Roadmap

This page summarizes the roadmaps per major app domain:

Catalogue

Mission: catalogue network to maximize use of samples and data (level 1-4)

Scope:

• biobankers / data set providers can easily enter data (by hand or automatically)
• researchers can query the data and go to request data

Stories:

• Merge ways to define meta data
• Data modelering overzetten van OMX naar EMX (Data api)
• Presentatie van data, zoals aggregaten, kunnen tonen als je hierarchische data
• custom layout
• Standaard method voor 'drill-down' in multi-dimensional data
• Standaard model, MIABIS uitbreidingen
• Handleiding
• Beheren van data
• Beheren van de meta-data
• Row-level security so biobankers can edit their own collections
• Multi-tenant (like linkedin?)
• Custom menu to customize
• Change styling css
• Implementatie team -> aansluit team met de UMCs
• Statistics of view, use, citations
• Audit trail
• Ontology data type + search (e.g. for dataType)
• Link to data request procedure

Aggregation:

• sql query generiek
• aggregator moet ook sums, counts, concats, kunnen doen
• groepering in data explorer (visueel samenvoegen van rijen, beinvloed sorteer)

Mutation databases

Mission: relate patients/phenotypes to mutations

Scope:

• patients (and their phenotypes)
• mutations (dominant/recessive)
• publications about above

Stories:

• for mutations see know/predicted pathogenicity
• for recessive mutations see known pairs of disease causing mutations
• for patients see phenotypes, mutations
• for each record show link to publication/source that has the evidence

Modules

• EMX upload format (we aim for a standard template)
• data explorer for patients + mutation (in case of recessive: 2 mutations) + phenotypes
• data explorer for mutations + related second mutation + concluded pathogenicity (in case of recessive mutation I need to browse by first and second mutation, see col7a1)
• genome browser with gene, domains, introns/exons, mutations
• pages for news, background, etc

N.B. this app would be greatly helped by 'nested' data elements to display patient <- mutations relationship