TY - JOUR A1 - Brand, Ralf A1 - Nosrat, Sanaz A1 - Späth, Constantin A1 - Timme, Sinika T1 - Using COVID-19 Pandemic as a Prism: A Systematic Review of Methodological Approaches and the Quality of Empirical Studies on Physical Activity Behavior Change JF - Frontiers in Sports and Active Living N2 - Background: The COVID-19 pandemic has highlighted the importance of scientific endeavors. The goal of this systematic review is to evaluate the quality of the research on physical activity (PA) behavior change and its potential to contribute to policy-making processes in the early days of COVID-19 related restrictions. Methods: We conducted a systematic review of methodological quality of current research according to PRISMA guidelines using Pubmed and Web of Science, of articles on PA behavior change that were published within 365 days after COVID-19 was declared a pandemic by the World Health Organization (WHO). Items from the JBI checklist and the AXIS tool were used for additional risk of bias assessment. Evidence mapping is used for better visualization of the main results. Conclusions about the significance of published articles are based on hypotheses on PA behavior change in the light of the COVID-19 pandemic. Results: Among the 1,903 identified articles, there were 36% opinion pieces, 53% empirical studies, and 9% reviews. Of the 332 studies included in the systematic review, 213 used self-report measures to recollect prepandemic behavior in often small convenience samples. Most focused changes in PA volume, whereas changes in PA types were rarely measured. The majority had methodological reporting flaws. Few had very large samples with objective measures using repeated measure design (pre and during the pandemic). In addition to the expected decline in PA duration, these studies show that many of those who were active prepandemic, continued to be active during the pandemic. Conclusions: Research responded quickly at the onset of the pandemic. However, most of the studies lacked robust methodology, and PA behavior change data lacked the accuracy needed to guide policy makers. To improve the field, we propose the implementation of longitudinal cohort studies by larger organizations such as WHO to ease access to data on PA behavior, and suggest those institutions set clear standards for this research. Researchers need to ensure a better fit between the measurement method and the construct being measured, and use both objective and subjective measures where appropriate to complement each other and provide a comprehensive picture of PA behavior. KW - meta-science KW - exercise KW - methods KW - quality KW - study designs KW - standards Y1 - 2022 U6 - https://doi.org/10.3389/fspor.2022.864468 SN - 2624-9367 VL - 4 SP - 1 EP - 17 PB - Frontiers CY - Lausanne, Schweiz ER - TY - JOUR A1 - Khider, D. A1 - Emile-Geay, J. A1 - McKay, N. P. A1 - Gil, Y. A1 - Garijo, D. A1 - Ratnakar, V A1 - Alonso-Garcia, M. A1 - Bertrand, S. A1 - Bothe, O. A1 - Brewer, P. A1 - Bunn, A. A1 - Chevalier, M. A1 - Comas-Bru, L. A1 - Csank, A. A1 - Dassie, E. A1 - DeLong, K. A1 - Felis, T. A1 - Francus, P. A1 - Frappier, A. A1 - Gray, W. A1 - Goring, S. A1 - Jonkers, L. A1 - Kahle, M. A1 - Kaufman, D. A1 - Kehrwald, N. M. A1 - Martrat, B. A1 - McGregor, H. A1 - Richey, J. A1 - Schmittner, A. A1 - Scroxton, N. A1 - Sutherland, E. A1 - Thirumalai, Kaustubh A1 - Allen, K. A1 - Arnaud, F. A1 - Axford, Y. A1 - Barrows, T. A1 - Bazin, L. A1 - Birch, S. E. Pilaar A1 - Bradley, E. A1 - Bregy, J. A1 - Capron, E. A1 - Cartapanis, O. A1 - Chiang, H-W A1 - Cobb, K. M. A1 - Debret, M. A1 - Dommain, Réne A1 - Du, J. A1 - Dyez, K. A1 - Emerick, S. A1 - Erb, M. P. A1 - Falster, G. A1 - Finsinger, W. A1 - Fortier, D. A1 - Gauthier, Nicolas A1 - George, S. A1 - Grimm, E. A1 - Hertzberg, J. A1 - Hibbert, F. A1 - Hillman, A. A1 - Hobbs, W. A1 - Huber, M. A1 - Hughes, A. L. C. A1 - Jaccard, S. A1 - Ruan, J. A1 - Kienast, M. A1 - Konecky, B. A1 - Le Roux, G. A1 - Lyubchich, V A1 - Novello, V. F. A1 - Olaka, L. A1 - Partin, J. W. A1 - Pearce, C. A1 - Phipps, S. J. A1 - Pignol, C. A1 - Piotrowska, N. A1 - Poli, M-S A1 - Prokopenko, A. A1 - Schwanck, F. A1 - Stepanek, C. A1 - Swann, G. E. A. A1 - Telford, R. A1 - Thomas, E. A1 - Thomas, Z. A1 - Truebe, S. A1 - von