Introduction to SeamlessAccess

This paper provides a general introduction to the SeamlessAccess (SA) initiative, covering the following four topics: Why are we here? A recap of why was SA created and the history of this initiative to date; How does it work? A walk through how Federated Authentication and SA work, so you are familiar with some of the technical terms and we can build on that knowledge when we address privacy and security; What is the current status? An update on the status of this initiative; How do I participate? Information on how you can participate to deliver more seamless access to your users.

Individuation through infrastructure: Get Full Text Research, data extraction and the academic publishing oligopoly

PurposeThis article explores the recent turn within academic publishing towards ‘seamless access’, an approach to content provision that ensures users do not have to continually authenticate in order to access journal content.Design/methodology/approachThrough a critical exploration of Get Full Text Research, a service developed collaboratively by five of the world's largest academic publishers to provide such seamless access to academic research, the article shows how publishers are seeking to control the ways in which readers access publications in order to trace, control and ultimately monetise user interactions on their platforms.FindingsTheorised as a process of individuation through infrastructure, the article reveals how publishers are attempting an ontological shift to position the individual, quantifiable researcher, rather than the published content, at the centre of the scholarly communication universe.Originality/valueThe implications of the shift towards individuation are revealed as part of a broader trend in scholarly communication infrastructure towards data extraction, mirroring a trend within digital capitalism more generally.

A Semi-Implicit Compressible Model for Atmospheric Flows with Seamless Access to Soundproof and Hydrostatic Dynamics

When written in conservation form for mass, momentum, and density-weighted potential temperature, and with Exner pressure in the momentum equation, the pseudoincompressible model and the hydrostatic model only differ from the full compressible equations by some additive terms. This structural proximity is transferred here to a numerical discretization providing seamless access to all three analytical models. The semi-implicit second-order scheme discretizes the rotating compressible equations by evolving full variables, and, optionally, with two auxiliary fields that facilitate the construction of an implicit pressure equation. Time steps are constrained by the advection speed only as a result. Borrowing ideas on forward-in-time differencing, the algorithm reframes the authors’ previously proposed schemes into a sequence of implicit midpoint step, advection step, and implicit trapezoidal step. Compared with existing approaches, results on benchmarks of nonhydrostatic- and hydrostatic-scale dynamics are competitive. The tests include a new planetary-scale gravity wave test that highlights the scheme’s ability to run with large time steps and to access multiple models. The advancement represents a sizeable step toward generalizing the authors’ acoustics-balanced initialization strategy to also cover the hydrostatic case in the framework of an all-scale blended multimodel solver.

A geoprocessing modelling interoperable framework for AgriGIS using open data and open standards

We retrace the construction of AgriGIS framework between multiple disciplines around a common objective of facilitating research on model simulations for sustainable food security. The geospatial media enabling multidisciplinary research in crop modelling but also supporting new types of hypothesis and analysis, is described with interoperability principles and seamless access and sharing for data, metadata and processing models. Designing the platform achieving this main objective generated a transdisciplinary vision of modelling and forecasting for sustainable agriculture.

A geoprocessing modelling interoperable framework for AgriGIS using open data and open standards

We retrace the construction of AgriGIS framework between multiple disciplines around a common objective of facilitating research on model simulations for sustainable food security. The geospatial media enabling multidisciplinary research in crop modelling but also supporting new types of hypothesis and analysis, is described with interoperability principles and seamless access and sharing for data, metadata and processing models. Designing the platform achieving this main objective generated a transdisciplinary vision of modelling and forecasting for sustainable agriculture.