--- title: "Provision of Scheduling and Workflow Software for CMAC Data Lab" ocid: "ocds-r6ebe6-0000751526" canonical_url: "https://d3tenders.com/contract/?ocid=ocds-r6ebe6-0000751526" markdown_url: "https://d3tenders.com/contract/ocds-r6ebe6-0000751526.md" json_url: "https://d3tenders.com/contract/ocds-r6ebe6-0000751526.json" source: "Public Contracts Scotland" current_stage: "Planning" buyer: "UNIVERSITY OF STRATHCLYDE" published: "2023-11-27" --- # Provision of Scheduling and Workflow Software for CMAC Data Lab Buyer: UNIVERSITY OF STRATHCLYDE Current stage: Planning OCID: ocds-r6ebe6-0000751526 [View canonical contract page](https://d3tenders.com/contract/?ocid=ocds-r6ebe6-0000751526) [Download OCDS JSON](https://d3tenders.com/contract/ocds-r6ebe6-0000751526.json) ## Summary The University of Strathclyde, located in Glasgow, UK, is planning a procurement process for the provision of scheduling and workflow software for CMAC Data Lab. The procurement stage is currently in the planning phase, with the main procurement category being goods. The deadline for completing the questionnaire is 11th December 2024, and the future notice date for communication is set for 1st March 2024. This tender offers opportunities for businesses that can provide scheduling and workflow software solutions, particularly those with expertise in developing state-of-the-art integrated DataFactories. Suitable businesses should be capable of integrating instruments, creating editable workflows, managing workflows, and executing experiments autonomously. Additionally, businesses offering initial and ongoing support, training services, and potential for a strategic partnership with CMAC are encouraged to participate in this opportunity. ## Notice This PIN is for market research purposes and to highlight to the market an upcoming opportunity to provide scheduling and workflow software for CMAC, contributing to the delivery of CMAC's Lab of the Future vision, as part of the Data Lab initiative. ### Lot Information Lot 1 CMAC are developing state-of-the-art intergraded DataFactories in support of our Lab of the Future vision and new CMAC Data Lab initiative. Our goal is to establish multiple automated model driven DataFactories to establish a ML (Machine Leaning) ready database of FAIR (Findable, Accessible, Interoperable and Reusable) data. The Scheduling and Workflow Software will integrate all instruments, allow users to create editable workflows, manage workflows and execute workflows to autonomously run experiments that are designed by optimisation methods or provided by a given list of experimental conditions. Software: The software should be able to integrate all instrumentation across a range of robotics, characterisation equipment, dosing platforms and models (e.g. machine learning python code for experiment optimisation), some of which are currently controlled using LabView. The workflow capabilities of the software should define an editable sequence of operations of instrument capabilities and processes to suit user needs. Individual workflow elements must be modular to enable reordering where appropriate. It is envisaged that the scheduling capabilities of software should run, optimise and ensure data collection for instruments using multiple automated parallel laboratory workflows with cross workflow instrumentation requirements. Implementation & Integration: the system must be able to integrate all instruments in the Data Lab. Support: i) Initial Support: CMAC would be looking for support for integration of the software with individual instruments and models (e.g. machine learning python code for experiment optimisation), workflow creation and migration of existing LabView workflows, setup of automated data capture and system configuration. (ii) Ongoing Support: In future CMAC will be looking for potential additional support for integration of new instruments and development of new workflows. Training: Training on implementation, optimisation and status tracking of scheduling features and workflow modification. Training of existing staff to run and maintain the software. Training of administrators and users will be required. Strategic Partnership: CMAC would welcome discussion on interest and willingness for providers to enter into a more strategic partnership using the CMAC Data Lab as a demonstrator of the technology to the wider medicines manufacturing research, development and innovation sector.. The University has attached a Market Research Questionnaire to this PIN. The University encourages all suppliers that have noted interest in this opportunity to complete the questionnaire attached. Please note this questionnaire is non-committal and purely for information purposes. For those suppliers interested, please complete the questionnaire by 11th December. ## Key Details | Field | Value | | --- | --- | | Publication source | Public Contracts Scotland | | Latest notice | https://www.publiccontractsscotland.gov.uk/search/show/search_view.aspx?ID=NOV493593 | | Notice type | OJEU - F1 - Prior Information Notice | | Procurement type | Standard | | Procurement category | Goods | | Procurement method | Not Specified | | Procurement method details | Not specified | | Tender suitability | Not specified | | Awardee scale | Not specified | | All stages | Planning | ## Dates | Field | Value | | --- | --- | | Publication date | 27 Nov 2023 | | Submission deadline | Not specified | | Future notice date | 1 Mar 2024 | | Award date | Not specified | | Contract period | Not specified | | Recurrence | Not specified | ## Values | Field | Value | | --- | --- | | Tender value | Not specified | | Lots value | Not specified | | Awards value | Not specified | | Contracts value | Not specified | ## Status | Field | Value | | --- | --- | | Tender status | Planned | | Lots status | Planned | | Awards status | Not specified | | Contracts status | Not specified | ## Buyer | Field | Value | | --- | --- | | Main buyer | UNIVERSITY OF STRATHCLYDE | | Locality | GLASGOW | | Post town | Not specified | | Postcode | N/A | | Country | Not specified | | ITL 1 | Not specified | | ITL 2 | Not specified | | ITL 3 | Not specified | | Local authority | Not specified | | Electoral ward | Not specified | | Westminster constituency | Not specified | | Delivery location | TLM82 Glasgow City | ## CPV Codes ### Divisions - 48 - Software package and information systems - 72 - IT services: consulting, software development, Internet and support ### Codes - 48100000 - Industry specific software package - 48330000 - Scheduling and productivity software package - 48600000 - Database and operating software package - 72212332 - Scheduling software development services ## Release History - 27 Nov 2023 at 00:00 - Planning - OJEU - F1 - Prior Information Notice - https://www.publiccontractsscotland.gov.uk/search/show/search_view.aspx?ID=NOV493593 ## Documents - https://www.publiccontractsscotland.gov.uk/NoticeDownload/DownloadDocument.aspx?id=NOV493593&idx=3 2nd February 2024 - PIN Questionnaire 2- please complete and return response to jemma.wylie@strath.ac.uk by 09/02/2024 - https://www.publiccontractsscotland.gov.uk/NoticeDownload/DownloadDocument.aspx?id=NOV493593&idx=2 2nd February 2024 - Additional Information, including List of Equipment and Example workflows - https://www.publiccontractsscotland.gov.uk/NoticeDownload/DownloadDocument.aspx?id=NOV493593&idx=1 27th November 2023 - PIN Questionnaire - https://www.publiccontractsscotland.gov.uk/search/show/search_view.aspx?ID=NOV493593 Provision of Scheduling and Workflow Software for CMAC Data Lab - This PIN is for market research purposes and to highlight to the market an upcoming opportunity to provide scheduling and workflow software for CMAC, contributing to the delivery of CMAC's Lab of the Future vision, as part of the Data Lab initiative. ## Notice URLs - http:// - http://www.publiccontractsscotland.gov.uk/Search/Search_Switch.aspx?ID=751526 - http://www.strath.ac.uk/ - https://api.publiccontractsscotland.gov.uk/v1/Notice?id=ocds-r6ebe6-0000751526 ## Provenance This Markdown file is an alternate public rendering of the D3 Tenders contract record. The canonical page is https://d3tenders.com/contract/?ocid=ocds-r6ebe6-0000751526. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-r6ebe6-0000751526.json.