This call is now closed
Applications are invited for community-based initiatives which will increase software &/or data skills, foster interdisciplinary research or strengthen the community's positive attributes.
This aim of this call is to support community-based initiatives which either contribute to the development of software and/or research data skills or good practice; foster interdisciplinary research through the reuse of tools and resources (e.g. algorithms, data and software); or strengthen positives attributes in the eResearch community;
The aim is also to provide PhD students, research and professional service staff opportunities to develop their leadership and advocacy skills.
Up to £3,000 is available for up to 5 projects, up to £600 each, in any academic discipline or department. It is open to PhD students, research staff and relevant professional service staff.
Proposals must align with one of the three streams:
- Developing research softare and/or data skills and good practice
- Fostering interdisciplinary research through the reuse of tools and resources (e.g. algorithms, data and software).
- Strengthen positives attributes in the eResearch Domain community
Examples of potential activities include, but are not limited to:
- Workshops or challenges to increase programming skills
- Seminars and events to increase knowledge of data management, stewardship, curation, or develop metadata skills
- Activities which advocate for and/or strengthen positives attributes in the eResearch Domain community (such as research integrity and transparency, ethics, responsible innovation, open science, FAIR principles, and EDI)
- Projects to identify and/or increase awareness of existing software and/or data resources that could be used to initiate interdisciplinary research
- Activities to identify and/or address the interests of potential users from different academic disciplines who could reuse data resource or software
- Collaborative initiatives to establish or strengthen collaborations involving research data from different disciplines within UCL, or with external data providers/platforms.
- Analyses of successful models of data governance to enable data sharing
- Activities to explore the application of existing algorithms to address research questions in new disciplines
- Proposals should provide opportunities for the eResearch Domain community, that is, those who perform theoretical and applied research using computational and data sciences or digital technologies across all faculties. Proposals should demonstrate collaboration across at least two UCL departments/institutes.
- This scheme is open to all PhD students, postdocs and academics, in any UCL faculty, as well as relevant professional service staff such as Research Software Engineers (RSE), ResOps, data specialists/stewards, Research Technical Professionals. However, one PI on the application must be a researcher.
- The maximum budget for each proposal is £600.
- Linkages to external partners, policy makers, external consortiums, data platforms or compute facilities, and industry are welcomed. However, one PI on the application must be based at UCL.
- We unfortunately cannot support undergraduate or masters teaching activities.
- Due to COVID19, we do not plan to support face-to-face activities at this time.
Examples of eligible costs include (but are not limited to):
- Non-staff costs to support small research projects or scoping for larger projects (e.g. cloud computing credits)
- Speaker fees
- Online tools, software or training
- Relevant online games
- Purchasing books for participants of a relevant book clubs
- Costs to develop dissemination material (graphics, websites, videos)
- Carer awards to enable researchers to attend an activity
Timescales and how to apply
The call for proposals opens 2nd November 2020; applicants must complete the designated proposal form (see below) and return this to Dr Louise Chisholm (email@example.com ) no later than 30th November 2020 (12:00, noon - deadline extended). All funds must be spent by 1 July 2021 and applicants will be expected to complete a short project reporting form. If you have any queries please contact Louise at firstname.lastname@example.org .