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5 results for “research support services”
Dataset for: Developing research data management services and support for researchers: a mixed methods study
<p><strong>Overview</strong></p> <p>This dataset contains the raw data for the manuscript: <br> Perrier L, Barnes L. Developing research data management services and support for researchers: a mixed methods study. Partnership. 2018;13(1). doi: doi.org/10.21083/partnership.v13i1.4115.</p> <p>Full-text available at: <a href="https://journal.lib.uoguelph.ca/index.php/perj/article/view/4115/4202">https://journal.lib.uoguelph.ca/index.php/perj/article/view/4115/4202</a></p> <p><strong>Data and Documentation Files</strong></p> <p>Five files make up the dataset: </p> <ol> <li>Coding Scheme: RDMServicesSupport_Codes.txt</li> <li>Transcript, Focus Group 01 (anonymized): RDMServicesSupport_FocusGroup01.pdf</li> <li>Transcript, Focus Group 02 (anonymized): RDMServicesSupport_FocusGroup02.pdf</li> <li>Transcript, Focus Group 03 (anonymized): RDMServicesSupport_FocusGroup03.pdf</li> <li>Transcript, Focus Group 04 (anonymized): RDMServicesSupport_FocusGroup04.pdf</li> </ol> <p>Contact: Laure Perrier: <a href="https://journal.lib.uoguelph.ca/index.php/perj/article/view/4115/4202">orcid.org/0000-0001-9941-7129</a></p>
Digital Scholarship services and supports - an overview from Irish Research and National Libraries - Data with Comments
<p>This dataset contains survey data with comments (cleaned, direct references to institutions removed) and broken down by survey question sections. Some of the data has been converted to counts where it was used to generate the charts.</p> <p>The data is the output of a 2018 CONUL (Ireland’s consortium of research and national libraries) survey focusing on Digital Scholarship services and supports from a Irish Research and National Library perspective.</p>
Supplementary material 1 from: Scaccia N, Günther T, Lopez de Abechuco E, Filter M (2021) The Glossaryfication Web Service: an automated glossary creation tool to support the One Health community. Research Ideas and Outcomes 7: e70183. https://doi.org/10.3897/rio.7.e70183
The Glossaryfication Web Service: an automated glossary creation tool to support the One Health community
Figure 2 from: Scaccia N, Günther T, Lopez de Abechuco E, Filter M (2021) The Glossaryfication Web Service: an automated glossary creation tool to support the One Health community. Research Ideas and Outcomes 7: e70183. https://doi.org/10.3897/rio.7.e70183
Figure 2 A, a screenshot of the GWS KNIME workflow. There are 5 steps within the data processing workflow, which are described in the text. The first and the last green boxes of the workflow, designed with KNIME WebPortal extension, contain so-called "Components" that provide a workflow-specific web user interface that can also be triggered by the KNIME Server. In this way, the GWS KNIME workflow becomes available as a fully functional web service in the KNIME WebPortal. B, a screenshot of the KNIME's Text Processing extension nodes wrapped up into a metanode.
Figure 1 from: Scaccia N, Günther T, Lopez de Abechuco E, Filter M (2021) The Glossaryfication Web Service: an automated glossary creation tool to support the One Health community. Research Ideas and Outcomes 7: e70183. https://doi.org/10.3897/rio.7.e70183
Figure 1 A, a screenshot of the GWS start page. B and C, output sections of the service. Specifically, B, number of exact terms and associated definitions found and, a tag cloud outcome; C, downloadable table of identified terms and definitions with term frequency, sector classification and reference. Through the GWS, end-users can upload their own file (2, A) and select which of the supported glossary(ies) should be searched through (1, A). Clicking "Next" (3, A), the GWS displays the results in an interactive table within the dashboard providing also the number of occurrences for each term in the user's document next to the identified definitions (4, B) and the tag cloud (5, B). The different colours for the terms in the tag cloud refer to different types of matches: exact matches in green, inexact matches in yellow and non-matching terms in grey. Afterwards, scrolling down the dashboard view (image C), the user has the possibility to download directly different tables (6, C) in Excel format. These options are: i) download the table with all the matches found, ii) download the exact-matches table or iii) download the inexact-matches table (6, C). Furthermore, if only a few terms with appropriate definitions are needed, the end-user can download those specific terms checking the corresponding checkboxes (7, C) and then clicking "Next" at the bottom of the dashboard page (8, C).
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