Planning

Provision of Scheduling and Workflow Software for CMAC Data Lab

UNIVERSITY OF STRATHCLYDE

This public procurement record has 1 release in its history.

Planning

27 Nov 2023 at 00:00

OJEU - F1 - Prior Information Notice
Summary of the contracting process

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.

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Notice Information

Notice Title

Provision of Scheduling and Workflow Software for CMAC Data Lab

Notice Description

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.

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-r6ebe6-0000751526
Publication Source
Public Contracts Scotland
Latest Notice
https://www.publiccontractsscotland.gov.uk/search/show/search_view.aspx?ID=NOV493593
Current Stage
Planning
All Stages
Planning

Procurement Classification

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

Common Procurement Vocabulary (CPV)

CPV Divisions

48 - Software package and information systems

72 - IT services: consulting, software development, Internet and support

CPV Codes

48100000 - Industry specific software package

48330000 - Scheduling and productivity software package

48600000 - Database and operating software package

72212332 - Scheduling software development services

Notice Value(s)

Tender Value
Not specified
Lots Value
Not specified
Awards Value
Not specified
Contracts Value
Not specified

Notice Dates

Publication Date
27 Nov 20232 years ago
Submission Deadline
Not specified
Future Notice Date
1 Mar 2024Expired
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
UNIVERSITY OF STRATHCLYDE
Contact Name
Jemma Wylie
Contact Email
jemma.wylie@strath.ac.uk
Contact Phone
Not specified

Buyer Location

Locality
GLASGOW
Postcode
N/A
Post Town
Not specified
Country
Not specified
Major Region (ITL 1)
Not specified
Basic Region (ITL 2)
Not specified
Small Region (ITL 3)
Not specified
Delivery Location
TLM82 Glasgow City
Local Authority
Not specified
Electoral Ward
Not specified
Westminster Constituency
Not specified

Further Information

Notice Documents

Open Contracting Data Standard (OCDS)

View full OCDS Record for this contracting process

Download

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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