Description:

Mathematical model repository - generic models, not patient specific. Not really data per se, rather, a collection of models in a database.

Additional information:

Have_(encrypted)_NHI No
Personally identifiable (e.g. linked to NHI numbers) and longitudinal or aggregated (e.g. for planning, clinical research etc.)? No
Volume of data (e.g. how many records) Since when? Currently around 500 CellML models, dating from 1950s through to current
Purpose and governance including ethics committee/patient consent mechanisms. Q: How do you get around ethics/privacy issues with your data sources? Esp. DHBs? Papers are already published, and permit reproduction of model.
Scope National
Does the data contain diagnoses and clinical outcomes? Does the data contain procedures, device information and medication for therapy? Does this data set have cost / price data? No, No, Free
Presence of Data dictionary? Column headings in Excel or any kind of data model if residing in a relational database (e.g. Access, SQL Server, Oracle etc.) CellML (an open standard) is the format of the models. A similar repository of anatomical models is being created, and will use the FieldML standard.
Linked (or linkable) to other datasets within your organisation or across the Sector No
How often does this data set get updated? Daily? Weekly? Monthly? Quarterly? Yearly? Monthly
Indication of data quality (e.g. missing values, duplications, inconsistencies etc.). Q: Audits? How do you ensure the data is valid and correct? In previous years, a full time curator was employed for quality assurance.
Brief info about the systems and processes used to collect/manage data. Q: Where the data is collected, in what form, and accessibility? Scientific publications of models are usually then manually converted to the CellML format
Data format, e.g., data structure, data types, and storage form (relational database, Excel, csv, etc.). CellML standard, based on XML. Stored using ZODB object database and Mercurial DVCS, managed by PMR Software (PMR for Physiome Model Repository).
How well the data is structured, e.g. free text VS coded text VS pick-list (drop-down list) CellML allows for very rich structure
How quickly can the data be made available from time of request and how old is the data once it is made available Instant access via web (http://models.cellml.org)