Evolving scholarly communication

Nature Publishing Group and the Alliance for Cellular Signaling formed a partnership in 2001 to develop a comprehensive website for researchers in the field of cellular signalling. This website aimed to evolve the traditional form of publication (an article with supplementary information and links) into something that made better use of web and database technologies, and provided more value to scientists. This article gives an overview of the project, some of the thinking behind it, and how it has developed.     

A Publisher Perspective: How One Publisher is Responding to the Changing World of Scholarly Communication

For this talk, Marks was tasked with summarizing the important trends in scholarly publishing in 45 minutes. The speaker reflected on the rapid changes that have occurred in journal publishing, which followed more than 300 years of relatively slow progress. Marks discussed key technology trends such as data curation, Open Access (OA) mandates, and the changes occurring in the global landscape of scholarly communications and library budgets. Wolters Kluwer Health has been responding to these trends with new publishing experiments including a Platinum OA model in emerging markets. Marks discussed the ways that publishers and libraries need to alter their traditional practices and instill a focus on their customers and communities.     

How We Used to Build the Future: 30 Years of Collection Development Trends

This session highlighted trends in continuing resource collections and collection management throughout the 30-year period from 1985 through 2015. Electronic resources became available in the 1990s and grew in prevalence from the 2000s through the present, changing the make-up of library collections and also how libraries measure collections and collection usage. Two librarians and two vendors shared their perspectives on these changes in collection development, describing how library collections now contain a combination of older formats and older ways of collecting data, and new, electronic content and automated ways of collecting and disseminating data about collections.     

Explaining the substantial inter-domain and over-time correlations in student achievement: the importance of stable student attributes

Multi-domain and longitudinal studies of student achievement routinely find moderate to strong correlations across achievement domains and even stronger within-domain correlations over time. The purpose of this study is to examine the sources of these patterns analysing student achievement in 5 domains across Years 3, 5 and 7. The analysis is of longitudinal population data of over 22,000 students and utilizes fixed-effects models to incorporate stable general and domain-specific latent factors. These latent factors correspond to a general cognitive-ability-like factor and specific aptitudes in particular, or types of, subject areas. The preferred model incorporates both general and domain-specific latent factors with stronger effects for the general factor, although the domain-specific factors are particularly strong for spelling and numeracy. When taking into account general and domain-specific latent factors, the effects of student’s socioeconomic status (SES) and school SES are trivial.     

Using Statistical Control Charts to Analyze Data from Student Evaluations of Teaching

In this paper, a method for analyzing data from student evaluations of teaching is presented. The first step of the process requires development of a regression model for teacher's summary rating as a function of student's expected grade. Then, two‐sigma control charts for individual evaluation scores (section averages) and residuals from the regression model are used to identify both excellent and poor outcomes. The performance of an individual whose scores are out of control on both charts cannot be explained by expected grade and therefore is worthy of note.