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Systematic Review Heatmap [Prototype]

The review team are developing an approach to communicate the methodological soundness of papers available through the heatmap. The prototype field for ‘research quality appraisal’ aims to convey the extent to which a study offers a clearly described methodology, as well as to assess its execution based on the information provided. A qualitative process study is evaluated against expected quality criteria for a qualitative study design while a randomised controlled trial is assessed against criteria for such experimental studies. We use the critical appraisal tools available through CASP and then distil our responses to a three-part structure.

The heatmap shows data on articles and research papers about social outcomes contracts in the field of education. According to your preferences of study design, quality appraisal and other variables, you can pick a particular cell from the heatmap and click on it. After scrolling down, you will see a list of articles matching that selection criteria.

Filter category
Research quality appraisal
Study design
High quality
Medium quality
Low or difficult to assess
Mixed
Qualitative
Quantitative
Country of intervention income
High
5
10
8
5
13
6
Upper-middle
0
0
0
0
0
0
Lower-middle
2
1
0
0
1
2
Low
0
0
0
0
0
0
Multiple cases
4
5
4
0
13
0
Outcomes funder type
Registered company, partnership or commercial association
0
0
0
0
0
0
Registered non-profit organisation, charity or foundation
1
1
1
0
2
1
Government body
6
6
7
5
8
7
Multilateral, bilateral or intergovernmental body
0
1
0
0
1
0
Crowdfunding arrangement
0
0
0
0
0
0
Unregistered organisation
0
0
0
0
0
0
Individual
0
0
0
0
0
0
Collective
0
0
0
0
0
0
Multiple cases
4
7
4
0
15
0
Policy sector
Employment and training
1
3
4
2
4
2
Child and family welfare
1
0
1
1
1
0
Health
0
0
0
0
0
0
Homelessness
1
1
1
2
1
0
Education
2
7
1
0
5
6
Criminal justice
0
0
0
0
0
0
Agriculture and environment
0
0
0
0
0
0
Poverty reduction
0
0
0
0
0
0
Multiple cases
6
6
6
0
18
0
Sustainable development goals
1. No poverty
0
1
0
0
1
0
2. Zero hunger
0
0
0
0
0
0
3. Good health and wellbeing
1
0
0
1
0
0
4. Quality education
2
7
2
0
6
6
5. Gender equality
0
0
0
0
0
0
6. Clean water and sanitation
0
0
0
0
0
0
7. Affordable and clean energy
0
0
0
0
0
0
8. Work and economic growth
1
3
3
1
4
2
9. Industry, innovation and infrastructure
0
0
0
0
0
0
10. Reduced inequalities
1
0
1
2
0
0
11. Sustainable cities and communities
0
0
0
0
0
0
12. Responsible consumption and production
0
0
0
0
0
0
13. Climate action
0
0
0
0
0
0
14. Life below water
0
0
0
0
0
0
15. Life on land
0
0
0
0
0
0
16. Peace, justice and strong institutions
0
0
0
0
0
0
17. Partnerships for the goals
0
0
0
0
0
0
Multiple cases
6
6
5
0
17
0

Available Resources:

Select a cell in the heatmap to list resources

Important Notice and Disclaimer on INDIGO Data

INDIGO data are shared for research and policy analysis purposes. INDIGO data can be used to support a range of insights, for example, to understand the social outcomes that projects aim to improve, the network of organisations across projects, trends, scales, timelines and summary information. The collaborative system by which we collect, process, and share data is designed to advance data-sharing norms, harmonise data definitions and improve data use. These data are NOT shared for auditing, investment, or legal purposes. Please independently verify any data that you might use in decision making. We provide no guarantees or assurances as to the quality of these data. Data may be inaccurate, incomplete, inconsistent, and/or not current for various reasons: INDIGO is a collaborative and iterative initiative that mostly relies on projects all over the world volunteering to share their data. We have a system for processing information and try to attribute data to named sources, but we do not audit, cross-check, or verify all information provided to us. It takes time and resources to share data, which may not have been included in a project’s budget. Many of the projects are ongoing and timely updates may not be available. Different people may have different interpretations of data items and definitions. Even when data are high quality, interpretation or generalisation to different contexts may not be possible and/or requires additional information and/or expertise. Help us improve our data quality: email us at indigo@bsg.ox.ac.uk if you have data on new projects, changes or performance updates on current projects, clarifications or corrections on our data, and/or confidentiality or sensitivity notices. Please also give input via the INDIGO Data Definitions Improvement Tool and INDIGO Feedback Questionnaire.