client logo
Version: 1.0.0 | Published: 8 Oct 2024 | Updated: 228 days ago

NHS Tayside and Fife Immunology

Dataset

Documentation

Description:
This data is provided in a format based upon the SCI-Store system. SCI-Store is a data repository which retains patient laboratory test result information at a health board level. Data prior to 2007 for Tayside has been transformed to fit this structure. Fife data starts in 2005 and all originates from SCI-Store. There is earlier data available for Fife.

Coverage

Spatial:
United Kingdom,Scotland,Tayside Region; United Kingdom,Scotland,Fife
Typical Age Range:
0-150
Follow Up:
Unknown

Provenance

Origin

Purposes:
Care
Sources:
LIMS
Collection Situations:
Services

Temporal

Accrual Periodicity:
Monthly
Distribution Release Date:
14 September 2021
Start Date:
02 January 1999
Time Lag:
1-2 weeks

Accessibility

Access

Access Service:
HIC has implemented a remote-access Trusted Research Environment to protect data confidentiality, satisfy public concerns about data loss and reassure Data Controllers about HIC’s secure management and processing of their data. Data is not released externally to data users for analysis on their own computers but placed on a server at HIC, within a restricted, secure IT environment, where the data user is given secure remote access to carry out their analysis. Full details are available via the following link: https://www.dundee.ac.uk/hic/safe-haven
Access Request Cost:
Quotation available on request
Delivery Lead Time:
Not applicable
Jurisdictions:
GB-SCT
Data Controller:
Local NHS boards
Data Processor:
University of Dundee, Health Informatics Centre

Usage

Data Use Limitations:
General research use
Data Use Requirements:
Disclosure control
Resource Creators:
NHS Tayside and Fife

Format and Standards

Vocabulary Encoding Schemes:
LOCAL
Languages:
en
Formats:
CSV,Database

Observations

Statistical Population
Population Description
Population Size
Measured Property
Observation Date
Events
2,936,000 records in the dataset
2936000
Count
11 November 2021
Persons
385,000 patients in the dataset
385000
Count
14 September 2021