the cliffs at Bell Hill, St Abbs
cc-by-sa/2.0 – © Walter Baxter – geograph.org.uk/p/5967905

Pauline Ward
Research Data Support Assistant
Library & University Collections