Electronic Publishing in Higher Education: How to design OAI interfaces - Recommendations -

The Open Archives Protocol for Metadata Harvesting (OAI-PMH) allows sharing metadata serving to describe arbitrary objects with others. In addition to a short overview of the protocol the paper on hand contains recommendations for the application of Sets by German data providers and for the proper usage of the metadata elements of Dublin Core (DC). Thereby the target is pursued to ensure an efficient metadata exchange between the different users of the OAI protocol

Visioning change:Co-producing a model of involvement and engagement in research

The involvement of people living with dementia in research has traditionally been located in the realms of 'subject' or 'participant'. However, there has been an increase in demand for greater transparency by academic bidding teams (particularly within the UK) in demonstrating how people with a lived experience have been and will be involved in the research process. Located within the Economic and Social Research Council/National Institute for Health Research (ESRC/NIHR)-funded Neighbourhoods and Dementia Study (2014-2019), led by The University of Manchester (UK), this paper outlines the development of the CO-researcher INvolvement and Engagement in Dementia (COINED) Model, which was co-produced alongside three independent groups of people living with dementia: Open Doors, the Scottish Dementia Working Group and EDUCATE

Multidimensional signals and analytic flexibility : estimating degrees of freedom in human speech analyses

Recent empirical studies have highlighted the large degree of analytic flexibility in data analysis which can lead to substantially different conclusions based on the same data set. Thus, researchers have expressed their concerns that these researcher degrees of freedom might facilitate bias and can lead to claims that do not stand the test of time. Even greater flexibility is to be expected in fields in which the primary data lend themselves to a variety of possible operationalizations. The multidimensional, temporally extended nature of speech constitutes an ideal testing ground for assessing the variability in analytic approaches, which derives not only from aspects of statistical modeling, but also from decisions regarding the quantification of the measured behavior. In the present study, we gave the same speech production data set to 46 teams of researchers and asked them to answer the same research question, resulting in substantial variability in reported effect sizes and their interpretation. Using Bayesian meta-analytic tools, we further find little to no evidence that the observed variability can be explained by analysts' prior beliefs, expertise or the perceived quality of their analyses. In light of this idiosyncratic variability, we recommend that researchers more transparently share details of their analysis, strengthen the link between theoretical construct and quantitative system and calibrate their (un)certainty in their conclusions