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152
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ShareScore release 0.9.0
Dataset results
152 results for “Higher education”
Data set on the Higher-Education Pact in Germany, 2007 - 2020
\begin{tabular}{@{\extracolsep{5pt}} ll} \\[-1.8ex]\hline \hline \\[-1.8ex] Variable & Description \\ \hline \\[-1.8ex] HASC\_1 & State name \\ Nb & State number \\ ccluster & 1 = Western Territorial State, 2 = Eastern State, \\ & 3 = City State \\ Ltype & 1 = Western Territorial State, 2 = Eastern State. \\ ZstA.0717 & Additional entrants (sum 2007 – 2017) to 2005-value \\ zStA.U0717 & Additional entrants a traditional universities \\ zStA.F0717 & Additional entrants a UAS \\ zStA.Fratio0717 & Share of entrants at UAS to total entrants. \\ Ant.StA05 & Enrollment rate 2005 \\ Ant.StA18 & Enrollment rate 2018 \\ RelStVZA05 & Adivsing relationship 2005 \\ RelStVZA18 & Adivsing relationship 2018 \\ GW05 & Share of graduates in the humanities 2005 \\ GW18 & Share of graduates in the humanities 2018 \\ NaWi05 & share of graduates in the natural sciences 2005 \\ NaWi18 & share of graduates in the natural sciences 2018 \\ SRW05 & share of graduates in the social sciences 2005 \\ SRW18 & share of graduates in the social sciences 2018 \\ WandS05 & migration balance 2005 \\ WandS18 & migration balance 2017 \\ \hline \\[-1.8ex] BUMI0717 & federal funds received by the HSP-programme \\ & (sum 2007 – 2018) \\ BUMIzStA0717 & BUMI0717 per additional entrant \\ Einw18 & population size 2018 \\ BUMI.GWP16 & federal funds covering all federal grants-in-aid \\ & in the higher-education field \\ STUD18 & number of students in 2018 \\ zstaeinw & additional entrants per capita \\ deltaantsta & relative change in the enrollment rate \\ deltabetrrel & relative change in the adising relationship \\ deltagw & relative change in the humanities \\ deltanw & relative change in the natural sciences \\ deltasrw & relative change in the social sciences \\ bumieinw & Federal funds (HSP) per capita \\ bumigwp16einw & Overall federal funds per capita \\ bumistud & Federal funds (HSP) per student \\ Prof05 & Number of professors 2005 \\ Prof17 & Number of professors 2017 \\ \hline \\[-1.8ex] \end{tabular}
Figure 3: Percentages of women in the non-atypical academic workforce in a subset of higher education institutions in the United Kingdom by institutional groupings, 2021
<p>This Zenodo entry includes the full data files (.csv and .xlsx) for Figure 3: <em>Percentages of women in the non-atypical academic workforce in a subset of higher education institutions in the United Kingdom by institutional groupings, 2021</em>', included in the manuscript "The Curtin Open Knowledge Initiative: Sharing data on scholarly research performance", authored by members of the Curtin Open Knowledge Initiative (COKI). The analysis is of publicly available data sourced from the United Kingdom Higher Education Statistics Agency (HESA).</p>
AI Platforms Overview for Higher Education
<p>This release includes a detailed table comparing various AI platforms. The table covers:</p> <ul> <li>Focus: Primary applications of each platform.</li> <li>Strengths: Key features and benefits.</li> <li>Uniqueness: Distinctive aspects.</li> <li>Limitations: Notable constraints.</li> </ul> <p>How to Use</p> <ol> <li>Download the attached file.</li> <li>Review the table for a comprehensive comparison.</li> </ol> <p>DOI<br>For more information, visit the DOI page: [10.5281/zenodo.13738758](https://doi.org/10.5281/zenodo.13738758)</p> <p>Contact<br>For any inquiries, contact [bsrinivasan@twu.edu](mailto:bsrinivasan@twu.edu).</p>
Current Applications and Future Prospects of Artificial Intelligence in Higher Medical Education: A Bibliometric Analysis
<p>This dataset supports the study titled <em>"Current Applications and Future Prospects of Artificial Intelligence in Higher Medical Education: A Bibliometric Analysis"</em>. It includes bibliometric data from Web of Science on the use of artificial intelligence in higher medical and pharmaceutical education. The dataset covers relevant literature, keywords, and citation analysis to provide insights into research trends, institutional contributions, and future directions in the field. This data can be valuable for researchers interested in the intersection of AI and medical education, as well as for those conducting further bibliometric analyses.</p>
