DataShare Spotlight: A photographic record of a divided Berlin in the 1980’s

Some of the most widely used datasets in DataShare are the collections of photographs of tower blocks and mass housing, both in the UK and internationally, created by Miles Glendinning, Professor of Architectural Conservation in the Edinburgh School of Architecture and Landscape Architecture (ESALA). Recently, Miles deposited a number of new datasets to the DOCOMOMO International Mass Housing Archive collection, including recent research data-gathering exercises in Belgium, China, Chile, Italy and Morocco. Further to this, are two archives of photos documenting Berlin in the 1980’s. Covering both East and West Berlin, these images provide striking visual representations of the buildings, transport infrastructure and general urban environment of the time, revealing a fascinating glimpse into the DDR (Deutsche Demokratische Republik), the BRD (Bundesrepublik Deutschland) and the enforced division between them.

To help shine a light on this special set of images, I asked Miles to answer three questions regarding the creation of this dataset.

Mitte - Friedrichstrasse. (Nord-Sud S-Bahn), Sept 1982

Mitte – Friedrichstrasse. (Nord-Sud S-Bahn), Sept 1982 Photo credit: Miles Glendinning https://doi.org/10.7488/ds/8062

1 – What drew you to Berlin during this period?

I was drawn to visit East and West Berlin in 1982 by a curiosity to see first-hand what the Wall was like in its ‘mature’ state, and to experience, however briefly, the contrasting ways of life in the two parts of the city – East Berlin a would-be capital city with an alien entity adjoining its city core, and West Berlin a somewhat peaceful, even backwater-like island city-state divorced from the mainstream hubbub of West German life: at that stage, in the pre-Gorbachev era, there was no suspicion that the Iron Curtain only had a few more years of life, and the situation all seemed irreversibly settled in a strange sort of stagnant air immobility.

What particularly interested me were the quirky anomalies thrown up by the makeshift character of the division-line, including strange ‘exclaves’ such as Steinstücken – a few houses accessible by its own bus route through a narrow extrusion in the Wall), and the strange status of the S-Bahn (the local suburban rail network), whose lines in West Berlin were run indirectly by the DDR authorities, and had fallen into seemingly terminal decay and dereliction following many years of boycotts by West Berliners.

Several S-Bahn stations also featured bizarre border anomalies, such as the ‘door in the Wall’ that gave access to Wollankstraße station, and the underground/overground West-Berlin interchange and border crossing in the centre of East Berlin at Friedrichstraße.

Other infrastructural monuments of division and decay included the enormous DDR customs checkpoints complex newly built just north of ‘Checkpoint Charlie’, and later demolished immediately in 1990, or the disused Olympic Stadium bequeathed by the Nazi regime.

Gesundbrunnen station in Sept 1982

Wedding – Bf Gesundbrunnen – Sept 1982 view A – Photo credit: Miles Glendinning https://doi.org/10.7488/ds/8063

2 – Your images are documented with metadata of where they were taken, but beyond that, does looking at any of the photos bring back any particular memories?

The strongest memory brought back by looking at the photos is the sense of ‘suspended animation’ that was pervasive throughout the city, with some bustle in the ‘Ku’damm’ and ‘Alex’, but significant areas of dereliction and disuse everywhere, especially near the border, plus stereotypical ‘communist greyness’ throughout East Berlin, and a general feeling of relative lack of population and urban energy in both halves of the city.

The images of quiet decay and dereliction seem to evoke feelings akin to the ‘deploratio urbis’, or lamentation for lost greatness, felt by Renaissance and Romantic visitors among the ruins of classical Rome: looking at a 1982 photo such as that of the spectacularly overgrown wasteland of Gesundbrunnen station, what one saw was a vista of apparently irreversible decay, with no hint of the spectacular reversal that lay only a decade ahead.

From a modernist heritage perspective, however, many of the structures built during the division today seem of growing historical interest, including West-Berlin’s outer modern social housing complexes such as the Märkisches Viertel, or the extensive ‘Plattenbau’ complexes ubiquitous throughout East Berlin (on which see also the more recent images in the Docomomo International Mass Housing Archive, https://datashare.ed.ac.uk/handle/10283/2927 ).

