The DataVault now contains over one hundred datasets, with a combined size of over one hundred terabytes. These are the stories of a handful of our happy customers, talking about the benefits of using the DataVault…
1. Low-cost long term storage delivers flexibility
Emily Clark (PI) and Mazdak Salavati (Core Scientist)
Emily and Mazdak heard about the DataVault at an event at the Roslin Institute organised by Colin Simpson, local project officer, and expert user of the DataVault. They needed to archive a large amount of genomics data – more than three terabytes. They wanted to save money and liberate their active storage for other data by moving the files from DataStore to DataVault. As DataVault is much cheaper than DataStore (once you’ve used up your initial free DataStore quota). We also held an initial meeting with Colin to answer their questions about how they would be billed (via an eIT), who would be able to deposit and retrieve data and how. Emily wanted flexibility around the billing, and the control to restrict access. We discussed the usefulness of splitting the data into separate deposits, to enable subsets of the data to be exported back to DataStore. As you can see from the public metadata, link below, the information has been worded in such a way as to manage the expectations of the reader appropriately. Mazdak created the vault, gave Emily access, and then deposited the data as a series of separate deposits, over a few days. We then issued the eIT for payment.
“Engaging early and reading the documentation was key for the use of DataVault. Having a research data management (RDM) plan from the beginning of your project helps with almost every aspect of dissemination of it i.e. publication, grant reports, collaborators and stakeholders etc. Understanding the types of storage and their cost makes this planning much easier for both the PIs and the data processors involved. Moreover, curating the metadata associated with biological datasets is much easier once the RDM plan is based on a streamlined platform such as DataVault. The clever use of low-cost long term storage solutions can free up lots of flexibility both in consumables and computational resources if considered from the start of every project. The DataVault is maintained and supported by very dedicated folks at the University who would their best to help and accommodate research needs. Talk to them in the earliest point possible to discuss your RDM plan and take advantage of their support.”
You can see the public details of the data by clicking on the DOI:
- Clark, E; Salavati, M “Ruminant Functional Genomics” (2020) Edinburgh DataVault. https://doi.org/10.7488/4b6ccd1f-63f9-4cc6-865e-4616dfe8a256
2. A safe place for personal data
Professor Sue Fletcher-Watson
Sue had a set of video footage gathered as part of her work with children with autism, specifically the Click-East clinical trial. The audio-visual files, a little over a terabyte, were stored on an external hard drive, so she wanted to have them safely backed up, but did not have sufficient spare storage in her DataStore area. Sue had learned about the Edinburgh DataVault when chatting with a member of our team at an IAD event, so she knew DataVault would be an appropriate home for this sensitive data to be stored for the ten year period to which the participants’ parents had consented; the DataVault encrypts the data and stores three copies, and is cheaper than buying additional DataStore storage. Information Services provided Sue with a temporary ‘staging area’ on DataStore free of charge to accommodate the transfer of the data from the external hard drive, first onto the DataStore staging area and then into the vault she created, after first creating a Pure record which we validated. The Research Data Support team now has a similar dedicated staging area on DataStore which we can make available to those users who need the space temporarily for a DataVault deposit or retrieval. Of course, datasets should be split into deposits of an appropriate size so that the retrieval need not occupy too much space on DataStore. Sue successfully deposited the data. And later was able to use the staging area again to retrieve the data.
“The support I got from the DataVault team was exemplary and really helped me with this first deposit. I now have complete confidence that these valuable data are safe and secure. I’ll certainly be using DataVault again”
3. Facilitating restricted sharing and citation of clinical data
An anonymous Edinburgh researcher
One research team contacted us about getting a DOI (Digital Object Identifier) for their pseudonymised clinical data, so they could cite the data in their manuscript, and so they could share the data on a restricted basis with their reviewers. We advised that while the reviewers would not be able to access the DataVault directly, the researchers could use DataSync to share an encrypted copy of the data with them, while protecting the anonymity of the reviewers, by sending the link for DataSync to the journal, for forwarding on to the editors. We helped the researchers describe their data in Pure. The researchers archived the data into DataVault. We minted a DOI on the Pure record, which the researchers then added into their manuscript and is now included in the finished publication. Of course, clicking on the DOI link does not give users direct access to the data – it merely takes them to the metadata, the description, on Pure’s public portal, the Edinburgh Research Explorer, where they can find the information they need to make a request for the data. Thus the research team still has the control, so that they can decline a request, or they can require such external researchers to sign a Data Sharing Agreement, undertaking not to attempt to re-identify any participants nor to share the data further with others.
A note on Data Protection
It is important to keep in mind that Principal Investigators are responsible for understanding and complying with data protection law and their own funders’ and collaborative partners’ requirements. The DataVault should be used as part of good practice in research data management throughout the research data lifecycle. We strongly encourage researchers to make a Data Management Plan for every project; the Research Data Support team is happy to review your Data Management Plan, provide feedback, advise whether the DataVault would be a suitable solution, and help include the associated costs in your research bid.
Research Data Support Assistant
Library and University Collections