Weekly digest: Open Pharma survey results, DOAJ consultation and FNLM webinar

Sophie Nobes

This week, we explore the results of Open Pharma’s data sharing survey, which was presented at the 2024 Annual Meeting of ISMPP. We highlight a DOAJ community metadata consultation and signpost a two-part webinar series from the FNLM. We learn about a change to the F1000 peer review process and about the RedacTek PubPeer plug-in. Finally, we read an analysis of where research data are shared.

Open Pharma presents data sharing survey results via Open Pharma

Here at Open Pharma, we have presented the results of our landmark data sharing survey at the 2024 Annual Meeting of the International Society for Medical Publication Professionals (ISMPP). The poster – titled Unraveling the story behind challenges with journal data sharing requirements: an Open Pharma survey – and accompanying video investigate the challenges associated with the requirement from journals to share patient-level data. In response to the survey, the STM Open Research Committee is coordinating a publisher-led initiative to create guidance addressing the potential barriers to responsible data sharing.

DOAJ metadata consultation via DOAJ Blog

The Directory of Open Access Journals (DOAJ) has launched a consultation to collect community perspectives on the metadata associated with indexed journals. The consultation aims to explore which metadata are useful to users of the directory through a survey and voluntary interviews. The survey is available in English, French, Portuguese and Spanish, and will close on 6 May 2024.a

Research quality and reproducibility: a two-part webinar via Friends of the National Library of Medicine

Join the Friends of the National Library of Medicine (FNLM) on 14 and 21 May for a two-part webinar series titled Quality defects and methods of reproducibility in biomedical research. Speakers include Open Pharma Co-founder Chris Winchester (CEO of Oxford PharmaGenesis), who will explore methods for improving quality during the preparation of publications. Registration for these paid webinars is open now.

F1000 implement editorial-led peer review via F1000 | 4-minute read

Open access publisher F1000 has announced that authors will no longer be required to suggest peer reviewers during manuscript submission. Instead, the F1000 editorial team will identify and invite reviewers to assess submitted articles. The publisher hopes that the new process will speed up both the time to publication and the peer review process itself. Reviewer names, reports and author responses will still be published alongside accepted articles. Further adjustments to the F1000 publishing model will be announced later in the year.a

PubPeer plug-in flags integrity concerns via Nature | 3-minute read

RedacTek have launched a free browser plug-in that alerts readers to citations flagged on PubPeer, an online platform for post-publication peer review that is often used to raise concerns about the integrity of papers. The plug-in searches reference lists and uses information from PubPeer’s database, Crossref and OpenAlex to flag citations that users have raised concerns about or have been retracted. The tool also calculates a ‘retraction association value’, indicating the extent to which a paper is associated with retracted materials. More information about the plug-in – including how to install it – can be found on the RedacTek website.a

Where are research data most frequently shared? via PLOS One | 45-minute read

This paper explores which data repositories are most frequently used by six academic research institutions and evaluates the quality of the metadata associated with the datasets stored in them. After establishing that metadata is often incomplete or missing from source data repositories, the authors conclude the paper with a set of recommendations that could be used by repositories and authors to ensure that data are FAIR (findable, accessible, interoperable and reusable).

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aPaige – a generative AI tool created by Oxford PharmaGenesis – was used to create an early draft of this summary. Paige uses OpenAI’s GPT Large Language Models, securely and privately accessed from within Microsoft’s Azure platform. The AI-generated output was reviewed, modified or rewritten, and checked for accuracy by at least one member of the Open Pharma team. The news pieces included in the weekly digest are curated by the Open Pharma team without the use of AI.