= Roadmap

This page summarizes the roadmaps per major app domain:

[[TOC()]]

== 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