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Biodiversity data collection during the red crab migration on Christmas Island.

Category

Data Management Solutions

Data Management Solutions

Sunbird Images develops scientific data management solutions for research institutions, museums, universities, and environmental organisations. Many scientific disciplines work with large and complex data sets that require reliable structuring, digitalisation, and efficient evaluation. Therefore, our solutions are tailored to the specific research context and workflow requirements of each project.

Customised Databases and Web-Based Access

Depending on the project goals, we design and set up secure databases with intuitive web interfaces. This allows research teams to collaborate seamlessly, access data from multiple locations, and ensure that valuable datasets remain consistent and traceable over time.

AI-Assisted Data Evaluation

For projects that involve image-based or pattern recognition tasks, we integrate artificial intelligence to accelerate manual analysis. For example, our team has developed an app-supported AI tool to distinguish parasite-infected cells from non-infected cells under a microscope. This significantly reduces the time required for routine evaluation while improving accuracy and reproducibility.

Interdisciplinary Expertise

Our core team combines AI specialists, experienced mobile and web developers, and trained biologists. This interdisciplinary approach enables us to understand both the scientific questions and the technical requirements involved in building scalable data workflows.

Project Consultation

We would be happy to discuss your data management challenges and explore possible solution pathways. Upon request, our team can visit your institution to analyse the existing workflows and define the next steps together — free of charge.

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Structured Digital Databases

Well-organised digital data improves the clarity and traceability of research results. Additionally, by centralising data and removing redundancies, teams can work more efficiently, avoid inconsistencies, and reduce storage requirements. A clean data structure is essential for long-term research continuity and collaborative work across institutions — a core benefit of our scientific data management solutions.

AI-Assisted Detection of Plasmodium-Infected Erythrocytes

Storing the results digitally from Sunbird created AI model predictions such as this, allow us to easily manage count statistics, create visual representations from the received data, and learn where improvements can be made in the further implementations when analysing the data.

Digitalisation of Scientific Bird Skin Collections

Digitalising physical specimen collections enables improved management, accessibility, and preservation of valuable scientific resources. As a result, collections can be accessed remotely, shared for research and teaching purposes, and integrated into web or mobile applications — forming a key component of modern research data digitalisation.

Custom Database Input Forms

A custom input mask will give your team direct access to the database without needing any experience in Computer Sciences. Simply create the fields which are necessary for your dataset, and a custom form will be prepared for your team.

Project Consultation

We would be happy to discuss your data management challenges and explore possible solution pathways. Upon request, our team can visit your institution to analyse existing workflows and define next steps together — free of charge. Our scientific data management solutions evolve collaboratively to fit your research needs.

For related services, see our wildlife monitoring solutions and our AI-based species identification. For project enquiries, please contact our team.

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