As of: 5 September 2026 · Reading time: 4 min
Key takeaways
- The digital landscape in education and research is characterized by a fundamental change.
- Higher education institutions, universities and research institutions act today at the top of the digital transformation, with IT systems the backbone of...
The digital landscape in education and research is characterized by a fundamental change. Higher education institutions, universities and research institutions act today at the top of the digital transformation, with IT systems the backbone of...
“In fifteen years we have not seen a project that could not be rescued—the question is whether the effort pays off.”
– Björn Groenewold, Managing Director, Groenewold IT Solutions
Software Rescue for Education & Research: How to Preserve valuable data and projects from failure
Author: Björn Groenewold | Published: 6 January 2026
"In fifteen years we have not seen a project that could not be rescued — the question is whether the effort pays off." — Björn Groenewold, Managing Director, Groenewold IT Solutions
Why IT Failures in Education and Research Have Long-Term Consequences
The digital landscape in education and research is characterized by a core change.
Leaders exploring Software Rescue for Education & Research. How to Preserve valuable… can use Data Analytics & Business Intelligence, [Cost Calculator.
AI Development](/en/costs/artificial-intelligence), Discover solutions sowie AI & Machine Learning as structured entry points.
IT infrastructure in educational and research institutions is fundamentally different from private sector environments. A failure does not just disrupt one day of work.
It can destroy years of research data or make a decades-long longitudinal study inaccessible. Four characteristics define IT in this sector:
- Long-term continuity: Research projects span years or decades. Systems must remain stable over extended periods.
- Large, sensitive datasets: Research databases are large and subject to GDPR and institutional compliance duties.
- Heterogeneous systems: Self-built specialist applications coexist with standard software. Each has its own maintenance needs.
- Budget constraints: IT maintenance budgets in public institutions are limited. Personnel capacity is often insufficient.
Digital Transformation: Opportunity and Risk
Short: E-learning platforms, digital research data management.
E-learning platforms, digital research data management. And simulation environments have transformed how knowledge is created and shared. Universities and research institutes now depend on these systems entirely.
This dependency creates vulnerability.
A system failure does not mean inconvenience — it means paralysis.
Three Specific IT Challenges in Education and Research
Challenge 1: Aging Specialist Applications
Short: Many research systems were built years ago for a specific project or method.
Many research systems were built years ago for a specific project or method. They run on outdated frameworks and are often maintained by a single person.
When that person leaves, the system becomes unmaintainable. The research data trapped inside may become inaccessible.
Challenge 2: Data Extraction from Failing Systems
Short: Research datasets accumulated over years cannot simply be abandoned.
Research datasets accumulated over years cannot simply be abandoned. When the system running them fails, the data must be extracted before recovery is impossible.
Software rescue includes structured data extraction and migration to stable, recorded formats.
Challenge 3: Interface Modernisation
Research systems must more often connect to external platforms — data repositories, collaborative tools, publication databases. Legacy systems cannot make these connections without modern APIs.
Software rescue creates these interfaces without replacing the core system.
What Software Rescue Delivers for Universities and Research Institutes
A rescue programme for education and research covers four specific areas:
- Stabilisation: Critical systems are patched and monitored to prevent unexpected failure.
- Data extraction: Research datasets are extracted, recorded, and migrated to stable formats.
- Interface modernisation: APIs are created to connect legacy systems to modern research tools.
- Migration pathways: A phased replacement plan is defined, with no data loss and minimal disruption to ongoing projects.
Who This Is For
This service is relevant for:
- University IT departments managing legacy research databases.
- Research institutes with self-built specialist applications.
- School administrations running outdated student management systems.
- IT managers responsible for systems built by staff who have since left.
About the Author: Björn Groenewold (Dipl.-Inf.) is Managing Director of Groenewold IT Solutions GmbH.
Since 2012, he has supported over 250 projects — from legacy modernization to AI integration.
Frequently Asked Questions (FAQ)
What is this article about: “Software Rescue for Education & Research: How to Preserve valuable data and projects fr…”?
This post explores Software Rescue for Education & Research. How to Preserve valuable data and projects fr… from the perspective of needs, typical pitfalls. And sensible next steps.
The digital landscape in education and research is characterized by a core change.
Higher education institutions, universities and research institutions act today at the top of the digital transformation, with IT systems the backbone of...
Who benefits most from the content described here?
Useful for project leads and product owners in Software-Rettung who must choose between standard software, custom development, and integration.
How does this topic fit into an IT or digital strategy?
Technically and organizationally, alignment with skilled partners pays off — from needs to operations. Start with the services overview.
For multi-system landscapes, IT consulting and architecture helps align vendors and internal teams.
What are sensible next steps if we need support?
A practical next step: book a consultation and clarify which MVP or pilot fits your team and landscape.
References and further reading
The following separate references complement the topics in this article:
About the author

Managing Director of Groenewold IT Solutions GmbH and Hyperspace GmbH
Since 2009 Björn Groenewold has been developing software solutions for the mid-market. He is Managing Director of Groenewold IT Solutions GmbH (founded 2010) and Hyperspace GmbH. As founder of Groenewold IT Solutions he has successfully supported more than 250 projects – from legacy modernisation to AI integration.
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Software Rescue for Education & Research: How to Preserve valuable data and projects from failure addresses a practical choice for education and research teams. Start with one clear goal: choose an app approach that stays secure, testable, and useful after launch.
Check the current process, the data involved, and the result users need. Then record the main risks and define a small first step. This keeps the decision easy to review and gives your team a shared basis.
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