Housing Open Data to prompt innovation: An introduction
Here we're expecting people to enter ideas for products and services into the Challenge which would help both private and / or social renters to have a better relationship with their landlord. We haven’t restricted the question to particular audiences and we are open to ideas that enable alternatives to renting and/or help people crack the challenges of social housing and/or of the private rental sector.
As with all our challenges, we’ve set a deliberately hard task but it is one which we believe could drive significant societal impact whilst also making good use of the open data that is already available in the housing sector.
The data that we’ve highlighted comes in two forms - one designed for the more data aware, technically savvy community and another for those people who are new to the world of housing and the secrets of the open data therein. We have included ID numbers so that you can cross reference easily between the two documents.
For this Challenge, many of the datasets originate from a wide variety of government departments and include the Land Registry’s price paid data and lesser known data like the Housing Benefit Recoveries and Fraud data from the Department of Work and Pensions.
First, we have developed the Housing Data Guide for participants and potential participants who are in need of a gentle, informative introduction. We’ve brought together key information about each dataset like who owns it, a description of its content and the URL. We hope that this format will be easily readable and will prompt creative thoughts thereby supporting you to come up with ideas that use readily available open data.
Second, if you know the housing sector fairly well, and have a good working knowledge of the content of the open data, the Housing Data Quality Indicator is designed to help you determine which are the most reliable/highest quality (from an open perspective) datasets for the challenge. This spreadsheet includes a quantitative and qualitative assessment of the quality of the data that we have highlighted. We have considered factors such as licence, format and certification amongst many others.
In the case of housing, the quality indicator also includes a tab of ‘supplementary data’ which lists datasets that are less directly relevant to the challenge question and which may have some barriers to access or are not entirely open.
With a following wind and a community of participants, we should generate sufficient examples of the use of open data in this sector to encourage further data releases in the future, as well as creating some useful products and services for renters.
If you would like support in opening up new datasets, or would like to suggest additional open data that could be used by challenge participants and isn’t already included in the documentation, please contact: [email protected]
Are you ready to submit your idea and participate in the challenge now? Go to collabfinder to get involved.
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