Telling a story with metadata or Always drink upstream from the herd: What if your metadata isn’t properly represented in the stream?

Practice research encompasses diverse disciplines and outputs beyond traditional text-based scholarly work. However, existing infrastructure often overlooks the nuances of practice research, hindering its discoverability and reuse. This article summarizes findings from the Arts and Humanities Research Council-funded Practice Research Voices project, which aimed to scope recommendations for enabling practice research across repositories, metadata standards, and community engagement. We present key challenges facing practice research infrastructure, including the complexity of representing iterative, multi-component outputs. Drawing on repository development at the University of Westminster, we propose the ‘portfolio’ concept to aggregate objects and overlay narrative context. We also describe opportunities to evolve standards such as DataCite, RAiD, and CRediT to better accommodate practice research needs, and the value of a cross-domain community of practice. Our recommendations emphasize co-design with researchers and recognizing diverse forms of knowledge creation. Improving discovery and interoperability for practice research will require culture change across the scholarly infrastructure landscape. This project demonstrates that lessons learned from practice disciplines can benefit research more broadly through inclusive and flexible systems

Conceptual Model of Resolution

In this document, we look at three aspects of the resolution of identifiers to a URI representing the resource: dynamic data citation, content negotiation, and machine-enabled licence information

Mapping the UK thesis landscape: Phase 1 project report for Unlocking Thesis Data

This report details the work of the first phase (April-July 2015) of Unlocking Thesis Data, where the project carried out a survey of EThOS institutions, interviewed staff at six universities for more in-depth case studies, and synthesised the findings. Overall, there is much appetite for applying DOIs to theses and their data (which includes datasets, software components and other non-textual supplementary files) and ORCiDs to research students. Glasgow, Southampton and East London universities each minted a DOI for an existing thesis, demonstrating the viability of our intent, but the case studies showed there are constraints in both processes and technologies to be addressed before persistent identifiers (PID) for theses can be a nationwide reality in the UK. The project makes five recommendations for further work in a second phase: 1. Hold at least three thesis “clinics” to investigate opportunities and barriers to assigning DOI and ORCiD identifiers in UK universities 2. Engage with system suppliers/vendors to identify opportunities for enhancing software with required PIDs 3. Consult with EThOS formally to understand what needs to change in EThOS systems and processes to harvest and display PIDs and related metadata for theses and their data 4. Evaluate approaches to updating UKETD profile, initially in EPrints, before planning software enhancements 5. Investigate requirements and solutions for those institutions that use EThOS as their first-point repository

Identifiers for PhD theses and research students: How can we make it happen?

Poster presented at RepoFringe 2016 by Stephen Grace (London South Bank University), Sara Gould, Rachael Kotarski (both of the British Library) and Michael Whitton (University of Southampton). The poster reported on the results of the Unlocking Thesis Data project on the application of thesis DOIs and student ORCID iDs

Unlocking Thesis Data through persistent identifiers: what next?

7-minute presentation made at RepoFringe 2016 as part of the 24x7 "Making a Difference with Data" session. Contributors: Stephen Grace (London South Bank University), John Murtagh (London School of Hygiene and Tropical Medicine), Sara Gould and Rachael Kotarski (both of the British Library) and Michael Whitton (University of Southampton)

Report on the Workshop on Sustainable Software Sustainability 2019 (WOSSS19)

This report is based on the discussions and presentations that took place at the Workshop on Sustainable Software Sustainability (www.software.ac.uk/wosss19) in April 2019 (WOSSS19). It captures the state of the art for a range of Software Sustainability themes that were brought up by the organisers and attendees of the workshop

Effect of Hydrocortisone on Mortality and Organ Support in Patients With Severe COVID-19: The REMAP-CAP COVID-19 Corticosteroid Domain Randomized Clinical Trial.

Importance: Evidence regarding corticosteroid use for severe coronavirus disease 2019 (COVID-19) is limited. Objective: To determine whether hydrocortisone improves outcome for patients with severe COVID-19. Design, Setting, and Participants: An ongoing adaptive platform trial testing multiple interventions within multiple therapeutic domains, for example, antiviral agents, corticosteroids, or immunoglobulin. Between March 9 and June 17, 2020, 614 adult patients with suspected or confirmed COVID-19 were enrolled and randomized within at least 1 domain following admission to an intensive care unit (ICU) for respiratory or cardiovascular organ support at 121 sites in 8 countries. Of these, 403 were randomized to open-label interventions within the corticosteroid domain. The domain was halted after results from another trial were released. Follow-up ended August 12, 2020. Interventions: The corticosteroid domain randomized participants to a fixed 7-day course of intravenous hydrocortisone (50 mg or 100 mg every 6 hours) (n = 143), a shock-dependent course (50 mg every 6 hours when shock was clinically evident) (n = 152), or no hydrocortisone (n = 108). Main Outcomes and Measures: The primary end point was organ support-free days (days alive and free of ICU-based respiratory or cardiovascular support) within 21 days, where patients who died were assigned -1 day. The primary analysis was a bayesian cumulative logistic model that included all patients enrolled with severe COVID-19, adjusting for age, sex, site, region, time, assignment to interventions within other domains, and domain and intervention eligibility. Superiority was defined as the posterior probability of an odds ratio greater than 1 (threshold for trial conclusion of superiority >99%). Results: After excluding 19 participants who withdrew consent, there were 384 patients (mean age, 60 years; 29% female) randomized to the fixed-dose (n = 137), shock-dependent (n = 146), and no (n = 101) hydrocortisone groups; 379 (99%) completed the study and were included in the analysis. The mean age for the 3 groups ranged between 59.5 and 60.4 years; most patients were male (range, 70.6%-71.5%); mean body mass index ranged between 29.7 and 30.9; and patients receiving mechanical ventilation ranged between 50.0% and 63.5%. For the fixed-dose, shock-dependent, and no hydrocortisone groups, respectively, the median organ support-free days were 0 (IQR, -1 to 15), 0 (IQR, -1 to 13), and 0 (-1 to 11) days (composed of 30%, 26%, and 33% mortality rates and 11.5, 9.5, and 6 median organ support-free days among survivors). The median adjusted odds ratio and bayesian probability of superiority were 1.43 (95% credible interval, 0.91-2.27) and 93% for fixed-dose hydrocortisone, respectively, and were 1.22 (95% credible interval, 0.76-1.94) and 80% for shock-dependent hydrocortisone compared with no hydrocortisone. Serious adverse events were reported in 4 (3%), 5 (3%), and 1 (1%) patients in the fixed-dose, shock-dependent, and no hydrocortisone groups, respectively. Conclusions and Relevance: Among patients with severe COVID-19, treatment with a 7-day fixed-dose course of hydrocortisone or shock-dependent dosing of hydrocortisone, compared with no hydrocortisone, resulted in 93% and 80% probabilities of superiority with regard to the odds of improvement in organ support-free days within 21 days. However, the trial was stopped early and no treatment strategy met prespecified criteria for statistical superiority, precluding definitive conclusions. Trial Registration: ClinicalTrials.gov Identifier: NCT02735707

Unlocking Thesis Data University of Leicester case study

Case study of thesis processes at the University of Leicester designed to inform subsequent phases of the Unlocking Thesis Data project. Includes recommendations for Leicester to assign ORCID and DOI identifiers at appropriate points in the research student journey