Category: Workshop

A few days ago, Center for Humanities Computing at Aarhus Universitet had the pleasure of inviting Interactive HPC Consortium colleagues from CLAAUDIA, Aalborg Universitet and the SDU eScience Center to a workshop day at the wonderful Moesgaard Museum.

“We have these collaborative workshops every six months to stay informed and improve the Interactive HPC service, but also to stay connected with what we consider to be close colleagues from the other two universities.
Meeting up in person adds an essential layer to this cross-university collaboration, positively impacting the operation and development of the DeiC Interactive HPC facility. Through these gatherings, innovations are cultivated collectively among partners, each contributing their unique perspective. Given the consistently productive outcomes of these workshops resulting in several working groups that tackle delegated tasks in the coming months, we are considering expanding to a two-day workshop next time to facilitate more in-depth discussions and collaboration,” says Kristoffer Nielbo, Director of Center for Humanities Computing.

This recent workshop hosted no fewer than 25 people who convened to discuss the general status, infrastructure, education, and branding of DeiC Interactive HPC. The day concluded perfectly with a visit to the exhibitions at Moesgaard Museum and its grounds. Everyone looks forward to the next Interactive HPC workshop hosted by CLAAUDIA in wonderful Aalborg.

By the end of 2021, students and staff interested in digital methods, data wrangling, text and data mining from Aarhus University and University of Copenhagen were once again invited to join the annually recurring datasprint organised by The University Libraries at The Royal Danish Library (Det Kgl. Bibliotek).

With the purpose of developing competencies within the field of digital humanities, the datasprint focused on the importance of open political data and the potential of text and data mining in this context.

Large historical data sets were made available to the participants as raw material to explore using the cloud based Interactive High Performance Computing service, UCloud, developed for Danish Universities. A hybrid group of staff from Center for Humanities Computing Aarhus (CHCAA) and students from Information Science, Aarhus University participated in the datasprint in Aarhus (November 18th and 19th) and gained experience with applying UCloud in their work with large datasets.

Benefits of UCloud

High Performance Computing systems (HPC), colloquially referred to as ‘super computers’, are characterised by their immense amount of computing power that far surpasses the abilities of regular desktop computers.

With the cloud based service UCloud, though, complex HPC systems are made accessible for researchers and students even when working with large datasets on laptops.

According to the participants from CHCAA, Aarhus University one main advantage of working with UCloud at the datasprint was the efficiency gained from the use of UCloud as it inflicts more computer power and works faster than similar systems. The ability to process large amounts of data in a relatively short amount of time is also described as a significant feature of UCloud next to its intuitive interface and easy error recovery.

The value of UCloud in the datasprint

UCloud formed an important tool at the datasprint in Aarhus as the topic of the datasprint involved a considerable amount of data, that is the complete collection of Folketinget’s proceedings from 1953 to 2021.

A notable challenge working with the large dataset from the Danish parliament was that only contemporary data from the 2000’s onwards had already been categorised into subjects, a challenge that the participants from our hybrid group sought to solve in order to favour the conditions for analysing the dataset.

By creating a new classifier for the old datasets lacking categories of subjects, the dataset will thus become more accessible and available for further analyses: We’re working with only 20 subjects, so it is very generic …like economy, labour, foreign affairs.

– Jan Kostkan, Center for Humanities Computing, Aarhus University

A broader comprehension of the dataset from Folketinget can thus be gained, and the group found a way to categorise the proceedings making them available for further analyses by experts with subject-matter knowledge, for example historians.

Evaluating the datasprint

UCloud thus served a valuable tool at the datasprint in Aarhus this November. All four participants unanimously agree that UCloud contains significant advantages when it comes to working with large datasets as in the datasprint, mainly because UCloud has more computer power and works faster than other systems.

One specific quality of UCloud that is emphasised by the participants is its ability to support the collaborative working process as the system makes it easy to work with others, even on a distance. Apart from minor issues in the user interface, UCloud is generally commended for its usability, even for beginners, and both students and staff from the group stress the potential of including UCloud in teaching.

Read more about the Data(Tinget) datasprint

For the majority of researchers and students of the humanities, digital methods are far from standard procedure, and this is exactly what initiatives such as the datasprints organised and financed by The Royal Danish Library hope to change.

The value of digital methods in the humanities is gradually becoming clearer across disciplines. However, as programming and coding seems far from the traditional methods of the humanities, work still has to be done to fully integrate digital approaches in both research and teaching across the humanities.

Making use of digital methods opens new opportunities for working with large amounts of data and identifying connections across material – something that would simply be impossible without the integration of digital methods into the humanities.

The vision behind data(Tinget)

At the end of 2021, two datasprints focusing on the value of open political data and digital competencies were organised in Aarhus (November 18th-19th) and Copenhagen (December 2nd and 3rd). Due to a close collaboration between DeiC Facility for Interactive HPC and The Royal Danish Library, the cloud-based HPC (High Performance Computing) service UCloud developed for Danish Universities presented itself as a pertinent topic for the 2021-datasprints. More specifically, the participants were asked to explore parliamentary proceedings from the Danish Parliament (Folketinget) from 1953 to 2021 by use of UCloud at the datasprints.

The purpose of the datasprints were thus twofold: creating awareness of the value of open political data, and finally developing the digital competencies of the students and staff participating from Aarhus University and University of Copenhagen. UCloud played a significant part in the latter – as the datasprints involved considerable amounts of data -despite initial concerns for the organisers:

What worried us the most during the preparations was how difficult it would be to get the participants connected to UCloud. And if they would be able to use it at all. It went completely pain-free though; a few emails and fairly simple clicks on UCloud (full disclosure – it wasn’t me who had to click, so of course it was simple to me). And then it was up and running. Only real challenge was a semi bad internet connection on the first day in Copenhagen. And when they [the participants, red.] got access – all problems were gone, and everything went smooth!

– Christian B. Knudsen, The Royal Danish Library

UCloud as a key figure

As soon as the participants were confidential with UCloud, some of the benefits of working with the HPC service were made clear for participants as well as organisers. Per Møldrup-Dalum, one of the organisers of the datasprint (currently working as data manager for Center for Humanities Computing Aarhus/CHCAA) specifically emphasises UCloud as a pivotal tool at the datasprints:

Imagine the hassle when students, researchers, journalists, etc. show up with an equal number of different laptop computers. Some are old, others new, some running Windows, others Macs or Linux. Some attendees have no problem discerning between different Python versions, while others have never heard of Python or R or installing arbitrary software on their computer. Now, all these people need to have the same version of e.g. RStudio, R, Python and software to work with computer code. To get that to work could require a complete datasprint in itself.

– Per Møldrup-Dalum, The Royal Danish Library/CHCAA

All of these technical obstacles, however, were completely erased thanks to UCloud:

Now, enter UCloud. There we control everything and can ensure that it all just works — from the get-go! On top of that, we don’t have to worry that much about data size or computational resources. It’s all win-win.

– Per Møldrup-Dalum, The Royal Danish Library/CHCAA

As these evaluations show, UCloud holds major potential, not only in the context of these specific datasprints, but for developing digital skills across the humanities on a broader scale; the cloud-based HPC service, UCloud, simplifies the working process and makes collaborative work much more manageable. Hopefully, events such as the datasprints organised by The Royal Danish Library will have a sustained impact on researchers as well as students whose interest in digital methods and UCloud specifically can further the development and integration of digital methods across the humanities in the future.

Read more about the Data(Tinget) datasprint in Aarhus and the use of UCloud from the participants’ point of view.