TOPSIS method application on sustainability indicators of Higher Education Institutions of Brazilian municipalities
<p>TOPSIS method application on sustainability indicators of Higher Education Institutions of Brazilian municipalities</p>
Times Higher Education Latin America Ranking's data, 2016-2019
<p>Top fifty latin american universities's data from Times Higher Education Latin America Ranking, 2016-2019</p>
Dataset for the exploration of data practices in Higher Education
<p>The present dataset contains the results of a survey distributed to all the professoriate of two universities, between January and March 2020.</p> <p>The several variables present in the dataset relate to the professional areas of knowledge and activity; the ongoing data practices in relation to six scales (as published in Raffaghelli. (2019) and theoretically explored in Raffaghelli (2019b); professional learning ecologies relating data practices in teaching and research.</p> <p>The script 1 covers some analysis relating specific scales.</p> <p>Other scripts might be added /welcomed as far as successive analysis are done over the shared data.</p> <p>========</p> <p>Raffaghelli, J. (2019) Delphi Study to validate the survey exploring academic awareness and engagement with data-driven practices. Zenodo. https://doi.org/10.5281/zenodo.3581290</p> <p>Raffaghelli, J. E. (2019b). Developing a framework for educators’ data literacy in the European context: Proposal, Implications and debate. In <em>International Conference on Education and New Learning Technologies EDULEARN</em> (pp. 10520–10530). Palma de Mallorca: IATED. https://doi.org/10.21125/edulearn.2019.2655</p>
DATASET SPARC Europe Open Education in European Libraries of Higher Education Survey 2022
<p>This is the anonymised dataset for the 2022 edition of the SPARC Europe Open Education Survey amongst Higher Education libraries in Europe.</p>
Romanian Civil State Higher Education Institutions Index
<p>OpenAlex data scrape for all the Romanian Civil State Higher Education Institutions, as per https://www.edu.ro/institutii%20inv_superior%20de%20stat%20civile (November 19, 2022 archived version: https://web.archive.org/web/20221119104847/https%3A%2F%2Fwww.edu.ro%2Finstitutii%2520inv_superior%2520de%2520stat%2520civile)</p>
Romanian Accredited Private Higher Education Institutions Index
<p>OpenAlex data scrape for all the Romanian Accredited Private Higher Education Institutions, as per https://www.edu.ro/institutii%20de%20inv_superior%20particulare%20acreditate (November 19, 2022 archived version: https://web.archive.org/web/20221119194024/https%3A%2F%2Fwww.edu.ro%2Finstitutii%2520de%2520inv_superior%2520particulare%2520acreditate)</p>
Romanian Higher Education Institutions with a Military Profile Index
<p>OpenAlex data scrape for all the Romanian Higher Education Institutions with a Military Profile, as per https://www.edu.ro/institutii%20inv_superior%20de%20stat%20militare (November 19, 2022 archived version: https://web.archive.org/web/20221119194032/https%3A%2F%2Fwww.edu.ro%2Finstitutii%2520inv_superior%2520de%2520stat%2520militare)</p>
Romanian Higher Education Institutions Index
<p>Aggregated index of all the Romanian Higher Education Institutions:</p> <ul> <li> <p>Romanian Civil State Higher Education Institutions Index (https://zenodo.org/record/7337498)</p> </li> <li> <p>Romanian Higher Education Institutions with a Military Profile Index (https://zenodo.org/record/7339338)</p> </li> <li> <p>Romanian Accredited Private Higher Education Institutions Index (https://zenodo.org/record/7339344)</p> </li> </ul>
E-Learning Readiness In Higher Education Institutions In Nigeria during the COVID-19 Pandemic
<p>Data set for the paper " E-Learning Readiness In Higher Education Institutions In Nigeria during the COVID-19 Pandemic"</p>
Data from: Work-Life Conflict Among Higher Education Institution Workers' During COVID-19: A Demands-Resources Approach
<p>Dataset from: Work-Life Conflict Among Higher Education Institution Workers' During COVID-19: A Demands-Resources Approach</p>
Corporate Social Responsibility & Students' Perceptions: Evidence from Indian Higher Education Institutions
<p>Table 1 - Methodology </p> <p>Table 2 - Affirmations on CSR under study</p> <p>Table 3 - Characterization of the Sample</p> <p>Table 4 - Factor Analysis Results</p> <p>Table 5 - Validation of the assumptions of MANOVA</p>
