About Pauline Ward

Research Data Support Assistant Library and University Collections University of Edinburgh

New feature: Sharing DataVault data with an external user

By popular demand, the Research Data Service is pleased to announce the arrival of a brand new feature: the DataVault Outward Staging Area (DOSA), a free-of-charge benefit to DataVault depositors.

Engraving depicting a stagecoach with people in front of a building

What is a staging area? Somewhere your data can be held temporarily, on the way to somewhere else. Just like a traditional staging post for stagecoaches, as shown in this engraving.

Imagine: your multi-terabyte dataset is safe-and-sound in your vault, you’ve cited it in a paper you’ve just published, and an external researcher has asked you for a copy. What will you do?

Simple: send a request to IS Helpline (or data-support@ed.ac.uk) asking us to create a DOSA folder for your data.

We’ll then use DOSA to give temporary (two months) external access to a copy of your deposit, using a Globus FTP endpoint. We’ll retrieve a copy of your data to the folder. And we’ll provide you with the Globus endpoint, which you send to the researcher. They may need to install some software to get the data. Alternatively, for datasets under 500 GB, we suggest a DataSync link will be more suitable. We set that up and provide it to you in the same way as the Globus endpoint. The difference for the end user is they can use the DataSync link (+ password) from their browser. Let us know if you have a preference for a Globus endpoint or a DataSync link (otherwise we’ll decide automatically based on the size).

 

Workflow diagram showing data moving from DataVault into DOSA, and from DOSA out to DataSync or globus

Workflow: We retrieve your deposit to your DOSA folder. We provide you with either a Globus endpoint or a DataSync link, to provide to your external person who made the request.

The DOSA is part of our networked active data storage, DataStore, but separate from the other staging area we provide for users making a new deposit (‘the DataVault staging area’), for the inward route.

Since 2016 researchers have been archiving data in Edinburgh DataVault. The DOSA is available for any DataVault deposit, old or new.

DataVault Outward Staging Area (DOSA): Sharing data with an external user

Not sure you’ll remember the name of the service? Worry not! I have a mnemonic device for you: just remember that a ‘dosa’ is an Indian savoury pancake. What’s not to like?

Photo of a folded dosa pancake on a tray with dishes of savoury sauces.

Pauline Ward
Data Repository Operations Officer
University of Edinburgh

DataShare awarded CoreTrustSeal trustworthy repository status

CoreTrustSeal has recognised Edinburgh DataShare as a trustworthy repository.

What does this mean for our depositors? It means you can rest assured that we look after your data very carefully, in line with stringent internationally-recognised standards. We have significant resources in place to ensure your dataset remains available to the academic community and the general public at all times. We also have digital preservation expertise and well-planned processes in place, to protect your data from long-term threats. The integrity and reusability of your data are a priority for the Research Data Service.

Book to attend our practical “Archiving your Research Data” course

The certification involves an in-depth evaluation of the resilience of the repository, looking at procedures, infrastructure, staffing, discoverability, digital preservation, metadata standards and disaster recovery. This rigorous process took the team over a year to complete, and prompted a good deal of reflection on the robustness of our repository. We compiled responses to sixteen requirements, a task which I co-ordinated. The finished application contained over ten thousand words, and included important contributions from colleagues in the Digital Library team and from the university Digital Archivist Sara Thomson.

Our CoreTrustSeal application in full   

The CTS is a prestigious accreditation, held by many national organisations such as the National Library of Scotland, the UK’s Centre for Environmental Data Analysis and UniProt. Ours is the first institutional research data repository in the UK to receive the CoreTrustSeal (the Cambridge Crystallographic Data Centre has the CTS but, in contrast to DataShare, is a disciplinary repository which archives data from the international research community).

DataShare is a trustworthy repository, where you as a researcher (staff or student) at the University of Edinburgh can archive your research data free of charge. Bring us your dataset – up to 100 GB(!) – and we will look after it well, to maximise its discoverability and its potential for reuse, both in the immediate term and long beyond the lifetime of your research project.

Edinburgh DataShare

All CTS certified repositories

circular logo bearing a tick mark and the words 'Core Trust Seal'

The Research Data Support team has earned the right to display this CTS logo on the DataShare homepage

Pauline Ward
Research Data Support Assistant
Library & University Collections

Quicker, easier interface for DataVault

We are delighted to report that Edinburgh DataVault now has a quicker and easier process for users. The team have been working hard to overhaul the form for creating a new ‘vault’ to improve the user experience. The changes allow us to gather all the information we need from the user directly through a DataVault web page. The users no longer need to first login to Pure and create a separate dataset record there. Instead, that bit will be automated for them.

I have explained the new process and walked users through the new form in a new and updated how-to video, now combining the getting started information with the demo of how to create a vault:

Get started and create your vault! (8 mins)

The new streamlined process for users is represented and compared to our open research data repository DataShare in this workflow diagram. DataVault is designed for restricted access, but can also handle far larger datasets than DataShare.

