Notice Information
Notice Title
GSCIP Data Sets
Notice Description
This PIN is for Market Engagement purposes only. DIT leads a cross-government pilot to test the feasibility and value of combining government and private sector data sets to build global supply chain understanding. The heart of this pilot is a graph database which is enhanced by adding other data sets which we provide or procure to be added to the knowledge graph which then probabilistically infers relationships between products, entities, and geolocations for global supply chain mapping. This PIN is to engage with data providers who can supply regularly updated data sets with wide geographic coverage that can be ingested into our knowledge graph to improve the scope and accuracy of our supply chain mapping capabilities.
Lot Information
Lot 1
The Global Supply Chains Intelligence Pilot (GSCIP) is a pilot project led by DIT and supported by five other departments which has combined government and private sector data to build detailed global supply chain maps using a knowledge graph (currently provided by Altana), and graph data analysis and visualisation tools. We are engaging with the market to find potential partners for a further two years of development and testing of this concept (April 2023-March 2025.) We currently have around 25 analysts testing specific use cases across the six departments, but we expect the number of departments and analysts may increase during the next two years and some operational use cases will arise in response to global events. The current prototype infrastructure comprises a secure digital environment for storing, linking, and analysing HMG, commercial and open-source data. The environment features graph database capabilities, specialist data visualisation software, and analysis tools, such as Spark SQL, Python and R, for supply chain mapping. The prototype includes several government data sets, eight commercial data sets, and it resides within the core DIT infrastructure. We would like to hear from companies that already have regularly updated data sets that can be used for supply chain mapping of products, businesses, geolocations, and the risks associated with those. We are not commissioning new research and are only interested in existing data sets that can be provided to us complete, or extracts based on our specified products, entities, or geolocations. The data sets should be available to upload into our IT infrastructure, preferably via an API, SFTP, or S3 buckets. Due to the sensitivity of the data on the platform (both government and other companies' data), data sets will need to be approved by government data assurance processes including ISO27001 or equivalent, an ability to show evidence of a strong security posture, Data Protection Impact Assessments and cyber security checks (which may include penetration testing by a CHECK service provider), and other Government Information Risk and Cyber Security assurance processes. We expect to have a decision on funding for the continuation of the GSCIP in December 2022 and will have limited time to procure the required data and data tools before the current agreements end in March 2023. For this reason, we are only engaging with suppliers that already have the data that we require so that they can be procured in March 2023 and available for use in April 2023. The estimated value for the data sets for the two-year pilot continuation above is only our best current estimate of what our budget will allow. We may be funded at a higher or lower level. Additional information: For these procurements we are likely to use CCS framework agreements such as G-Cloud 13, Spark DPS or AI DPS. The latter two can be joined at any time: https://www.crowncommercial.gov.uk/agreements/RM6094 https://www.crowncommercial.gov.uk/agreements/RM6200
Notice Details
Publication & Lifecycle
- Open Contracting ID
- ocds-h6vhtk-038a13
- Publication Source
- Find A Tender Service
- Latest Notice
- https://www.find-tender.service.gov.uk/Notice/034147-2022
- Current Stage
- Planning
- All Stages
- Planning
Procurement Classification
- Notice Type
- Planning Notice
- Procurement Type
- Standard
- Procurement Category
- Services
- Procurement Method
- Not Specified
- Procurement Method Details
- Not specified
- Tender Suitability
- Not specified
- Awardee Scale
- Not specified
Common Procurement Vocabulary (CPV)
- CPV Divisions
72 - IT services: consulting, software development, Internet and support
-
- CPV Codes
72314000 - Data collection and collation services
72319000 - Data supply services
72321000 - Added-value database services
72322000 - Data management services
72330000 - Content or data standardization and classification services
Notice Value(s)
- Tender Value
- £2,000,000 £1M-£10M
- Lots Value
- Not specified
- Awards Value
- Not specified
- Contracts Value
- Not specified
Notice Dates
- Publication Date
- 2 Dec 20223 years ago
- Submission Deadline
- Not specified
- Future Notice Date
- 1 Dec 2022Expired
- Award Date
- Not specified
- Contract Period
- Not specified - Not specified
- Recurrence
- Not specified
Notice Status
- Tender Status
- Planned
- Lots Status
- Planned
- Awards Status
- Not Specified
- Contracts Status
- Not Specified
Buyer & Supplier
Contracting Authority (Buyer)
- Main Buyer
- DEPARTMENT FOR INTERNATIONAL TRADE
- Contact Name
- Not specified
- Contact Email
- commercialbpo@trade.gov.uk
- Contact Phone
- Not specified
Buyer Location
- Locality
- LONDON
- Postcode
- SW1A 2BL
- Post Town
- South West London
- Country
- England
-
- Major Region (ITL 1)
- TLI London
- Basic Region (ITL 2)
- TLI3 Inner London - West
- Small Region (ITL 3)
- TLI35 Westminster and City of London
- Delivery Location
- Not specified
-
- Local Authority
- Westminster
- Electoral Ward
- St James's
- Westminster Constituency
- Cities of London and Westminster
Further Information
Open Contracting Data Standard (OCDS)
View full OCDS Record for this contracting process
The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts.
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