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We are joining and playing our part in global efforts towards better data use for better social outcomes. As the Government Outcomes Lab (GO Lab) at the Blavatnik School of Government, University of Oxford, our contribution is to convene an "International Network for Data on Impact and Government Outcomes” or “INDIGO.”
INDIGO is a community of peers from different countries, sectors and policy domains with an interest in sharing data about projects that seek to address complex social problems. The INDIGO initiative includes community activities, a system for sharing data, and various datasets available as open data on the GO Lab website. As an emerging data collaborative, we believe that helping more people share and use quality data will improve both the efficiency and effectiveness of these projects.
To find out more about INDIGO, watch our introduction video below.
Imagine you work in local government and want to improve the lives of homeless people in your area. You might be able to find a few case studies of projects that address homelessness, but do you know how other local governments have defined goals for programmes to tackle this problem? Can you find examples of projects that seek to address similar issues? In a similar context?
Across the world, people are working to solve a wide range of complex problems such as homelessness, long term unemployment or reducing crime rates through projects that use cross sector collaboration. Addressing these challenges often involves the joint work of governments, private sector, and third sector organisations. Even though these collaborations share similar rhetoric and promise, it is often too difficult and expensive to access information about other projects.
This is why we have started the INDIGO initiative. Its main objective is to support the use of quality data by policymakers who are addressing complex social and environmental problems. Data standards initiatives already exist in particular sectors, but INDIGO’s key contribution is to harmonise those standards – and culture – across sectors involved in impact bonds and other outcome-based projects. We are collaborating with existing standards. We are borrowing wheels, not reinventing them.
INDIGO has a wide variety of users and use cases, many of which were discussed at our first Peer Learning Group Meeting in June 2020.
INDIGO has three layers — each with tools and ways to collaborate
INDIGO is a community of peers and an emerging data collaborative, we invite you to join us.
Collaborate and grow our community:
INDIGO offers a collaborative open process for sharing information about outcomes projects, including data definitions and open source code for our database and data visualisations. We support a quarterly collaborative cycle (illustrated below). The system and cycle include Lab staff who process data, the INDIGO Data Dictionary 2020 and the INDIGO Data Template Spreadsheet. We are grateful to the Brookings Institution for collaborating on many of the data definitions in late 2019. See Data Dictionary 2020 for details.
Collaborate and improve our system:
Illustrated below is our Quarterly Collaborative Cycle, which is ambitious and highly dependent upon collaboration from individuals and organisations around the world. You can also find the latest version of our INDIGO Data Dictionary 2020, which is an essential tool in the INDIGO system, and the INDIGO Data Template Spreadsheet.
An outcomes-based approach fundamentally involves data on outcomes. Data may be used within an organisation, among a group of organisations, and with external parties including the public. We know that not all data are shared with everyone in the same way. However, INDIGO partners should start with the default position that their data should be shared openly with the public unless there is a good reason not to do so. The public is likely to be another funder, investor, or provider trying to solve a complex social problem so this data will be hugely useful to them.
To date our focus has been on impact bonds. Our intention is to widen this focus to include other types of collaborations around social outcomes.
As of September 2020, we offer three datasets:
Collaborate and improve our data:
Email us at firstname.lastname@example.org if you if have any questions or need a place to publish your open data and documents consistent with the INDIGO and/or relevant standards.
As of September 2020, our datasets describe impact bonds. We plan to collaborate around additional datasets describing other types of partnerships set up to tackle social and environmental challenges.
We would like you to share data using our INDIGO Data Template Spreadsheet and our Data Definitions 2020. Email us at email@example.com to talk about sharing data on new projects, changes or performance updates on current projects, clarifications or corrections on our data, and/or confidentiality or sensitivity notices. We would also like your feedback using the INDIGO Feedback Questionnaire and INDIGO Data Definitions Improvement Tool. [To Be posted September 3, 2020]
Not in most cases. For most projects, we have collected data and we are asking you to update the sheet.
Additionally, we have identified three levels of priority for each tab in the spreadsheet.
The levels are noted in the INDIGO Data Dictionary 2020 and at the top of each tab in the INDIGO Data Template Spreadsheet.
Crucially, data are shared by and for the INDIGO community. Data quality (i.e. accuracy, completeness, consistency, credibility, and currentness) is only as good as the data shared.
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. Not everyone agrees that all these data should be public and those that do agree are very busy. 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.
Nonetheless, INDIGO offers the world’s most complete open dataset on impact bonds and we are collaboratively working towards higher quality data together.
Interested in sharing your data or participating in any INDIGO events? Please get in touch at firstname.lastname@example.org.
Help make INDIGO better: We warmly invite your feedback through the INDIGO Feedback Questionnaire 2020.
We hope that the spirit of innovation and collaboration, so integral to the success of outcomes-based projects themselves, will also carry this initiative forward. Let’s work through these issues together.