PU-17/0137 - ONS website 'Data Discovery'
Details
- Published
- 26 August 2016
- Submission
- 9 September 2016
- Source
- uk:digital_marketplace
Tender description
Summary of the work ONS are looking for a highly skilled, collaborative supplier to work on building the alpha of an extended data discovery journey for users of the ONS website. Expected Contract Length 6 months Latest start date 10/10/2016 Why the Work is Being Done The need to support ONS multi-variate (especially small area) statistics. With an evolving devolution agenda in the UK and policy interest in cities and regional data, we anticipate needing a sustainable, flexible and responsive route to dissemination. For example, recently the ONS has been criticised for not enabling easy access to economic data at a local level for analysis of how the distribution of EU funding impacts on how people vote in the Referendum. Problem to Be Solved It is clear that users require the capability to perform quite complex multi-variate queries that include, but are not limited to, small area statistics. They want to be able to undertake this as part of a single user journey on a single ONS domain rather than being passed from site to site. Who Are the Users High level user stories are available here --> https://trello.com/b/1eULNJHz/data-discovery-epic-user-stories Work Already Done Significant user research has been undertaken and documented to date and this is available to the future team. There has also been initial technical investigative work done which is available on Github and is fully documented (including a proposed data model.) Existing Team The supplier team will be working with an in-house multi-disciplinary team who have end-to-end responsibility for the ONS website and publishing platform. Current Phase Alpha Skills & Experience • Expert in delivery of solutions that utilise micro services - 3 points • Expertise in development/delivery using Cloud Foundry (Python,Scala,Selenium/BOSH/Manifest or docker, GRAILS, Spring) - 3 points • Expertise in the design and delivery of Restful API's (inc: security functional and non-functional requirements) and use of appropriate tooling such as Swagger/RAML - 3 points • Expert in cloud technologies: design, planning. security, integration, whilst remaining Cloud provider agnostic - 3 points • Experience of effective identification and use of open source software components - 3 points • Experience in relational and non-relational databases in multiple formats - 3 points • Experience in using automated (testing) environments and continuous integration, delivery & (potentially) deployment, particularly GitHub and Jenkins - 3 points • Expertise in Agile delivery (e.g., Scrum, Kanban etc.) as outlined in the Government Service Design Manual using BDD and TDD -3 points • Experience of delivery in Data Architecture Services, especially in a sensitive data environment - 3 points • Expertise in coaching/mentoring technical staff - 3 points Nice to Haves • Experience of working across government agencies - 1 point • Knowledge of geospatial technologies - 2 points • Experience of working with 'linked data' technologies (i.e. triple stores, GraphDB, SPARQL) - 2 points Work Location Newport, South Wales Working Arrangments The team is expected to be on-site and co-located with the in-house team. Security Clearance All team members must be in possession of a current Disclosure Scotland clearance prior to starting contractual work. No. of Suppliers to Evaluate 3 Proposal Criteria • Technical Solutions - 5 points • Approach & Methodology - 5 points • How the approach or solution meets user needs - 5 points • How the approach or solution meets your organisation’s policy or goal - 2 points • Estimated timeframes for the work - 2 points • How they’ve identified risks and dependencies and offered approaches to manage them - 2 points • Team structure - 2 points • Value for money - 2 points Cultural Fit Criteria • Work as a team with our organisation and other suppliers - 4points • Transparent & Collaborative when making decision - 4points • Have the user and customer needs at the core of decision making - 4points • No blame culture and encourage people to learn from their mistakes - 4points • Skills transfer and mentoring of team members - 4points Payment Approach Capped time and materials Evaluation Weighting Technical competence 60% Cultural fit 20% Price 20% Questions from Suppliers 1. Could you give us the estimated budget? The estimated budget is to be agreed with the winning bidder. 2. Do you have a link to the information on GitHUB? How many people does the project require? The links are as follows:https://github.com/ONSdigital/dp-local-webhttps://github.com/ONSdigital/dp-local-data-apihttps://github.com/ONSdigital/dp-local-bohttps://github.com/ONSdigital/dp-local-data-modelFor the team size: 'We need a team to cover the skills listed and will take advice on how many individuals that requires' 3. Do you have a mapping solution/data already that we’d need to integrate with, or are you open to suggestions? We are open to all mapping solutions and will make choices based on the needs of our users
Timeline
- Completed: Tender published26 August 2016Current notice
- Completed: Submission date9 September 2016
About the buyer
Office for National Statistics is a public sector buyer in United Kingdom publishing tenders and awards on Stotles. Explore their procurement activity and find more opportunities like this one.
Decision makers
Connect with the people behind this procurement.
| Contact name | Job title | Phone number | Work email |
|---|---|---|---|
| Head of Procurement | +44 •••• •••••• | ••••••••@office-for-national-statistics.gov | |
| Commercial Director | +44 •••• •••••• | ••••••••@office-for-national-statistics.gov | |
| Procurement Manager | +44 •••• •••••• | ••••••••@office-for-national-statistics.gov | |
| Category Lead | +44 •••• •••••• | ••••••••@office-for-national-statistics.gov | |
| Senior Buyer | +44 •••• •••••• | ••••••••@office-for-national-statistics.gov | |
| Contracts Manager | +44 •••• •••••• | ••••••••@office-for-national-statistics.gov |
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