Encodings and Visualisations of Text Processes across Document Borders

-this essay exemplifies first inroads into interfacing a digitally born genetic edition (instanced by Virginia Woolf, “A Sketch of the Past” [1939–41; unfinished and fragmentary]). A basic requirement for digital genetic editing is to establish the records of text variation within individual documents and to concatenate these records in serial progression to trace and represent the genetic text processes across document borders. Coordinating the mark-up of revisional layering in individual documents within one encoding system establishes a synoptic record of the cross-document progression, stratified commonly into levels correlated to the carrier documents. Guidelines for genetic mark-up have been made available in the TEI P5v2 release. Their hands-on application to our sample material has resulted in some detailed critique and suggestions for modification. From capturing and marking-up the textual progression within each individual document of a series, we proceed to securing the continuity of the comprehensive digital record, and thus the permeability of the document border, by way of automatic collation and mark-up of the genetic text movements in the document interstice. The integrated digital record of a text progression across documents thereby effected carries in its mark-up the requisite information to visualise synoptically structured diachronic (genetic) text data under multiple perspectives. The interface visualisation as such must be realised through (sets of) visualisation software. From the construction-in-progress of one such set of modules, the essay demonstrates the design and describes the operation of one modular interface, a Diachronic Slider

Digital Scholarly Editions as Interfaces

The present volume “Digital Scholarly Editions as Interfaces” is the follow-up publication of the same-titled symposium that was held in 2016 at the University of Graz and the twelfth volume of the publication series of the Institute for Documentology and Scholarly Editing (IDE). It is the result of a successful collaboration between members of the Centre for Information Modelling at the University of Graz, the Digital Scholarly Editions Initial Training Network DiXiT, a EC Marie Skłodowska-Curie Action, and the IDE. All articles have undergone a peer reviewing process and are published in Open Access. They document the current state of research on design, application and implications of both user and machine interfaces in the context of digital scholarly editions. The editors of the volume are grateful to the Marie Skłodowska-Curie Actions for enabling not only the symposium in 2016 but also the publication of the present volume with their financial support. Special thanks are also due to the staff of the Centre for Information Modelling, above all Georg Vogeler, who contributed to the successful organisation and completion of the symposium and this volume with their ideas and continuous support. Furthermore we want to thank all authors as well as all peer reviewers for the professional cooperation during the publication process. Last but not least we want to thank the many people involved in creating the present volume: Barbara Bollig (Trier) for language corrections and formal suggestions, Bernhard Assmann and Patrick Sahle (Cologne) for support and advises during the typese ing process, Selina Galka (Graz) for verifying and archiving (archive.org) all referenced URLs in January 2018, Julia Sorouri (Cologne) for the design of the cover as well as the artist Franz Konrad (Graz), who provided his painting “Desktop” (www.franzkonrad.com/gallery/desktop-2008-2010/) as cover image. We hope you enjoy reading and get as much intrigued by the topic “Digital Scholarly Editions as Interfaces” as we did

Teaching DH on Raspberry Pis. A Minimal Computing Approach to Digital Pedagogy

In this paper, we propose a 'minimal digital pedagogy' that applyies the principles of Minimal Computing in the classroom. As a working group of ADHO's GO:DH Special Interest Group, Minimal Computing sets out to rethink DH work for areas in the world where factors such as high-end hardware, software, network capacity, power, etc. are not a given, by performing our computational research "under some set of significant constraints" (see: https://go-dh.github.io/mincomp/about/). It is precisely such constraints, we believe, that allow us to get to the fundamentals of the technologies we are using – and to give our students a critical understanding of the tools they are using by building and configuring them from the ground up. This is the setup we have adopted for the Antwerp Summer School in DH – an intensive one-week summer school that aims to teach students the basics of developing and hosting their own digital archives and editions. In the last two years, we have developed a tutorial for deploying a IIIF-compliant image server on a local network of Raspberry Pis (RPi). At the next iteration of the summer school, we want to take this setup one step further by teaching students how develop a full-fledged Digital Scholarly Edition based on those reproductions

IIIFarm. Teaching Image Interoperability on a Raspberry Pi Network of IIIF-Compliant Image Servers.

Abstract of paper 0925 presented at the Digital Humanities Conference 2019 (DH2019), Utrecht , the Netherlands 9-12 July, 2019

Modelling Text-Genetic Relationships

Abstract of paper 0346 presented at the Digital Humanities Conference 2019 (DH2019), Utrecht , the Netherlands 9-12 July, 2019

Modelling Text-Genetic Relationships

Abstract of paper 0346 presented at the Digital Humanities Conference 2019 (DH2019), Utrecht , the Netherlands 9-12 July, 2019

eHealth tools to assess the neurological function for research, in absence of the neurologist – a systematic review, part I (software)

