INNOVATION SCHOLARS: DATA SCIENCE TRAINING IN HEALTH AND BIOSCIENCE – FUNDING – EXTENDED DEADLINE

1. Title: INNOVATION SCHOLARS: DATA SCIENCE TRAINING IN HEALTH AND BIOSCIENCE – FUNDING – EXTENDED DEADLINE2. Awarding Authority: UKRI, BBSRC, GB Email: DataScienceTraining@ukri.org. Web: 3. Contract type: Service contract4. Description: Funding is available for up to two years to enable the delivery of innovative training programmes to upskill health & bioscience researchers in data management and analysis. Training programmes should provide flexible upskilling from different starting levels and career stages or enable researchers to develop skills in new or emerging areas of importance where training provision is currently limited. Applications should result in training opportunities in data science to upskill health & bioscience researchers, relevant to one or more of the following themes:Data stewardship, management & sharing Manipulation & analysis of complex large-scale data Data modelling skills & training in data exploration/ interpretation/ calibration/ validation Integration of different types of data, such as imaging and genomics Improving software, computing, infrastructure, architecture & data engineering knowledge contextualised for data-intensive biosciencesStatistics or mathematics skills contextualised for data-intensive biosciences Pertinent data and technical challenge areas include (but are not limited to) genomics & gene expression, proteomics & metabolomics, image analysis & phenotyping, digital health data (including new and emerging forms of data), AI & machine learning, data visualisation, modelling, and reproducibility/ good research practice (e.g. experimental design, workflows, fostering FAIR data principles) within data-intensive science, the secondary analysis of administrative, cohort and panel studies.A total budget of £5m is available through the UKRI Innovation Scholars programme to support 5-10 awards. Pre-registration is required so that we can confirm suitability of the proposal prior to the full application stage. Please register your expression of interest here by 30th September 2020.5. CPV Code(s): 73110000, 73100000, 73210000, 73200000, 80500000, 80000000, 805210006. NUTS code(s): UKK, UKK1, UKK147. Main site or location of works, main place of delivery or main place of performance: South West (England), Gloucestershire, Wiltshire And Bristol/Bath Area, Swindon.8. Reference attributed by awarding authority: Not provided.9. Estimated value of requirement: A total budget of £5m is available through the UKRI Innovation Scholars programme to support 5-10 awards10. Please register your expression of interest 17.11.2020 (16:00).11. Address to which they must be sent: For further information regarding the above contract notice please visit:12. Other information: To find out more about the scheme please visit the UKRI website.Timeline Event DateCall opens for registration 17/08/2020Registration closes * 30/9/2020Je-S call opens 13/10/2020Information webinar 20/10/2020Closing date * 17/11/2020Panel review 15/12/2020Award Start Confirmation 14/2/2021Who can applyThe scheme is open to UK-based researchers and professionals with proven experience in the area of data science and/ or training provision.The host organisation must be eligible to receive Research Council funding. Collaborations within and across sectors are encouraged. These can include collaborations outside the UK where the lead organisation is eligible. How to applyPre-registration is required so that we can confirm suitability of the proposal prior to the full application stage. Please register your expression of interest here by 30th September 2020.We will notify you of approval to submit a full application by the 13th October 2020. Please note, only minimal feedback regarding fit to scope of call will be provided at this stage. Applications that do not receive approval at this stage will not be considered further. Full applications must be submitted by all organisations via Je-S by 16:00 on 17th November 2020. All applicants should ensure that they allow sufficient time for their application to pass through their organisation’s internal and Je-S submission routes prior to the 16:00 deadline.Applications can include industry partner(s). Applicants with industrial partner(s) will need to include ‘DSTICA:’ as a prefix to their project title and, if notified of approval to submit a full Je-S application, complete the Project Partner section in Je-S and submit a DST Industry Collaboration Agreement (DSTICA) Form and Heads of Terms.Required documentationIn addition to completing the Je-S form, the following should be provided:Case for support (see template, 6 pages)Capability to deliver (see template, 2 pages, please upload to the Je-S form using the ‘Supporting Data’ attachment type)Diagrammatic Workplan (Gantt chart suggested, 1 page)Justification of Resources (2 pages)No additional attachments will be accepted. Letters of Support are not required for this call. Applications that exceed the page limits above will not be taken forward for panel review.# funding opportunity