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UK Biobank is a health resource with data from over 500,000 adults. The cognitive assessment in UK Biobank is brief and bespoke, and is administered without supervision on a touchscreen computer. Psychometric information on the UK Biobank cognitive tests are limited. Despite the non-standard nature of these tests and the limited psychometric information, the UK Biobank cognitive data have been used in numerous scientific publications. The present study examined the validity and short-term test-retest reliability of the UK Biobank cognitive tests. A sample of 160 participants (mean age = 62.59, SD = 10.24) was recruited who completed the UK Biobank cognitive assessment and a range of well-validated cognitive tests ('reference tests'). Fifty-two participants returned 4 weeks later to repeat the UK Biobank tests. Correlations were calculated between UK Biobank tests and reference tests. Two measures of general cognitive ability were created by entering scores on the UK Biobank cognitive tests, and scores on the reference tests, respectively, into separate principal component analyses and saving scores on the first principal component. Four-week test-retest correlations were calculated for UK Biobank tests. UK Biobank cognitive tests showed a range of correlations with their respective reference tests, i.e. those tests that are thought to assess the same underlying cognitive ability (mean Pearson r = 0.53, range = 0.22 to 0.83, p≤.005). The measure of general cognitive ability based on the UK Biobank cognitive tests correlated at r = 0.83 (p < .001) with a measure of general cognitive ability created using the reference tests. Four-week test-retest reliability of the UK Biobank tests were moderate-to-high (mean Pearson r = 0.55, range = 0.40 to 0.89, p≤.003). Despite the brief, non-standard nature of the UK Biobank cognitive tests, some tests showed substantial concurrent validity and test-retest reliability. These psychometric results provide currently-lacking information on the validity of the UK Biobank cognitive tests.

Engagement with scientific manuscripts is frequently facilitated by Twitter and other social media platforms. As such, the demographics of a paper's social media audience provide a wealth of information about how scholarly research is transmitted, consumed, and interpreted by online communities. By paying attention to public perceptions of their publications, scientists can learn whether their research is stimulating positive scholarly and public thought. They can also become aware of potentially negative patterns of interest from groups that misinterpret their work in harmful ways, either willfully or unintentionally, and devise strategies for altering their messaging to mitigate these impacts. In this study, we collected 331,696 Twitter posts referencing 1,800 highly tweeted bioRxiv preprints and leveraged topic modeling to infer the characteristics of various communities engaging with each preprint on Twitter. We agnostically learned the characteristics of these audience sectors from keywords each user's followers provide in their Twitter biographies. We estimate that 96% of the preprints analyzed are dominated by academic audiences on Twitter, suggesting that social media attention does not always correspond to greater public exposure. We further demonstrate how our audience segmentation method can quantify the level of interest from nonspecialist audience sectors such as mental health advocates, dog lovers, video game developers, vegans, bitcoin investors, conspiracy theorists, journalists, religious groups, and political constituencies. Surprisingly, we also found that 10% of the preprints analyzed have sizable (>5%) audience sectors that are associated with right-wing white nationalist communities. Although none of these preprints appear to intentionally espouse any right-wing extremist messages, cases exist in which extremist appropriation comprises more than 50% of the tweets referencing a given preprint. These results present unique opportunities for improving and contextualizing the public discourse surrounding scientific research.

Failures in implementation of data sharing projects have eroded public trust. In the wake of NHS England’s decision to close down its care.data programme, Tjeerd-Pieter van Staa and colleagues examine how we can do better

As of September 13, 2005, the International Committee of Medical Journal Editors has required that all trials submitted for publication be registered in a public database. This study examines the records registered in ClinicalTrials.gov from May 11 to October 11, 2005. The number of trials in the database approximately doubled, and the information about the trials became more specific. As of September 13, 2005, the International Committee of Medical Journal Editors required that all trials submitted for publication be registered in a public database. This study examines the records registered in ClinicalTrials.gov from May to October 2005. Concern about previously undisclosed safety problems with drugs such as paroxetine (Paxil, GlaxoSmithKline) and rofecoxib (Vioxx, Merck) has increased the public's desire for more complete information about clinical research studies. 1 , 2 The provision of basic information about clinical trial protocols in a publicly accessible registry and the public identification of all trials, whether or not their results are subsequently published, have been advocated as ways to address this issue. 3 – 6 Numerous groups have called for comprehensive registration by issuing statements or convening meetings to discuss policy and implementation details. 7 – 15 In the United States, the Food and Drug Administration (FDA) . . .

The amount of scientific data is doubling every year. Szalay and Gray discuss how scientific methods are evolving from paper notebooks to huge online databases.