Background: Neurological diseases remain a worldwide concern due to their increasing prevalence and mortality, combined with lack of available treatment, in most cases. Exploring protective and risk factors associated with the development of neurological diseases will allow for improving prevention strategies. However, ascertaining neurological outcomes in population-based studies can be both complex and costly. The application of eHealth tools in research may contribute to lowering the costs and increase accessibility. The aim of this systematic review is to map existing eHealth tools assessing neurological signs and/or symptoms for epidemiological research. Methods: Four search engines (PubMed, Web of Science, Scopus & EBSCOHost) were used to retrieve articles on development, validation, or implementation of eHealth tools to assess neurological signs and/or symptoms. The clinical and technical properties of the software tools were summarised. Due to high numbers, only software tools are presented here.Findings: A total of 42 tools were retrieved. These captured signs and/or symptoms belonging to four neurological domains: cognitive function, motor function, cranial nerves, and gait & coordination. An additional fifth category of composite tools was added. Most of the tools were available in English and were developed for a smartphone device, with remaining tools being available as web-based platforms. Less than half of the captured tools were fully validated, and only approximately half were still active at the time of data collection.Interpretation: The identified tools often presented limitations either due to language barriers or lack of proper validation. Maintenance and durability of most tools was low. The present mapping exercise offers a detailed guide for epidemiologists to identify the most appropriate eHealth tool for their research. Funding: The current study was funded by a PhD position at the University of Groningen. No additional funding was acquired

eHealth tools to assess the neurological function for research, in absence of the neurologist – a systematic review, part I (software)

Background: Neurological diseases remain a worldwide concern due to their increasing prevalence and mortality, combined with lack of available treatment, in most cases. Exploring protective and risk factors associated with the development of neurological diseases will allow for improving prevention strategies. However, ascertaining neurological outcomes in population-based studies can be both complex and costly. The application of eHealth tools in research may contribute to lowering the costs and increase accessibility. The aim of this systematic review is to map existing eHealth tools assessing neurological signs and/or symptoms for epidemiological research. Methods: Four search engines (PubMed, Web of Science, Scopus & EBSCOHost) were used to retrieve articles on development, validation, or implementation of eHealth tools to assess neurological signs and/or symptoms. The clinical and technical properties of the software tools were summarised. Due to high numbers, only software tools are presented here.Findings: A total of 42 tools were retrieved. These captured signs and/or symptoms belonging to four neurological domains: cognitive function, motor function, cranial nerves, and gait & coordination. An additional fifth category of composite tools was added. Most of the tools were available in English and were developed for a smartphone device, with remaining tools being available as web-based platforms. Less than half of the captured tools were fully validated, and only approximately half were still active at the time of data collection.Interpretation: The identified tools often presented limitations either due to language barriers or lack of proper validation. Maintenance and durability of most tools was low. The present mapping exercise offers a detailed guide for epidemiologists to identify the most appropriate eHealth tool for their research. Funding: The current study was funded by a PhD position at the University of Groningen. No additional funding was acquired

eHealth tools to assess the neurological function for research, in absence of the neurologist – a systematic review, part I (software)

Background: Neurological diseases remain a worldwide concern due to their increasing prevalence and mortality, combined with lack of available treatment, in most cases. Exploring protective and risk factors associated with the development of neurological diseases will allow for improving prevention strategies. However, ascertaining neurological outcomes in population-based studies can be both complex and costly. The application of eHealth tools in research may contribute to lowering the costs and increase accessibility. The aim of this systematic review is to map existing eHealth tools assessing neurological signs and/or symptoms for epidemiological research. Methods: Four search engines (PubMed, Web of Science, Scopus & EBSCOHost) were used to retrieve articles on development, validation, or implementation of eHealth tools to assess neurological signs and/or symptoms. The clinical and technical properties of the software tools were summarised. Due to high numbers, only software tools are presented here.Findings: A total of 42 tools were retrieved. These captured signs and/or symptoms belonging to four neurological domains: cognitive function, motor function, cranial nerves, and gait & coordination. An additional fifth category of composite tools was added. Most of the tools were available in English and were developed for a smartphone device, with remaining tools being available as web-based platforms. Less than half of the captured tools were fully validated, and only approximately half were still active at the time of data collection.Interpretation: The identified tools often presented limitations either due to language barriers or lack of proper validation. Maintenance and durability of most tools was low. The present mapping exercise offers a detailed guide for epidemiologists to identify the most appropriate eHealth tool for their research. Funding: The current study was funded by a PhD position at the University of Groningen. No additional funding was acquired

eHealth tools to assess the neurological function for research, in absence of the neurologist – a systematic review, part I (software)

Background: Neurological diseases remain a worldwide concern due to their increasing prevalence and mortality, combined with lack of available treatment, in most cases. Exploring protective and risk factors associated with the development of neurological diseases will allow for improving prevention strategies. However, ascertaining neurological outcomes in population-based studies can be both complex and costly. The application of eHealth tools in research may contribute to lowering the costs and increase accessibility. The aim of this systematic review is to map existing eHealth tools assessing neurological signs and/or symptoms for epidemiological research. Methods: Four search engines (PubMed, Web of Science, Scopus & EBSCOHost) were used to retrieve articles on development, validation, or implementation of eHealth tools to assess neurological signs and/or symptoms. The clinical and technical properties of the software tools were summarised. Due to high numbers, only software tools are presented here.Findings: A total of 42 tools were retrieved. These captured signs and/or symptoms belonging to four neurological domains: cognitive function, motor function, cranial nerves, and gait & coordination. An additional fifth category of composite tools was added. Most of the tools were available in English and were developed for a smartphone device, with remaining tools being available as web-based platforms. Less than half of the captured tools were fully validated, and only approximately half were still active at the time of data collection.Interpretation: The identified tools often presented limitations either due to language barriers or lack of proper validation. Maintenance and durability of most tools was low. The present mapping exercise offers a detailed guide for epidemiologists to identify the most appropriate eHealth tool for their research. Funding: The current study was funded by a PhD position at the University of Groningen. No additional funding was acquired