Kreuzberg - Friedrichstrasse, Checkpoint Charlie, Sept 1982

Kreuzberg – Friedrichstrasse, Checkpoint Charlie, Sept 1982 Photo credit: Miles Glendinning https://doi.org/10.7488/ds/8063

3 – How do you envisage the images in the dataset being used?

As always, it’s rather difficult to predict the very varied ways in which images such as these could be used, but I imagine that they could be useful for scholarly exploitation by historians of 20th-century Germany or of its post-war built environments, or as a more popular level, by enthusiasts for ‘Cold War heritage’ or ‘Ostalgie’?

Many thanks to Miles for taking the time to respond so insightfully to the questions.

The items containing the Berlin photos can be found at the following links:

Berlin (East)

Berlin (West)

The wider collections of tower blocks in the UK and mass housing internationally can be found at:

Tower Block UK

DOCOMOMO International Mass Housing Archive

Keith Munro,
Research Data Support Assistant

Two upcoming Edinburgh data-related conferences

As we all settle into the new year, it is good to start filling the calendar with events that provide new insight, provide opportunities to interact with peers, offer the chance to share knowledge and to have an experience set apart from everyday work. To help with this, it is worth taking note of a couple of conferences coming up this year, hosted here at the University of Edinburgh.

Digital Research Conference 2026

On February 26th, the 2026 Digital Research Conference will take place at the Edinburgh Futures Institute. It brings together University of Edinburgh researchers and professional staff engaged in digital, data-intensive, and computational research to promote best practices, inspire collaboration, and stimulate discussions across various research fields.

Infographic showing date and title of the conference.

Attendees experience a diverse programme featuring keynote talks, interactive panels, hands-on workshops, and breakout sessions covering emerging trends, digital research skills, and innovative methodologies.

Registration is free but tickets are available only to University of Edinburgh Staff and PGR students: Registration link.

Edinburgh Open Research Conference 2026

On June 18th, the Edinburgh Open Research Conference 2026 will take place at 50 George Square and the call for submissions is now open.

This year’s call is based on the ambitious “Recommendation on Open Science”, produced by UNESCO, it recognises the broad scope and impact of Open Research – not just on knowledge production, but also on the world at large. Value driven and built around the values of Quality and Integrity, Collective Benefit, Equity and Fairness, and Diversity and Inclusion, the model provides a foundation for a strategic and principled path forward. Over the past year Edinburgh Open Research (EOR) have revamped their action plan and internal model at the University of Edinburgh to reflect this ambitious and expansive scope.

Infographic detailing the components of the UNESCO Model of Open Science

Image: UNESCO Model of Open Science, © UNESCO, 2024,
CC BY-SA 3.0 IGO [14029] https://doi.org/10.54677/MNMH8546

EOR’s new action plan has become more diverse and expansive than ever before, and their strategies going forward will be built upon this new perspective, taking into account their local context. To celebrate this positive step forward, this year’s conference will therefore delve into the various values, principles, and actions highlighted by UNESCO’s model.

The organisers are keen to hear from speakers from a diverse range of backgrounds (academic, professional services, and students) and research disciplines. They especially welcome contributions from early career researchers, junior professional services staff, and technicians.

The deadline for submissions is end of day – Friday 13th February 2026.

Registration and submission are open to all, further details and link to submissions: Edinburgh Open Research Conference 2026.

Members of the Research Data Service will be at both of these events, we hope to see you there!

Keith Munro,
Research Data Support Assistant

AI, Openness & Future Publishing – Event summary

This is a guest blog post written by Veronica Cano, Open Data and REF Manager

The CAHSS Research Cultures team organised the half-day event “AI, Openness & Publishing Futures”, which took place at Edinburgh Futures Institute on the 13th November. Following our last half-day event earlier in 2025, “Open research issues and prospects in the Arts, Humanities and Social Science”, the focus shifted towards exploring the dynamic interplay between AI, open research, and the publishing industries. The event featured Dr. Ben WilliamsonDr. Lisa Otty and Dr. Andrea Kocsis, who each deliberated on how AI is reshaping research practices and publishing.

