scholarly journals Funding Research Data Infrastructures: Funding Criteria in Grant Peer Review

2020 ◽  
Author(s):  
Richard Heidler ◽  
Publications ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 14
Author(s):  
Eirini Delikoura ◽  
Dimitrios Kouis

Recently significant initiatives have been launched for the dissemination of Open Access as part of the Open Science movement. Nevertheless, two other major pillars of Open Science such as Open Research Data (ORD) and Open Peer Review (OPR) are still in an early stage of development among the communities of researchers and stakeholders. The present study sought to unveil the perceptions of a medical and health sciences community about these issues. Through the investigation of researchers` attitudes, valuable conclusions can be drawn, especially in the field of medicine and health sciences, where an explosive growth of scientific publishing exists. A quantitative survey was conducted based on a structured questionnaire, with 179 valid responses. The participants in the survey agreed with the Open Peer Review principles. However, they ignored basic terms like FAIR (Findable, Accessible, Interoperable, and Reusable) and appeared incentivized to permit the exploitation of their data. Regarding Open Peer Review (OPR), participants expressed their agreement, implying their support for a trustworthy evaluation system. Conclusively, researchers need to receive proper training for both Open Research Data principles and Open Peer Review processes which combined with a reformed evaluation system will enable them to take full advantage of the opportunities that arise from the new scholarly publishing and communication landscape.


2012 ◽  
Vol 2 (6) ◽  
pp. 221
Author(s):  
Ibrahim Yasar Kazu ◽  
Emine Bozu

This purpose of this study is to determine perception of students about implementation of 5E teaching model, one of the applications of constructivist approach in classroom environment, in vocational schools. For this purpose a 32-question survey was administered. 631 students were surveyed, including 227 male, 404 female studentsof 13 different programmes in Tunceli Vocational School of Tunceli University during the 2011-2012 academic year. Average, t-test, standard deviation, frequency and percentage distribution were used for the analysis of the research data. According to the results of the study, significant variations by gender were detected in 6 items, including “Supporting learning by revealing pre-knowledge”, “Defining the wrong points in the developed hypotheses ”, “Considering as unnecessary the instructor’s encouragement tolearn”, “Listening to the explanations of my friends”, “Giving opportunity for peer-review among students” and “Giving answers to questions with admissible evidences”. Affirming with their replies, the students revealed the applicability of the model. However further studies are necessary to see the implementation of the phases of the 5E model respectively, and it is considered that different researches should be performed with the purpose ofobserving that necessarypre-learning for each phase has been carried out.


Author(s):  
Jadranka Stojanovski

>> See video of presentation (28 min.) The primary goal of scholarly communication is improving human knowledge and sharing is the key to achieve this goal: sharing ideas, sharing methodologies, sharing of results, sharing data, information and knowledge. Although the concept of sharing applies to all phases of scholarly communication, most often the only visible part is the final publication, with the journal article as a most common type. The traditional characteristics of the present journals allow only limited possibilities for sharing the knowledge. Basic functions, registration, dissemination, certification, and storage, are still present but they are no more effective in the network environment. Registration is too slow, there are various barriers to dissemination, certification system has many shortcomings, and used formats are not suitable for the long term preservation and storage. Although the journals today are digital and various powerful technologies are available, they are still focused on their unaltered printed versions. This presentation will discuss possible evolution of journal article to become more compliant with users' needs and to enable “the four R’s of openness” – reuse, redistribute, revise and remix (Hilton, Wiley, Stein, & Johnson, 2010).Several aspects of openness will be presented and discussed: open access, open data, open peer review, open authorship, and open formats. With digital technology which has become indispensable in the creation, collection, processing and storage of data in all scientific disciplines the way of conducting scientific research has changed and the concept of "data-driven science" has been introduced (Ware & Mabe, 2009). Sharing research data enhances the capabilities of reproducing the results, reuse maximizes the value of research, accelerating the advancement of science, ensuring transparency of scientific research, reducing the possibility of bias in the interpretation of results and increasing the credibility of published scientific knowledge. The open peer review can ensure full transparency of the entire process of assessment and help to solve many problems in the present scholarly publishing. Through the process of the open peer review each manuscript can be immediately accessible, reviewers can publicly demonstrate their expertise and could be rewarded, and readers can be encouraged to make comments and views and to become active part of the scholarly communication process. The trend to to describe the author's contribution is also present, which will certainly lead to a reduced number of “ghost”, "guest" and "honorary" authors, and will help to establish better standards for author’s identification.Various web technologies can be used also for the semantic enhancement of the article. One of the most important aspects of semantic publication is the inclusion of the research data, to make them available to the user as an active data that can be manipulated. It is possible to integrate data from external sources, or to merge the data from different resources (data fusion) (Shotton, 2012), so the reader can gain further understanding of the presented data. Additional options provide merging data from different articles, with the addition of the component of time. Other semantic enhancement can include enriched bibliography, interactive graphical presentations, hyperlinks to external resources, tagged text, etc.Instead of mostly static content, journals can offer readers dynamic content that includes multimedia, "living mathematics", “executable articles”, etc. Videos highlighting critical points in the research process, 3D representations of chemical compounds or art works, audio clips with the author's reflections and interviews, and animated simulations or models of ocean currents, tides, temperature and salinity structure, can became soon common part of every research article. The diversity of content and media, operating systems (GNU / Linux, Apple Mac OSX, Microsoft Windows), and software tools that are available to researchers, suggests the usage of the appropriate open formats. Different formats have their advantages and disadvantages and it would be necessary to make multiple formats available, some of which are suitable for "human" reading (including printing on paper), and some for machine reading that can be used by computers without human intervention. Characteristics and possibilities of several formats will be discussed, including XML as the most recommended format, which can enable granulate document structure as well as deliver semantics to the human reader or to the computer.Literature:Hilton, J. I., Wiley, D., Stein, J., & Johnson, A. (2010). The Four R’s of Openness and ALMS Analysis: Frameworks for Open Educational Resources. Open Learning: The Journal of Open, Distance and E-Learning, 25(1), 37–44. doi:10.1080/02680510903482132Shotton, D. (2012). The Five Stars of Online Journal Articles - a Framework for Article Evaluation. D-Lib Magazine, 18(1/2), 1–16. doi:10.1045/january2012-shottonWare, M., & Mabe, M. (2009). The stm report (p. 68).