Objective: To develop a basic pain data set (International Spinal Cord Injury Basic Pain Data Set, ISCIPDS:B) within the framework of the International spinal cord injury (SCI) data sets that would facilitate consistent collection and reporting of pain in the SCI population. Setting: International. Methods: The ISCIPDS:B was developed by a working group consisting of individuals with published evidence of expertise in SCI-related pain regarding taxonomy, psychophysics, psychology, epidemiology and assessment, and one representative of the Executive Committee of the International SCI Standards and Data Sets. The members were appointed by four major organizations with an interest in SCI-related pain (International Spinal Cord Society, ISCoS; American Spinal Injury Association, ASIA; American Pain Society, APS and International Association for the Study of Pain, IASP). The initial ISCIPDS:B was revised based on suggestions from members of the Executive Committee of the International SCI Standards and Data Sets, the ISCoS Scientific Committee, ASIA and APS Boards, and the Neuropathic Pain Special Interest Group of the IASP, individual reviewers and societies and the ISCoS Council. Results: The final ISCIPDS:B contains core questions about clinically relevant information concerning SCI-related pain that can be collected by health-care professionals with expertise in SCI in various clinical settings. The questions concern pain severity, physical and emotional function and include a pain-intensity rating, a pain classification and questions related to the temporal pattern of pain for each specific pain problem. The impact of pain on physical, social and emotional function, and sleep is evaluated for each pain.

Life history variables such as the age at first reproduction and the interval between consecutive births are measures of investment in growth and reproduction in a particular population or species. As such they allow for meaningful comparisons of the speed of growth and reproduction between species and between larger taxa. Especially in primates such life history research has far reaching implications and has led for instance to the \"grandmother hypothesis\". Other links have been proposed with respect to dietary adaptations: Because protein is essential for growth and one of the primary sources of protein, leaves, occurs much less seasonally than fruits, it has been predicted that folivorous primates should grow faster compared to frugivorous ones. However, when comparing folivorous Asian colobines with frugivorous Asian macaques we recently documented a longer, instead of a shorter gestation length in folivores while age at first reproduction and interbirth interval did not differ. This supports earlier findings for Malagasy lemurs in which all life history variables tested were significantly longer in folivores compared to frugivores. Wondering why these trends were not apparent sooner, we tried to reconstruct our results for Asian primates with data from four popular life history compilations. However, this attempt failed; even the basic, allometric relationship with adult female body mass that is typical for life history variables could not be recovered. This negative result hints at severe problems with data quality. Here we show that data quality can be improved significantly by standardizing the variables and by controlling for factors such as nutritional conditions or infant mortality. Ideally, in the future, revised primate life history data should be collated in a central database accessible to everybody. In the long run such an initiative should be expanded to include all mammalian species.

The diverse ways in which data are collected and reported in clinical studies make it hard to query across data sets, pool and share data, or integrate data for multi-trial analyses to gain new scientific insights. Use of standard data formats can solve these problems. Children with muscular dystrophy and their families make sacrifices to engage in clinical research studies, providing valuable data they expect will contribute to the discovery of a cure, although they know it may not be found in time to help them. This message was emphasized at a recent meeting organized by the Institute of Medicine, where clinical investigators and study sponsors were implored to share research data to fulfill their moral obligation to maximize the chances that patients' contributions translate into therapeutic advances. The urgent need to build collaborative networks dedicated to data-sharing principles was also underlined at a recent . . .

The PDB has created systems for the processing, exchange, query, and distribution of data that will enable many aspects of high throughput structural genomics.The PDB has created systems for the processing, exchange, query, and distribution of data that will enable many aspects of high throughput structural genomics.

A critical component of the Neuroscience Information Framework (NIF) project is a consistent, flexible terminology for describing and retrieving neuroscience-relevant resources. Although the original NIF specification called for a loosely structured controlled vocabulary for describing neuroscience resources, as the NIF system evolved, the requirement for a formally structured ontology for neuroscience with sufficient granularity to describe and access a diverse collection of information became obvious. This requirement led to the NIF standardized (NIFSTD) ontology, a comprehensive collection of common neuroscience domain terminologies woven into an ontologically consistent, unified representation of the biomedical domains typically used to describe neuroscience data (e.g., anatomy, cell types, techniques), as well as digital resources (tools, databases) being created throughout the neuroscience community. NIFSTD builds upon a structure established by the BIRNLex, a lexicon of concepts covering clinical neuroimaging research developed by the Biomedical Informatics Research Network (BIRN) project. Each distinct domain module is represented using the Web Ontology Language (OWL). As much as has been practical, NIFSTD reuses existing community ontologies that cover the required biomedical domains, building the more specific concepts required to annotate NIF resources. By following this principle, an extensive vocabulary was assembled in a relatively short period of time for NIF information annotation, organization, and retrieval, in a form that promotes easy extension and modification. We report here on the structure of the NIFSTD, and its predecessor BIRNLex, the principles followed in its construction and provide examples of its use within NIF.