Hidden roles: perspectives, paths and lived experiences

This presentation was given as a workshop at the Festival of Hidden Ref on 21 September 2023. More details about the Hidden REF can be found here: https://hidden-ref.org/ Material for this workshop was adapted from previous Turing Way workshops for Open Science conference 2023 and Collaborations workshop 2023. Please also see our chapter on Research Infrastructures Roles in the Turing Way Guide to Collaboration

A large-scale and PCR-referenced vocal audio dataset for COVID-19

The UK COVID-19 Vocal Audio Dataset is designed for the training and evaluation of machine learning models that classify SARS-CoV-2 infection status or associated respiratory symptoms using vocal audio. The UK Health Security Agency recruited voluntary participants through the national Test and Trace programme and the REACT-1 survey in England from March 2021 to March 2022, during dominant transmission of the Alpha and Delta SARS-CoV-2 variants and some Omicron variant sublineages. Audio recordings of volitional coughs, exhalations, and speech were collected in the 'Speak up to help beat coronavirus' digital survey alongside demographic, self-reported symptom and respiratory condition data, and linked to SARS-CoV-2 test results. The UK COVID-19 Vocal Audio Dataset represents the largest collection of SARS-CoV-2 PCR-referenced audio recordings to date. PCR results were linked to 70,794 of 72,999 participants and 24,155 of 25,776 positive cases. Respiratory symptoms were reported by 45.62% of participants. This dataset has additional potential uses for bioacoustics research, with 11.30% participants reporting asthma, and 27.20% with linked influenza PCR test results.Comment: 37 pages, 4 figure

The Turing Way: Community-led resources for open research and data

The Turing Way is an open-source, community-led, and collaboratively developed project on making data science and research skills accessible, comprehensible, and beneficial for a wider research community. We bring together individuals from diverse fields and expertise to develop practices and learning resources that can make data research comprehensible and useful for everyone. These resources are organised as an online book with over 250 chapters across five guides on reproducibility, project design, collaboration, communication and ethics in research. This lightning talk will introduce The Turing Way project and community, as well invite contributors to get involved in our new Github organisation

The Turing Way: Community-led resources for Open Research and Data Science

<p>This presentation was given as part of the Open and Engaged 2023: Community over Commercialisation Conference on Monday 30 October 2023, hosted at the British Library. </p><p>The talk introduces the Turing way project and how we support our community to contribute to the project. </p&gt

Opening up your communications

<p>This presentation was given by members of The Turing Way project as part of a workshop on 'Opening up your communuications' at the Centre for Doctoral Training (CDT) conference 2023 on 15th November 2023. </p><p>The presentation introduces the idea that all outputs should be opening up, if possible, and this should be done throughour the research lifecycle - not just at the end!<br>To communicate research effecively and accessibly, you should consider the audience for your output and also considered additional ways to make the output accessible to more people such as making the writing less technical for a lay audience such as writing a lay summary, and writing alt text to fully describe figures. </p><p>More information about the CDT Conference can be found on the <a href="https://www.turing.ac.uk/events/cdt-conference-2023">website</a>. </p><p>Find out more about The Turing Way Project by looking at <a href="https://the-turing-way.start.page/">our start page</a> or <a href="https://the-turing-way.netlify.app/index.html">The Turing Way Book</a>. <br> </p&gt

Towards FAIR phytolith data: first steps down a long and winding road

Peer reviewe

A dataset for assessing phytolith data for implementation of the FAIR data principles

Phytolith research contributes to our understanding of plant-related studies such as plant use in archaeological contexts and past landscapes in palaeoecology. This multi-disciplinarity combined with the specificities of phytoliths themselves (multiplicity, redundancy, naming issues) produces a wide variety of methodologies. Combined with a lack of data sharing and transparency in published studies, it means data are hard to find and understand, and therefore difficult to reuse. This situation is challenging for phytolith researchers to collaborate from the same and different disciplines for improving methodologies and conducting meta-analyses. Implementing The FAIR Data principles (Findable, Accessible, Interoperable and Reusable) would improve transparency and accessibility for greater research data sustainability and reuse. This paper sets out the method used to conduct a FAIR assessment of existing phytolith data. We sampled and assessed 100 articles of phytolith research (2016–2020) in terms of the FAIR principles. The end goal of this project is to use the findings from this dataset to propose FAIR guidance for more sustainable publishing of data and research in phytolith studies.This project has received funding through EOSC-life from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 824087. The FAIR Phytoliths Project is based at two institutions: Universitat Pompeu Fabra and Historic England. We would like to thank both these institutions for their support and also financial commitment to this project. Thank you also for in-kind support from Texas A&M University and the Spanish National Research Council for time on this project by Javier Ruiz-Pérez and Juan José García-Granero. Ruiz-Pérez was supported by the National Science Foundation under award number DEB-1931232 to J. W. Veldman. García-Granero acknowledges funding from the Spanish Ministry of Science, Innovation and Universities (Grant No. IJC2018-035161-I). Carla Lancelotti acknowledges funding from the European Research Council (ERC-Stg 759800). Celine Kerfant is a recipient of Juan de la Cierva-Formación contract FJC2021-046496-I funded by MCIN/AEI/10.13039/501100011033 and by the European Union “Next Generation EU”/PRTR

Shaping the future of research evaluation. Insights from The Festival of Hidden REF.

The white paper outlines the experiences and processes underpinning the first Hidden REF exercise in 2021, plus the discussions held at the inaugural Festival of Hidden REF in Bristol, UK, on 21 September 2023.Organised around two main themes, the white paper defines and evaluates non-traditional outputs in order to promote their inclusion in the mainstream Research Excellence Framework (REF 2029). Plus, it determines the structure of the next Hidden REF exercise, currently envisioned for 2024.The white paper demonstrates that the Hidden REF 2024 exercise presents an opportunity to experiment with evaluation approaches that would not be possible in the mainstream REF 2029. As such, Hidden REF 2024 is uniquely well-placed to assess what works in the evaluation of non-traditional outputs. If these conclusions are implemented in REF 2029, sectoral confidence in the fair and robust evaluation on non-traditional outputs will grow, and Higher Education Institutions (HEIs) will include more non-traditional outputs in their REF 2029 output submissions