scholarly journals Commentary on the Integration of Model Sharing and Reproducibility Analysis to Scholarly Publishing Workflow in Computational Biomechanics

2016 ◽  
Vol 63 (10) ◽  
pp. 2080-2085 ◽  
Author(s):  
Ahmet Erdemir ◽  
Trent M. Guess ◽  
Jason P. Halloran ◽  
Luca Modenese ◽  
Jeffrey A. Reinbolt ◽  
...  
2018 ◽  
Vol 140 (2) ◽  
Author(s):  
Ahmet Erdemir ◽  
Peter J. Hunter ◽  
Gerhard A. Holzapfel ◽  
Leslie M. Loew ◽  
John Middleton ◽  
...  

The role of computational modeling for biomechanics research and related clinical care will be increasingly prominent. The biomechanics community has been developing computational models routinely for exploration of the mechanics and mechanobiology of diverse biological structures. As a result, a large array of models, data, and discipline-specific simulation software has emerged to support endeavors in computational biomechanics. Sharing computational models and related data and simulation software has first become a utilitarian interest, and now, it is a necessity. Exchange of models, in support of knowledge exchange provided by scholarly publishing, has important implications. Specifically, model sharing can facilitate assessment of reproducibility in computational biomechanics and can provide an opportunity for repurposing and reuse, and a venue for medical training. The community's desire to investigate biological and biomechanical phenomena crossing multiple systems, scales, and physical domains, also motivates sharing of modeling resources as blending of models developed by domain experts will be a required step for comprehensive simulation studies as well as the enhancement of their rigor and reproducibility. The goal of this paper is to understand current perspectives in the biomechanics community for the sharing of computational models and related resources. Opinions on opportunities, challenges, and pathways to model sharing, particularly as part of the scholarly publishing workflow, were sought. A group of journal editors and a handful of investigators active in computational biomechanics were approached to collect short opinion pieces as a part of a larger effort of the IEEE EMBS Computational Biology and the Physiome Technical Committee to address model reproducibility through publications. A synthesis of these opinion pieces indicates that the community recognizes the necessity and usefulness of model sharing. There is a strong will to facilitate model sharing, and there are corresponding initiatives by the scientific journals. Outside the publishing enterprise, infrastructure to facilitate model sharing in biomechanics exists, and simulation software developers are interested in accommodating the community's needs for sharing of modeling resources. Encouragement for the use of standardized markups, concerns related to quality assurance, acknowledgement of increased burden, and importance of stewardship of resources are noted. In the short-term, it is advisable that the community builds upon recent strategies and experiments with new pathways for continued demonstration of model sharing, its promotion, and its utility. Nonetheless, the need for a long-term strategy to unify approaches in sharing computational models and related resources is acknowledged. Development of a sustainable platform supported by a culture of open model sharing will likely evolve through continued and inclusive discussions bringing all stakeholders at the table, e.g., by possibly establishing a consortium.


2018 ◽  
Author(s):  
Iain Hrynaszkiewicz ◽  
Rebecca Grant

In 2016 the publisher Springer Nature introduced four standard research data policies for its journals, enabling more journals to adopt a data policy appropriate for their discipline and community. These standard policies have been adopted by more than 1,500 journals, and similar initiatives to standardise journal research data policies have since been introduced by other large publishers. To support researchers and editors Springer Nature launched a Research Data Helpdesk, which to October 2017 had received more than 300 enquiries. A large survey of researchers with more than 7000 respondents in 2017 revealed that many researchers need support with data management and curation tasks. In 2017 Springer Nature introduced a pilot service to provide additional support to researchers who wish to make their data available alongside their published articles. This Research Data Support service provides hands-on assistance to researchers in uploading their data to a repository, selecting an appropriate licence, enhancing metadata, and cross-referencing the data and its associated publication. The data curation standards were subject to blinded testing by professional editors, and curated datasets scored much higher for metadata quality and completeness on average. We describe the implementation of – and lessons learned from providing – a third party data deposition and curation service at a large scholarly publisher, which has been used by authors publishing in journals including Nature, and BMC Ecology. We conclude with current and future developments, which extend the Research Data Support service to any published researcher, and to research institutions and conferences, providing opportunities to embed research data management support earlier in the scholarly publishing workflow. This paper was presented at the PV 2018 Conference: Adding value and preserving data.


1975 ◽  
Vol 10 (2) ◽  
pp. 58-58
Author(s):  
Donald Sutherland
Keyword(s):  

1997 ◽  
Vol 22 (3) ◽  
Author(s):  
Michael Jensen

Abstract: Scholarly publishing and access to high-quality information may in fact be threatened, rather than improved, by the revolution in communications, particularly in a fully commercial Internet. The effects of the political revolution in Eastern Europe on scholarship and quality publishing are used as a touchstone of the dangers that occur when naïve revolutionaries make swift changes without fully recognizing the impact upon delicately balanced social institutions such as non-profit organizations. Résumé: La révolution en communications, particulièrement en ce qui regarde un Internet commercialisé, plutôt que d'améliorer l'édition savante et l'accès à de l'information de haute qualité, pourrait en fait poser une menace pour ceux-ci. Cet article examine comment la révolution politique en Europe de l'Est a influé sur la recherche et l'édition de qualité. Il utilise cet exemple pour examiner les dangers que peuvent courir certains révolutionnaires naïfs quand ils instaurent des changements rapides san songer à leur impact sur des institutions sociales à équilibre délicat comme les organisations à but non lucratif.


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