Version: 1.0.6 | Published: 13 Jan 2026 | Updated: 42 days ago
Happier, Healthier Professionals: Symbolic Awards - England
Dataset
Summary
Citation:
What Works for Children's Social Care, released 20 April 2022, ONS SRS Metadata
Catalogue, dataset, Happier, Healthier Professionals: Symbolic Awards - England,
https://doi.org/10.57906/v87v-h502
DOI Name:
Documentation
Associated Media:
Description:
Original purpose for creating the dataset:
Evaluating the effectiveness of the Symbolic Awards intervention
What the data describes:
Individual-level data from participants in the trial at two time points (baseline and endline) including survey responses and administrative data for each research study participant.
Further Information:
The Symbolic Awards dataset is technically a clean dataset, only minimal recoding has been undertaken and no additional variables have been constructed. We refer to it as a source dataset, as the raw participant responses and information are retained. For example, values produced by the survey platform (eg “(3) Neither agree nor disagree”) were recoded as numerical data to prepare it for use in analysis. Future researchers will need to create total scores for measures by combining scales.
Similarly, in some cases the variable class was changed so that it could be appended with another dataset. This minimises the steps needed by future researchers to make best use of the data - which otherwise would have been made up of multiple different datasets. Local authority administrative datasets were also appended to create fewer, larger datasets. An indicator for local authority was added to retain this information. We have provided two datasets: one with all survey data (both baseline and endline) and one with all administrative data (baseline and endline).
Source data are raw data fields that have been captured. For example, if the “clean” data reported how many research participants were of mixed ethnic backgrounds whereas to get this number the “source” data captured all mixed ethnicity types such as mixed-black; mixed-Hispanic; mixed-white etc. The “clean” dataset would not provide the ability for further granular analysis of data based on what was originally captured but the “source” dataset is the raw data that was captured originally.
There will be no identifiable personal data within the source dataset added to the SRS. The source data captured in a project is important in the re-assessment of a clean dataset as the clean data may not elude to all the parameters or dynamics involved in creating the clean dataset (as described above). Providing clean datasets only has been proven to researchers to potentially impede positive outcomes as context can be lost which may have an impact to the subsequent research. The reason is to mitigate human error in the creation of a ‘clean’ dataset.
On occasion, whilst researchers are codifying the data, as is standard practice in research, it is known that due to the complexity of the task of coding data sometimes the data fields can be accidentally overwritten. Therefore, the purpose for providing a source dataset for the same piece of research is for the mitigation of these mistakes in the data. It is to provide the ability for researchers to come back to the original data, so nothing is lost or missed due to the risk of human error.
Coverage
Spatial
Spatial Coverage:
England
Geographical Levels:
local authority district
Temporal
Start Date:
01 November 2020
Latest Data:
30 September 2021
Frequency:
STATIC
Distribution Release Date:
20 April 2022
Provenance
Source:
Survey
Access and Governance
Usage
Condition of Access:
Access needs approval
Condition of Use:
Output required for approval
Resource Creator:
Office for National Statistics
Access
Access Service:
- Safe Rooms, SafePods
- Assured Organisational Connectivity – office based
Jurisdictions:
GB-EAW
Data Controller:
What Works for Children's Social Care
Access Level:
Access Level 2
Format and Standards
Languages:
en
Formats:
CSV
Enrichment and Linkage
Related Datasets:
- Happier, Healthier Professionals: Social Workers - England
- Happier, Healthier Professionals: Ministry Of Defence - UK
- Happier, Healthier Professionals: Increasing Diversity - England
Origin
Name:
ONS SRS Metadata Catalogue