Research Platform and Academic Website Development — Common Questions
What features should a university research platform website have?
A research platform needs to do more than display papers — it needs to organise them in a way that researchers and policymakers can navigate efficiently. That means: a structured content repository with filtering by topic, geography, and publication type; a CMS the research team can operate without developer involvement; media management for videos and podcasts; and — if the research is data-heavy — tools to present that data visually. For DigitalXScale, the Wheeler Institute also needed the ability to generate infographics directly from their Excel data without design or development resources.
Why build a custom CMS instead of using WordPress for a university research website?
WordPress is a general-purpose CMS designed primarily for blogs and marketing sites. Academic research has a different content model — papers have authors, institutions, topics, geographies, publication types, and datasets attached to them. Forcing that into WordPress means fighting the system constantly. A custom CMS built on Node.js and PostgreSQL lets you model the content exactly as the institution's research is structured. The Wheeler Institute's team can manage their platform with a system built for how academic research actually works, not adapted from a blogging tool.
How do you turn Excel data into infographics on a website?
The DigitalXScale platform includes a tool we built specifically for this: a researcher uploads an Excel file to the CMS, selects the type of visualisation they want — bar chart, line chart, pie chart, map, and so on — and the platform parses the data and generates a publishable infographic. The entire process happens within the platform. No design software, no third-party tools, no developer involvement. For a research team working in Excel, it removes the gap between having data and publishing a visual that communicates it.
What tech stack is best for an academic data visualization platform?
For DigitalXScale we used Next.js for the frontend, Node.js for the backend, and PostgreSQL as the database. Next.js handles server-side rendering which is important for a research platform that needs to be crawlable and fast. Node.js gives us the flexibility to build custom features like the Excel parser and chart generator. PostgreSQL handles the complex relational data model — research papers with multiple authors, institutions, topics, and linked datasets. This stack gives you performance, flexibility, and the ability to build features that off-the-shelf platforms can't provide.
Can an Indian web agency build a platform for a UK university?
Yes — and it's increasingly common. Research institutions and universities in the UK and elsewhere work with offshore development teams regularly, particularly for custom platforms that require significant engineering work. For DigitalXScale, Craftnotion built the full platform — frontend, backend, custom CMS, and the Excel-to-infographic tool — for the Wheeler Institute at London Business School. The project required close collaboration on the content model and feature requirements, all handled remotely. What matters is the technical capability and the ability to understand the client's specific requirements — not geography.







































