In the past two decades, most academic fields have witnessed an open science revolution that has led to significant increases in open access publishing, reproducibility efforts, and scientific transparency in general (e.g., Spellman et al. 2018). One of the key areas in this ongoing change is data sharing. Although some evidence already points at progress in data sharing practices, many new datasets remain unshared (see Tedersoo et al. 2021).
 
In the present registered report, Henderson et al. (2023) empirically explore the factors that either hinder or facilitate data sharing in the UK. By means of semi-structured interviews, the team will chart researchers’ experiences of sharing and non-sharing. Thematic template analysis will be applied to organise the data into a hierarchical map of capabilities, opportunities, and motivations in a theoretical domains framework (COM-B-TDF). The research plan itself meets the highest open science standards and reflects on the authors own positions, from which the current qualitative interview data sharing efforts will be made.
 
The Stage 1 manuscript was reviewed over three rounds by three experts with familiary of the UK cultural context and specializations in open science practices, qualitative research, and data infrastructures. Based on careful revisions and detailed responses to the reviewers’ comments, the recommender judged that the manuscript met the Stage 1 criteria and therefore awarded in-principle acceptance.
 
URL to the preregistered Stage 1 protocol: https://osf.io/2gm5s (under temporary private embargo)
 
Level of bias control achieved: Level 6. No part of the data or evidence that will be used to answer the research question yet exists and no part will be generated until after IPA.  
 
List of eligible PCI RR-friendly journals:

 

 

References
 
1. Henderson, E., Marcu, A., Atkins, L. & Farran, E.K. (2023). Investigating the barriers and enablers to data sharing behaviours: A qualitative Registered Report. In principle acceptance of Version 3 by Peer Community in Registered Reports. https://osf.io/2gm5s

 

2. Spellman, B. A., Gilbert, E. A. & Corker, K. S. (2018). Open Science. Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience, 5, 1-47. https://doi.org/10.1002/9781119170174.epcn519

 

3. Tedersoo, L., Küngas, R., Oras, E., Köster, K., Eenmaa, H., Leijen, Ä., ... & Sepp, T. (2021). Data sharing practices and data availability upon request differ across scientific disciplines. Scientific data, 8, 192. https://doi.org/10.1038/s41597-021-00981-0

Single gene alterations have been estimated to account for nearly half of neurodevelopmental conditions (NDCs), providing a crucial opportunity for animal models to understand the underlying mechanisms, causes and potential treatments. The use of systematic reviews (SRs) can, in principle, provide a powerful means to synthesise this evidence-base; however, the reporting quality of previous SRs in preclinical animal research has been found lacking (Hunniford et al., 2021). In the current study, Wilson et al. (2023) will undertake an umbrella review – a systematic review of systematic reviews – to assess the characteristics and reporting quality of SRs that, in turn, synthesise research in genetically-modified animals to model NDCs. In particular, the authors will extract key features of reviews (including, among others, the aim and primary research questions, relevant animal model, and number of studies in the SR), in addition to quality indicators such as risk of bias and completeness of reporting. In doing so, the authors aim to enhance guidance on the conduct and reporting of systematic reviews in this area.

 

The Stage 1 manuscript was evaluated over two rounds of in-depth review. Based on detailed responses to the reviewers' comments, the recommender judged that the manuscript met the Stage 1 criteria and therefore awarded in-principle acceptance (IPA).
 
URL to the preregistered Stage 1 protocol: https://osf.io/952qk

 

Level of bias control achieved: Level 4. At least some of the data/evidence that will be used to answer the research question already exists AND is accessible in principle to the authors BUT the authors certify that they have not yet accessed any part of that data/evidence.

 
List of eligible PCI RR-friendly journals:

 

 

1. Hunniford V. T., Montroy J., Fergusson D. A., Avey M. T., Wever K. E., McCann S. K., Foster M., Fox G., Lafreniere M., Ghaly M., Mannell S., Godwinska K., Gentles A., Selim S., MacNeil J., Sikora L., Sena E. S., Page M. J., Macleod M., Moher D., & Lalu M. M. (2021). Epidemiology and reporting characteristics of preclinical systematic reviews. PLOS Biology, 19:e3001177. https://doi.org/10.1371/journal.pbio.3001177

 

2. Wilson, E., Currie, G., Macleod, M., Kind, P. & Sena, E. S. (2023). Genetically-modified animals as models of neurodevelopmental conditions: an umbrella review, in principle acceptance of Version 3 by Peer Community in Registered Reports. https://osf.io/952qk

One of the major challenges in studies of language learning is understanding productive generalisation – the ability to use words and linguistic structures in novel settings that the learner has never encountered previously. According to discriminative learning theory, this skill arises from an iterative process of prediction and error-correction that gradually reduces uncertainty, allowing learners to discriminate linguistic outcomes and to identify informative, invariant cues for generalisation to novel cases. In the current study, Viviani et al (2022) use computational modelling to propose a central hypothesis stemming from this theory that children will learn the meaning and use of spatial adpositions (words such as “above” and “below” that describe relative positions) more effectively when there is more variability in the use of the nouns within the spatial sentences. They will also test a range of additional hypotheses, including that learning and generalisation to novel contexts will be enhanced when children learn from skewed distributions that are similar to those found in natural languages.