A digital collage merging an ornate historical painting of a pioneer scene with images of data and wires. The painting is partially glitched, with sections of digital circuitry and matrix-like grids overtaking the classical imagery. In the scene, pioneers on horseback and on foot appear to be embarking on a journey, but the technological distortion dominates the background, blending history with a sci-fi aesthetic.

Highlighting risks of new forms of colonisation in the digital realm, this image was shared by Dr Otty as part of her presentationHanna Barakat & Archival Images of AI + AIxDESIGN / https://betterimagesofai.org / https://creativecommons.org/licenses/by/4.0/

Critical Evaluation of Academic Content Commercialization

Dr. Ben Williamson shed light on the commercial motives of publishers and technology giants in harnessing AI for processing academic content. He drew on his recent work with Janja Komljenovic to argue that emerging publishing practices transform scholarly work into data assets, leveraging AI to maximise profits, often at the expense of academic integrity and control over research outputs. Referencing the work of Mirowski, he linked these developments to wider moves around commercialised platform science. Sharing his experiences as a journal editor, Ben highlighted instances where significant journal archives, like those from Taylor and Francis, were sold to AI companies, often without much transparency, underscoring a concerning trend toward the privatisation of academic knowledge and raising questions about the impact of this on open research and publishing.

Balancing Sustainability with Open Research Practices

Dr. Lisa Otty provided an analysis of sustainable AI use, noting the environmental impact associated with the growing computational demands of AI systems. She highlighted that while AI offers substantial benefits like efficiency in research and accessibility, it also comes with significant energy and carbon footprints. She suggested practical strategies such as using smaller, more efficient AI models and engaging in sustainable software engineering practices to mitigate the eco-impact of digital research tools. Making the most of the benefits of AI requires careful judgement about what is worth using ‘maximal computing’ for, and where more sustainable, possibly smaller-scale practices are appropriate and sufficient. More information about this is available on the Digital Humanities Climate Coalition web site: https://sas-dhrh.github.io/dhcc-toolkit/index.html.

Emphasising Open GLAM Data and AI Integration

Dr. Andrea Kocsis highlighted the longstanding engagement of AI within GLAM (Galleries, Libraries, Archives, Museums) sectors. Her presentation provided a historical timeline showing the evolution of AI technologies in these institutions, noting significant shifts towards more advanced machine learning and generative AI systems in recent years. Reflecting on the work being done at National Library of Scotland (NLS), including their advocacy for open data to foster research and innovation while ensuring ethical compliance and data stewardship, Andrea emphasized the necessity of responsible, open-data practices to mitigate risks such as bias and loss of metadata context which can accompany AI integration. Ongoing projects at NLS highlight both the promise of responsible AI in the GLAM sector and the creative possibilities unlocked by open data, exemplified by Andrea’s Digital Ghosts exhibition and its innovative use of web-archive material.

Community Response and Forward Thinking

The event moved on to a group discussion framed by extracts from blogs, reports and press articles on different issues regarding AI and publishing. The texts sparked thoughtful responses from the audience, generating insights on how the monetisation and privatisation of research is facilitated by AI and raising questions on what the open research community should do in the face of the risks posed by AI. Researchers’ pressure to publish frequently has become a playing ground for AI outcomes, resulting in unethical practices like papermills. The impacts are many, the erosion of public trust in research being a main one.

One of the attendees reflected afterwards: “… as it related to publishing, I got the impression that there was a sense of resignation, that it is too late, because the articles have already been sold and in many ways, we cannot opt out from AI (the google/bing summaries when you look something up, suggestions in Word, etc.) in our workplace, but also in our personal lives… Perhaps giving researchers advice on what individual action they can take, while showing what the sector is advocating for would be helpful.”

The role of higher education not only in grappling with current realities but in shaping future practices through individual and collective action was seen as extremely important, and conversations included how students can be engaged with these issues. Participants highlighted a need for ongoing dialogue and adaptive strategies as the landscapes of AI, open research, and publishing continue to evolve rapidly.