1,720,969 research outputs found
Illustrations from the Turing Way book dashes
No full textIllustrations created by Scriberia as part of the Turing Way book dashes in Manchester on 17 May 2019 and London on 28 May 2019. They depict a variety of content of the handbook as well as book sprint activities and the Turing Way community in general. All illustrations are provided as .jpg and .svg files.
More information on the book dashes can be found at https://github.com/alan-turing-institute/the-turing-way/tree/master/workshops/book-dash
When using any of the images, please credit it with
"This image was created by Scriberia for The Turing Way community and is used under a CC-BY licence."
We encourage the use and re-use of these images as much as possible. This includes remixing the images, for example changing the colours or merging them together with additional (openly licensed) images. If you create something that others may benefit from, we encourage you to get in touch with the Turing Way team who can update this repository with the images you create.This work was supported by The UKRI Strategic Priorities Fund under the EPSRC Grant EP/T001569/1, particularly the "Tools, Practices and Systems" theme within that grant, and by The Alan Turing Institute under the EPSRC grant EP/N510129/1
Illustrations from The Turing Way: Shared under CC-BY 4.0 for reuse
No full textIllustrations created by Scriberia as part of the Turing Way book dashes and illustration sprints in 2019 (two events in person), 2020 (one event in-person and one online), 2021 (two online), 2022 (Turing-Crick partnership project hybrid sprint, one Book Dash online). They depict a variety of content of the five guides in The Turing Way as well as data science and the community activities of The Turing Way in general. More information on the book dashes can be found at https://the-turing-way.netlify.app/community-handbook/bookdash.html.
When using any of the images, please include the following attribution with the specific DOI as listed on the particular Zenodo page:
This illustration is created by Scriberia with The Turing Way community. Used under a CC-BY 4.0 licence. DOI: 10.5281/zenodo.3332807
You can cite all versions by using the DOI 10.5281/zenodo.3332807. This DOI represents all versions, and will always resolve to the latest one.
Please note that these images are shared here in the original format and size. We use smaller files in The Turing Way guides that you can find in our GitHub repository: https://github.com/alan-turing-institute/the-turing-way/tree/main/book/website/figures.
Individual illustrations are provided as .jpg files and zipped archives of the files are given in .jpg and .pdf (named starting with zz- to keep them at the bottom of the list).
The most recent release have been made in June 2022 with the following zipped archives:
zz-Latest-TheTuringWay-Scriberia-2022-Jun-allJPG-English-text.zip <-- Latest JPG release
zz-Latest-TheTuringWay-Scriberia-2022-Jun-allJPG-without-text.zip <-- Latest JPG release without any text (for reuse purpose)
zz-Latest-TheTuringWay-Scriberia-2022-Jun-allPDF-English-text.zip <-- Latest PDF release
zz-Latest-TheTuringWay-Scriberia-2022-Jun-allPDF-without-text.zip <-- Latest PDF release without any text (for reuse purpose)
Images from the previous Book Dash from May 2019 - November 2021 are shared in the following zipped archives:
zz-TheTuringWay-previous-Scriberia-2022-Jun-AllJPG-English-text.zip
zz-TheTuringWay-previous-Scriberia-2022-Jun-AllPDF-English-text.zip
zz-TheTuringWay-previous-Scriberia-2022-Jun-allJPGs-without-text.zip
zz-TheTuringWay-previous-Scriberia-2022-Jun-allPDFs-without-text.zip
From the previous Book Dashes, we have also released SVG files when available:
zz-TheTuringWay-Scriberia-2019-20-SVG-where-available.zip.
Translating and editing for reusing Images: Zipped archives's names ending with '-without-text.zip' are provided for the latest release that can be translated into languages that you would like to use them in. We encourage the use and re-use of these images as much as possible. This includes remixing the images, for example changing the colours, translating text or merging them together with additional (openly licensed) images. If you create something that others may benefit from, we encourage you to contribute your image back to The Turing Way. Please get in touch with the team members by emailing [email protected] who can help you update this repository with the images you create.
If you'd like to change the colours of the image to align with other elements of your presentation, Turing Way community member Alex Chan has written a guide for changing the dominant colour in an image which we hope is helpful.This work was supported by The UKRI Strategic Priorities Fund under the EPSRC Grant EP/T001569/1, particularly the "Tools, Practices and Systems" theme within that grant, and by The Alan Turing Institute under the EPSRC grant EP/N510129/1
The Turing Way: A handbook for reproducible, ethical and collaborative research
No full textThe Turing Way is an open source community-driven guide to reproducible, ethical, inclusive and collaborative data science. The Turing Way book is collaboratively developed by its diverse community of researchers, learners, educators, and other stakeholders.
The Turing Way project is openly developed and any and all questions, comments and recommendations are welcome at our github repository: https://github.com/alan-turing-institute/the-turing-way. In 2020, the project underwent a major overhaul categorising chapters into 5 guides on reproducible research, project design, collaboration, communication and ethical research. Additionally, we added a community handbook to document all the practices designed and implemented towards the development of the project and community.
This release in 2021 includes additional chapters developed by our contributors across five guides and the community handbook. In addition, all the project documents from the project are provided as they appear on The Turing Way GitHub repository including the Zenodo metadata: https://github.com/alan-turing-institute/the-turing-way.
Release log
v1.0.1: Zenodo metadata information and additional chapters
v1.0.0: Five guide expansion of The Turing Way with a community handbook
v0.0.4: Continuous integration chapter merged to master.
v0.0.3: Reproducible environments chapter merged to master.
v0.0.2: Version control chapter merged to master.
v0.0.1: Reproducibility chapter merged to master.
Full Changelog: https://github.com/alan-turing-institute/the-turing-way/compare/v1.0.0...v1.0.1 (Previous release: https://github.com/alan-turing-institute/the-turing-way/compare/v0.0.3...v1.0.0)This work was supported by The UKRI Strategic Priorities Fund under the EPSRC Grant EP/T001569/1, particularly the "Tools, Practices and Systems" theme within that grant, and by The Alan Turing Institute under the EPSRC grant EP/N510129/1
The Turing Way Community Research Update: May 2022
No full textThis presentation shared initial findings and themes from community research within The Turing Way, given as two presentations at Community Share-outs on 20 May 2022.
From the Github issue description of the project: "Over the next number of months, my aim is to get to know The Turing Way community, and the Turing Way project. Because I’m a relative newcomer into the world of open science, this means that I'm not only trying to learn about how and why people contribute to the The Turing Way… but also how and why people participate in open science more broadly. From this project, I hope to develop methodologies and ways of working that could be applicable in other contexts and with other communities (open or closed?). You will hopefully be able to find some of these resources in either the open community building repo (a kind of meta-team at the Alan Turing Institute, composed of other community managers like me!) or in the personal repo I'm making for this project.
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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