 

The Stage 1 manuscript was evaluated over two rounds of in-depth review. Based on detailed responses to the reviewers' comments, the recommender judged that the manuscript met the Stage 1 criteria and therefore awarded in-principle acceptance (IPA).
 
URL to the preregistered Stage 1 protocol: https://osf.io/37dxr

 

Level of bias control achieved: Level 6. Some of the data that will be used in the preregistered analyses was obtained in the second of two pilot experiments. However, since no further revisions to the analysis plan were made after this pilot, the risk of bias due to prior data observation remains zero, and the manuscript therefore qualifies for Level 6.
 
List of eligible PCI RR-friendly journals:

 

 

1. Viviani, E., Ramscar, M. & Wonnacott, E. (2022). Go above and beyond: Does input variability affect children’s ability to learn spatial adpositions in a novel language? In principle acceptance of Version 4 by Peer Community in Registered Reports. https://osf.io/37dxr

​​We are bombarded with news about current events from multiple sources: print media, digital media, friends, family, and more. At the same time, there is an imperative to “stay informed” and be knowledgeable of happenings both local and global. But how much knowledge do we actually gain from this bombardment of information? How informed are we really? It turns out that our perceptions of our knowledge tends to overstate our actual knowledge of a topic. This “illusion of knowledge” effect has been studied across a wide variety of contexts, but is especially relevant for understanding how people learn about and interact with politicized topics.

 

In the current study, Ruzzante et al. (2023) propose to further our understanding of the illusion of knowledge effect in the context of news exposure on social media. They will use an online pre-post experimental design that assesses participants’ perceived knowledge of a number of topics prior to the manipulation, which involves exposure to different social media news feeds, coming two weeks later. Central to the study, participants will be randomized to news stories that differ in their degree of self-involvement, that is how emotionally involved the topics are. Ruzzante et al. will test the hypothesis that more highly self-involved topics (e.g., abortion) will lead to a greater illusion of knowledge effect than less self-involved topics (e.g., feline immunodeficiency).

 

The Stage 1 manuscript was evaluated over two rounds of in-depth peer review, the first consisting of substantial comments from three scholars with relevant expertise, and the second consisting of a close review by the recommender. Based on detailed responses to the reviewers' comments, the recommender judged that the manuscript met the Stage 1 criteria and was therefore awarded in-principle acceptance (IPA).

 

URL to the preregistered Stage 1 protocol: https://osf.io/qa7tb
 
Level of bias control achieved: Level 6. No part of the data or evidence that will be used to answer the research question yet exists and no part will be generated until after IPA.
 
List of eligible PCI RR-friendly journals:
 

 

 

1. Ruzzante, F., Cevolani, G., & Panizza, F. (2023). Scrolling to wisdom: The impact of social media news exposure on knowledge perception. In principle acceptance of Version 5 by Peer Community in Registered Reports. https://osf.io/qa7tb

Cerebral small vessel disease (CSVD) is a common and multi-faceted set of pathologies that affect the small arteries, arterioles, venules and capillaries of the brain. The disease manifests through a range of symptoms and conditions, including psychiatric disorders, abnormal gait, and urinary incontinence, while accounting for 25% of strokes and nearly 50% of dementia.

 

The presence of CSVD is associated with white matter lesions (WML) detected using neuroimaging, which have in turn been shown to predict future stroke, cognitive decline and dementia. While vascular risk factors of CSVD (such as hypertension and obesity) are also associated with CSVD, a complete picture of the predictive relationship between WML, cognitive decline, and blood pressure remains to be determined, as does the role of sex/gender. These inter-relationships are important to determine for improving the diagnosis and treatment of CSVD.

 

In the current study, Beyer et al. will analyse a large emerging dataset from the LIFE-Adult project – a longitudinal, two-wave, population-based study – to ask whether higher blood pressure predicts a greater increase in WML, and whether progression of WML is associated with measures of memory and executive function. In addition, the authors will explore the relationship between abdominal obesity and WML progression, and the extent to which WML progression, and its interaction with vascular risk factors, depends on sex/gender.

 

The Stage 1 manuscript was evaluated over two rounds of in-depth review. Based on detailed responses to the reviewers' comments, the recommender judged that the manuscript met the Stage 1 criteria and therefore awarded in-principle acceptance (IPA).
 
URL to the preregistered Stage 1 protocol: https://osf.io/qkbgj

 

Level of bias control achieved: Level 2. At least some data/evidence that will be used to answer the research question has been accessed and partially observed by the authors, but the authors certify that they have not yet observed the key variables within the data that will be used to answer the research question.

 
List of eligible PCI RR-friendly journals:

 

 

 

1. Beyer, F., Lammer, L., Loeffler, M., Riedel-Heller, S., Villringer, A. & Witte, V. (2023). Investigating the impact of vascular risk factors on the progression of white matter lesions, in principle acceptance of Version 2 by Peer Community in Registered Reports. https://osf.io/qkbgj