Bio-IT & software
Data Engineering & FAIR Data Management
We build the data pipelines and metadata practices that turn scattered spreadsheets and instrument files into well-described, reusable data, and we prepare datasets for public archive submission.
Who it is for
- Biotech companies consolidating research data
- Research institutes meeting funder data-sharing requirements
- Core facilities standardising sample metadata
What you send us
- Data sourcesInstrument exports, sequencing outputs, spreadsheets and databases.
- RequirementsWho uses the data, sharing obligations and standards you must follow.
What you receive
- Data pipelines and validation rules
- Metadata model and templates
- Submitted datasets or catalogue entries
- Documentation and training
Methodology
How the work runs
Each step is agreed with you and documented. Typical tools: Python · DuckDB · Parquet · Prefect · Ontology Lookup Service · ENA and GEO submission tools
- Data auditInventory, quality and metadata gaps, with a FAIR assessment.
- Model and standardsMetadata model, controlled vocabularies and identifiers.
- PipelinesIngestion, validation and storage with documentation.
- PublicationArchive submission or internal catalogue, and training for data stewards.
Quality controls
Checks applied to every project
- Validation rules with rejection reports
- Metadata completeness metrics
- FAIR assessment before and after
Scope and limits
What the work can and cannot show
- Personal health data are handled only under a signed data-processing agreement.
Free quote
Start a Data project.
Describe your data and questions. We reply with questions or a written quote.
It depends on the data type, the number of samples and the depth of interpretation you need. Every project receives a written quote with scope, deliverables, price and delivery date after a short exchange about your data and questions. The quote is free and carries no obligation.
Data are used only for your project, transferred through a channel you approve and deleted at the end of the engagement on request. We will sign your institution’s confidentiality agreement before any data are shared.
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