The diagram shows the steps users go through in DataShare and DataVault. Common steps are deposit and approval.

The DataVault process includes the gathering of funding information, and review and deletion none of which are present in the DataShare workflow since they would not be relevant to that open research data repository.

The arrow showing DataVault metadata going to the internet represents the copying of selected metadata fields into Pure, where they are accessible as dataset records in the university’s Edinburgh Research Explorer online portal.

Our new course “Archiving Your Research Data”, featuring Sara Thomson, Digital Archivist, provides an introduction to digital preservation for researchers, combined with practical support on how to put digital preservation into practice using the support and systems available here at University of Edinburgh such as the DataVault. For future dates and registration information please see our Workshops page.

A recording of an earlier workshop (before the new interface was released) is also available: Archiving Your Research Data Part 1: Long-term Preservation.

If you are a University of Edinburgh principal investigator, academic, or support professional interested in using the Edinburgh DataVault, please get in touch by emailing data-support@ed.ac.uk.

Pauline Ward
Research Data Support Assistant
Library and University Collections
University of Edinburgh

New feature in Edinburgh DataShare: the REST API

Ever wanted to get a table of the details of all the datasets on DataShare to do with Scottish history? Or matching some other criteria, possibly on specified fields? If so, the new API (Application Programming Interface) can help.

DataShare now has a REST API, which you can use to query our metadata. An API makes the database’s contents accessible for requests from external servers, through a command-line, which allows external users to script such requests. The DSpace API also provides its own web-based query client and report client. These pages allow users to use a graphical interface to quickly build a query and see the results in a table, all in the browser.

The DataShare REST API page starts with a link to our plain-English explanation of how the API can be used:

Edinburgh DataShare DSpace REST API 

We would like to hear from anyone who wants to use the API. Please try it out and let us know what you find useful! Email us at data-support@ed.ac.uk .

Examples using the graphical query builder

I wanted to find datasets where I could add a link to the associated publication. This is a bit of a challenge for us, since users typically deposit their data with us under embargo before the associated paper has been published, and we do not have an automatic way to detect when or whether an associated publication has appeared.  I used the query builder to find the IsReferencedBy value for deposits accessioned in 2017. The plain-English guide on the wiki provides the steps I went through to do so:

How to use the DataShare REST API 

This feature may be of use to colleagues who support organisational units at University of Edinburgh which don’t align precisely with the Collections structure of DataShare – the API lets you query on multiple collections through the reporting tool. We’d love for colleagues to contact us if their teams have published a new paper containing a data citation of their DataShare deposit, so we can add the details of the publication to the DataShare Item’s metadata, resulting in a hyperlink appearing on the dataset landing page.

I wanted to find datasets with an embargo date in December. This is a challenge for us because users often set their embargo expiry date to Hogmanay, which means their one-week reminder would arrive on Christmas Day right in the middle of the university’s winter break. But many other fields contain dates with December in them, so it has not been practical for me to search for this using the graphical interface. So I used the API to search specifically in the dc.date.embargo field. See the screenshot below. The API helped me find the datasets whose embargo date we needed to extend, or else lift the embargo outright, allowing us to contact the depositors in good time to ask them whether a paper had been published or more time was needed.

Screenshot of the output of the REST API

Results showing datasets with an embargo date in December 2021

Thirdly, to demonstrate the power of this tool relative to the non-specific Search I chose a topic with very common words to show how to use the query builder to focus in on results avoiding spurious matches.

Using the existing ‘Search’ function on the homepage I searched for ‘history Scotland’. This produced 39 matches, some of which have nothing to do with historical research or Scotland, but merely mention a funder “NHS Research Scotland”, and mention the history of the research field in passing to provide a little context. Most of the matches are interesting, but some are not relevant.

Whereas when I set the API query builder to search for ‘history’ in the research area (subject classification), and ‘Scotland’ in the field for geographical metadata ie dc.coverage.spatial. This provided me with a short list of high quality matches, three datasets of historical research to do with Scotland – see the screenshot. This is a useful tool for narrowing a search.

Screenshot showing the input, and the output on the API query builder webpage

A search for two very common words in specific fields produces high quality results

Enabling the API

The REST API is a feature of the underlying DSpace repository software. Our sysadmins configured the API with great care to block certain commands and enable only the ‘GET’ commands that are needed for appropriate queries using DSpace config settings (further info DSpace 6 Documentation on the Lyrasis wiki ).

The Future

In the international DSpace repository community, we’re aware the API is used for integration with at least one CRIS (Current Research Information System) and quality tool applications (Andrea Bollini, 4Science, private communication). We understand the API of the newer DSpace 7 contains significant changes compared to that of DSpace 6, which we’re using for Edinburgh DataShare.

We’re aware of only a few examples of the API being used by individuals for occasional metadata queries. But we will watch with interest to see how the DSpace 7 API will be used.

 

Pauline Ward
Research Data Support Assistant
Library and University Collections
University of Edinburgh