Corporate Social Responsibility & Students' Perceptions: Evidence from Indian Higher Education Institutions
<p>Raw Data Table</p> <p>Table 1 - Methodology </p> <p>Table 2 - Affirmations on CSR under study</p> <p>Table 3 - Characterization of the Sample</p> <p>Table 4 - Factor Analysis Results</p> <p>Table 5 - Validation of the assumptions of MANOVA</p>
Corporate Social Responsibility & Students' Perceptions: Evidence from Indian Higher Education Institutions
<p>Blank Instrument</p> <p>Coding File</p> <p>Data File</p> <p>Raw Data</p> <p>Table 1 - Methodology </p> <p>Table 2 - Affirmations on CSR under study</p> <p>Table 3 - Characterization of the Sample</p> <p>Table 4 - Factor Analysis Results</p> <p>Table 5 - Validation of the assumptions of MANOVA</p>
Corporate Social Responsibility & Students' Perceptions: Evidence from Indian Higher Education Institutions
<p>Raw Data</p> <p>Table 1 - Methodology </p> <p>Table 2 - Affirmations on CSR under study</p> <p>Table 3 - Characterization of the Sample</p> <p>Table 4 - Factor Analysis Results</p> <p>Table 5 - Validation of the assumptions of MANOVA</p>
Open Data as driver of critical data literacies in Higher Education: Which Data, Which Openness, Which Care?
<p>This Zenodo item contains the Report and subsidiary resources and dataset on the results of the workshop undertaken by the authors: "Open Data as driver of critical data literacies in Higher Education".</p> <p>Workshop Details:</p> <ul> <li>A workshop session offered at the OER20 [online] conference</li> <li><a href="https://oer20.oerconf.org/sessions/o-060/">https://oer20.oerconf.org/sessions/o-060/</a></li> <li>Wed, Apr 1 2020</li> <li>Theme: <a href="https://oer20.oerconf.org/tracks/open-education-for-civic-engagement-and-democracy/">Open education for civic engagement and democracy</a></li> <li>Access to the <a href="https://eu.bbcollab.com/collab/ui/session/playback/load/0983399114454947ba11426abbb3e17e">Recorded Session</a></li> </ul> <p>The workshop explored the educational potential of Open Data as a driver of interdisciplinary dialogue in learning design and pedagogical practices. It offered instruments for designing educational interventions in two simple phases:</p> <ol> <li>A conceptual (but dialogical!) introduction</li> <li>A “hands on” exercise</li> </ol> <p>The virtual environment used was Blackboard Collaborate as organized and supported by ALT and the OER20 Committee. In these conditions, 73 participants (conference attendees and external participants) engaged in the activity. The participants that expressed their geographical positions (when introducing themselves via the chat in the virtual conference environment) showed diversity, though most participants came from the UK, elsewhere in Europe, and some from Latin America.</p>
Why should we care about datafication? Critical data literacies in higher education
<p>This Zenodo item contains the Report and subsidiary resources and dataset on the results of the workshop undertaken by the authors: "Why should we care about datafication? Critical data literacies in higher education".</p> <p>Workshop Details:</p> <ul> <li>A workshop session offered at the OER20 [online] conference</li> <li><a href="https://oer20.oerconf.org/sessions/o-023/">https://oer20.oerconf.org/sessions/o-023/</a></li> <li>Wed, Apr 1 2020</li> <li>Theme: <a href="https://oer20.oerconf.org/tracks/openness-in-the-age-of-surveillance/">Openness in the age of surveillance</a></li> <li>Access to the <a href="https://eu.bbcollab.com/collab/ui/session/playback/load/7cadbebcf3cf499d8616529c880eacde">Recorded Session</a></li> </ul> <p>Through a hands-on Open Space conversation, facilitated via Mentimeter and Blackboard Collaborate we explored the challenges datafication poses for educators in our contemporary information ecosystem, and why all of us should care. The session tried to scaffold frameworks that offer participants a critical lens to analyse their own data literacies and explore pathways to data literacy and data activism in institutions and networks.</p> <p>The workshop was technically implemented with success, and all the interactions were undertaken without any imprevist, due to the great support given by the OER20 committee. The OER20 community got engaged with our proposal: 94 participants were visible in the chat side and actively contributing.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.