1,721,010 research outputs found
LERU Roadmap for Research Data
No full textLERU believes that the era of data-driven research has arrived, and acknowledges the potential for making research data open and available for re-use. Building on LERU’s earlier Roadmap to research publications, the new LERU Roadmap for Research Data explores in particular the benefits of making data open and provides a guide for European universities who wish to embark on this exciting and challenging journey. In a series of chapters, the Roadmap charts a course through a number of issues (e.g. advocacy for the benefits/challenges of sharing and re-using research data, technical infrastructures and standards needed to support this move, the likely costs of such developments, the skills and knowledge needed …) and uses a series of Case Studies to illustrate how research-led universities in LERU are currently tackling issues around data management. The Roadmap ends with a series of recommendations which suggest ways in which researchers, LERU universities, support services and the European Commission can make a contribution
LERU Roadmap for Research Data
No full textLERU believes that the era of data-driven research has arrived, and acknowledges the potential for making research data open and available for re-use. Building on LERU’s earlier Roadmap to research publications, the new LERU Roadmap for Research Data explores in particular the benefits of making data open and provides a guide for European universities who wish to embark on this exciting and challenging journey. In a series of chapters, the Roadmap charts a course through a number of issues (e.g. advocacy for the benefits/challenges of sharing and re-using research data, technical infrastructures and standards needed to support this move, the likely costs of such developments, the skills and knowledge needed …) and uses a series of Case Studies to illustrate how research-led universities in LERU are currently tackling issues around data management. The Roadmap ends with a series of recommendations which suggest ways in which researchers, LERU universities, support services and the European Commission can make a contribution
Results from the RDM Survey - LEARN project (June 2016)
No full textFirst data obtained from the open survey developed by the LEARN project (http://www.learn-rdm.eu/) as a self-assessment tool to assist institutions discover how ready they are for managing research data. The survey is based on the issues posed to institutions by the LERU Roadmap for Research Data published at the end of 2013, and available at: http://www.learn-rdm.eu/material/leru_roadmap_for_research_data
The survey has thirteen questions addressing the main elements to be taken into account in developing an institutional strategy for research data management. Each question has three possible answers representing green, yellow or red light. The more ‘green light’ responses recorded, the readier an institution probably is for managing its research data.
The survey is available in English at http://learn-rdm.eu/en/rdm-readiness-survey/ and in Spanish at http://learn-rdm.eu/encuesta-rdm/The LEARN project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 65413
Final Results from the RDM Survey - LEARN project (June 2017)
No full textData obtained from the open survey developed by the LEARN project (http://www.learn-rdm.eu/) as a self-assessment tool to assist institutions discover how ready they are for managing research data. This dataset replaces the previous ones published at http://doi.org/10.5281/zenodo.61903 and http://doi.org/10.5281/zenodo.290635. The survey is based on the issues posed to institutions by the LERU Roadmap for Research Data published at the end of 2013, and available at: http://www.learn-rdm.eu/material/leru_roadmap_for_research_data
The survey has thirteen questions addressing the main elements to be taken into account in developing an institutional strategy for research data management. Each question has three possible answers representing green, yellow or red light. The more ‘green light’ responses recorded, the readier an institution probably is for managing its research data.
The survey is available in English at http://learn-rdm.eu/en/rdm-readiness-survey/ and in Spanish at http://learn-rdm.eu/encuesta-rdm
Results from the RDM Survey - LEARN project (December 2016)
No full textData obtained from the open survey developed by the LEARN project (http://www.learn-rdm.eu/) as a self-assessment tool to assist institutions discover how ready they are for managing research data. This dataset replaces the first one published at http://doi.org/10.5281/zenodo.61903. The survey is based on the issues posed to institutions by the LERU Roadmap for Research Data published at the end of 2013, and available at: http://www.learn-rdm.eu/material/leru_roadmap_for_research_data
The survey has thirteen questions addressing the main elements to be taken into account in developing an institutional strategy for research data management. Each question has three possible answers representing green, yellow or red light. The more ‘green light’ responses recorded, the readier an institution probably is for managing its research data.
The survey is available in English at http://learn-rdm.eu/en/rdm-readiness-survey/ and in Spanish at http://learn-rdm.eu/encuesta-rdm/The LEARN project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 65413
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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