2021 ◽  
Author(s):  
Simon Jirka ◽  
Benedikt Gräler ◽  
Matthes Rieke ◽  
Christian Autermann

<p>For many scientific domains such as hydrology, ocean sciences, geophysics and social sciences, geospatial observations are an important source of information. Scientists conduct extensive measurement campaigns or operate comprehensive monitoring networks to collect data that helps to understand and to model current and past states of complex environment. The variety of data underpinning research stretches from in-situ observations to remote sensing data (e.g., from the European Copernicus programme) and contributes to rapidly increasing large volumes of geospatial data.</p><p>However, with the growing amount of available data, new challenges arise. Within our contribution, we will focus on two specific aspects: On the one hand, we will discuss the specific challenges which result from the large volumes of remote sensing data that have become available for answering scientific questions. For this purpose, we will share practical experiences with the use of cloud infrastructures such as the German platform CODE-DE and will discuss concepts that enable data processing close to the data stores. On the other hand, we will look into the question of interoperability in order to facilitate the integration and collaborative use of data from different sources. For this aspect, we will give special consideration to the currently emerging new generation of standards of the Open Geospatial Consortium (OGC) and will discuss how specifications such as the OGC API for Processes can help to provide flexible processing capabilities directly within Cloud-based research data infrastructures.</p>


2013 ◽  
Vol 12 (0) ◽  
pp. 71-90 ◽  
Author(s):  
Costantino Thanos

Author(s):  
Martin Thomas Horsch ◽  
Silvia Chiacchiera ◽  
Welchy Leite Cavalcanti ◽  
Björn Schembera

AbstractThis chapter introduces metadata models as a semantic technology for knowledge representation to describe selected aspects of a research asset. The process of building a hierarchical metadata model is reenacted in this chapter and highlighted by the example of EngMeta. Moreover, an overview on data infrastructures is given, the general architecture and functions are disscussed, and multiple examples of data infrastructures in materials modelling are given.


PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261622
Author(s):  
Lisa Z. Scheifele ◽  
Nikolaos Tsotakos ◽  
Michael J. Wolyniak

The skill of analyzing and interpreting research data is central to the scientific process, yet it is one of the hardest skills for students to master. While instructors can coach students through the analysis of data that they have either generated themselves or obtained from published articles, the burgeoning availability of preprint articles provides a new potential pedagogical tool. We developed a new method in which students use a cognitive apprenticeship model to uncover how experts analyzed a paper and compare the professional’s cognitive approach to their own. Specifically, students first critique research data themselves and then identify changes between the preprint and final versions of the paper that were likely the results of peer review. From this activity, students reported diverse insights into the processes of data presentation, peer review, and scientific publishing. Analysis of preprint articles is therefore a valuable new tool to strengthen students’ information literacy and understanding of the process of science.


2017 ◽  
Vol 6 (2) ◽  
pp. e1114 ◽  
Author(s):  
Heather Soyka ◽  
◽  
Amber Budden ◽  
Viv Hutchison ◽  
David Bloom ◽  
...  

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