Table 1 TIRRE dimensions of research readiness

1

Data readiness (micro level)

a

What data

i. Scope of data recorded

ii. How held (distributed or centralised)

iii. Single or multiple systems

b

Interoperability

i. Denominator data, - demographics, - unique identifiers

ii. Coding system

iii. Data quality – metadata Linkages – lab

2

Record system readiness (meso level)

a

Type of record architecture – encounter based, problem orientated,

b

Data extraction method (e.g. local or central)

c

Extract type

d

Health-system-wide initiatives for data extraction (e.g. CPRD, GPES)

3

Organisational readiness (macro level)

a

Legislative and regulatory compliance readiness

b

Health system readiness

i. Organisational structure

ii. Local issues or service configuration that might inform data availability

iii. Other studies which may involve the target patients/subjects of research

c

Socio-cultural readiness

i. Types of studies that the data provider finds acceptable/is allowed to participate in

ii. Other factors that might influence local data

iii. Language within records

4

Study readiness

a

Quality of relevant data

b

Demographic and other data including access to laboratory and imaging res