Gunten, L. A1 - Waite, A. A1 - Weitzel, N. A1 - Wilhelm, B. A1 - Williams, J. A1 - Winstrup, M. A1 - Zhao, N. A1 - Zhou, Y. T1 - PaCTS 1.0: A Crowdsourced Reporting Standard for Paleoclimate Data JF - Paleoceanography and paleoclimatology N2 - The progress of science is tied to the standardization of measurements, instruments, and data. This is especially true in the Big Data age, where analyzing large data volumes critically hinges on the data being standardized. Accordingly, the lack of community-sanctioned data standards in paleoclimatology has largely precluded the benefits of Big Data advances in the field. Building upon recent efforts to standardize the format and terminology of paleoclimate data, this article describes the Paleoclimate Community reporTing Standard (PaCTS), a crowdsourced reporting standard for such data. PaCTS captures which information should be included when reporting paleoclimate data, with the goal of maximizing the reuse value of paleoclimate data sets, particularly for synthesis work and comparison to climate model simulations. Initiated by the LinkedEarth project, the process to elicit a reporting standard involved an international workshop in 2016, various forms of digital community engagement over the next few years, and grassroots working groups. Participants in this process identified important properties across paleoclimate archives, in addition to the reporting of uncertainties and chronologies; they also identified archive-specific properties and distinguished reporting standards for new versus legacy data sets. This work shows that at least 135 respondents overwhelmingly support a drastic increase in the amount of metadata accompanying paleoclimate data sets. Since such goals are at odds with present practices, we discuss a transparent path toward implementing or revising these recommendations in the near future, using both bottom-up and top-down approaches. KW - standards KW - FAIR KW - paleoclimate KW - paleoceanography KW - data KW - best practices Y1 - 2019 U6 - https://doi.org/10.1029/2019PA003632 SN - 2572-4517 SN - 2572-4525 VL - 34 IS - 10 SP - 1570 EP - 1596 PB - American Geophysical Union CY - Washington ER - TY - JOUR A1 - Nickerson, David A1 - Atalag, Koray A1 - de Bono, Bernard A1 - Geiger, Joerg A1 - Goble, Carole A1 - Hollmann, Susanne A1 - Lonien, Joachim A1 - Mueller, Wolfgang A1 - Regierer, Babette A1 - Stanford, Natalie J. A1 - Golebiewski, Martin A1 - Hunter, Peter T1 - The Human Physiome: how standards, software and innovative service infrastructures are providing the building blocks to make it achievable JF - Interface focus N2 - Reconstructing and understanding the Human Physiome virtually is a complex mathematical problem, and a highly demanding computational challenge. Mathematical models spanning from the molecular level through to whole populations of individuals must be integrated, then personalized. This requires interoperability with multiple disparate and geographically separated data sources, and myriad computational software tools. Extracting and producing knowledge from such sources, even when the databases and software are readily available, is a challenging task. Despite the difficulties, researchers must frequently perform these tasks so that available knowledge can be continually integrated into the common framework required to realize the Human Physiome. Software and infrastructures that support the communities that generate these, together with their underlying standards to format, describe and interlink the corresponding data and computer models, are pivotal to the Human Physiome being realized. They provide the foundations for integrating, exchanging and re-using data and models efficiently, and correctly, while also supporting the dissemination of growing knowledge in these forms. In this paper, we explore the standards, software tooling, repositories and infrastructures that support this work, and detail what makes them vital to realizing the Human Physiome. KW - Human Physiome KW - standards KW - repositories KW - service infrastructure KW - reproducible science KW - managing big data Y1 - 2016 U6 - https://doi.org/10.1098/rsfs.2015.0103 SN - 2042-8898 SN - 2042-8901 VL - 6 SP - 57 EP - 61 PB - Royal Society CY - London ER -