martes, 7 de abril de 2015

Medición y magnitud del bullying en Perú / Measurement and magnitude of bullying in Peru

Sr. Editor. El bullying es un problema de salud pública que incluye a tres actores: la víctima, el victimario/ agresor y el observador, y es un hecho que está cada vez más presente en nuestra sociedad, pues se discute sus implicancias en escenarios de salud, educación y hasta en la prensa. Sin embargo, la información científica disponible sobre la magnitud del bullying en el Perú (Tabla 1) muestra prevalencias bastante elevadas y hasta alarmantes, por lo que es válido preguntarse si es que el bullying en el Perú se está midiendo de manera correcta.
Autor: Carla Cobián-Lezama; Ayar Nizama-Vía; David Ramos-Aliaga; Percy Mayta-Tristán
Fuente: Revista Peruana de Medicina Experimental y Salud Pública  (2015)


lunes, 6 de abril de 2015

Prevalence and use of Twitter among scholars

Poster describing the results of a study examining Twitter use among a sample of 8,826 academics from 5 universities.
Source: Figshare



The year of open data mandates

Open access and open data are becoming more prominent on the global research agenda. Funders are increasingly requiring grantees to deposit their raw research data in appropriate public archives or stores in order to facilitate the validation of results and further work by other researchers. According to the JISC and RLUK funded Sherpa Juliet site, globally there are now 34 funders who require data archiving and 16 who encourage it.

While the rise of open access has fundamentally changed the academic publishing landscape, the policies around data are reigniting the conversation around what universities can and should be doing to protect the assets generated at their institution. The main difference between an open access and open data policy is that there is not already a precedent or status quo of how academia deals with the dissemination of research that is not in the form of a traditional ‘paper’ publication.
Source: Figshare



"The rise of the ‘Data Journal"

Recently, we noted that 2015 seems to be the year that funders get serious about academic data. With the emergence of open data mandates, we are now talking about ‘when’, not ‘if’, the majority of academic outputs will live openly on the web. Funders, governments, and institutions are already making preparations for how this content should be best managed and preserved. But if we think about it, the three stakeholders mentioned above have not controlled the dissemination of content for the last 350 years. This has been the remit of academic publishers.

The last wave of funder mandates around open access have meant that there are some fundamental changes in the business models around academic publishing. This begs the question as to whether publishers can serve as the disseminators of academic data too. You may not be aware but publishers have been steadily releasing data journals with increasing frequency over the last 5 years. The most recent of which being Elsevier’s Data in Brief.
Source: Figshare



Assessing the research potential of access to clinical trial data

Access to the data generated by clinical trials is key to realising the full benefits of trials of new health interventions, and a valuable opportunity to generate new insights. There has been much recent discussion of how to maximise the impact of sharing of data from clinical trials, and with our track record of encouraging open access and data sharing, the Wellcome Trust is fully engaged with the issue. To help inform these discussions, we commissionedan independent study to look at research potential of increased access to trial data, and what mechanisms are needed to facilitate it. Will Greenacre, from the Wellcome Trust policy team, discusses the findings…
Clinical trials take place every day all over the world to test the safety and effectiveness of new medicines and other health interventions. Not only are trials central to the development of new treatments, but the data they generate can also be a valuable resource to others – both for testing the existing evidence, and for generating new insights to drive research.