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113
datasets available to search
ShareScore release 0.9.0
Dataset results
113 results for “research software”
Evaluating an instrument of the research software related to software quality - Dimension 2 - Dataset of Focus Groups
<p>Artifacts used for data collection and analysis of the focus group sessions during the evaluation of an instrument for research software related to software quality - dimension 2.</p>
Perceptions of the Brazilian Software Engineering Research Community About Grey Literature
<p>Replication package of the study "Perceptions of the Brazilian Software Engineering Research Community About Grey Literature" conducted with the Brazilian Software Engineering Researchers.</p>
Topic modeling in software engineering research
<p>Data extracted from 111 papers applying topic modeling techniques in software engineering studies.</p>
Survey on Requirements Notations in Software Engineering Research Dataset
<p>Dataset from a survey study that investigated Software Engineering researchers' applications for requirements notations.</p>
Research software stakeholders in Africa
<p>In 2019 the <a href="https://www.researchsoft.org/">Research Software Alliance</a> set out to map the research software landscape in the<a href="https://www.researchsoft.org/blog/2020-03/"> Global North</a>. In 2021 they followed up with a mapping of the <a href="https://doi.org/10.5281/zenodo.7179892">Global South</a> with support from consultants in various regions in Africa, South America and Asia.</p> <p>Based on <a href="https://talarify.co.za">Talarify's</a> extensive networks in Africa and past collaboration with various research software communities, we built on the mapping by ReSA in 2022 and added an additional 166 African research software stakeholders. We also developed a <a href="https://rsse-africa.shinyapps.io/RSSE_mapping/">Shiny app</a> to visualise the data online.</p> <p>Read more about this project and the projects it builds on at <a href="https://www.talarify.co.za/2023/02/01/mapping-the-rse-landscape-in-africa/">https://www.talarify.co.za/2023/02/01/mapping-the-rse-landscape-in-africa/</a>.</p> <p>To add data to the dataset, please complete the form available at <a href="https://forms.gle/oufnEiZ28YGGeYy16">https://forms.gle/oufnEiZ28YGGeYy16</a>.</p> <p><em>The additional mapping was funded by <a href="https://talarify.co.za">Talarify</a>.</em></p> <p> </p>
Research Data for Beyond Keywords: Intent-Driven Semantic Code Search in Software Ecosystems
<p>This contains the software repository for the intent-enhanced code search engine as well as the baseline code search engine used in the Master Thesis: 'Beyond Keywords: Intent-Driven Semantic Code Search in Software Ecosystems'</p>
Dataset: FAIR Biomedical Research Software (FAIR-BioRS) manuscript
<p>Data related to our FAIR-BioRS manuscript. More details are available at the associated GitHub repository: <a href="https://github.com/FAIR-BioRS/Data">https://github.com/FAIR-BioRS/Data</a>. </p>
Systematic Mapping Study Data on Case Survey Studies in Software Engineering Research
<p>This dataset includes the systematic mapping study intermediate results to a study on the use of case survey in software engineering research. It includes the results to queries on four different databases (ACM Digital Library, IEEE Xplore, Scopus and Web of Science), the final set of unique results (eliminating duplicates) and how they were classified regarding if it was focused on software engineering, if it is an empirical research paper, and if it employed case survey.</p>
Competencies Development based on Thinking-based Learning in Software Engineering: An Action-Research
<p>For a long time, the teaching of Software Engineering (SE) has been carried out in a traditional way without taking into account relevant aspects of the student’s personality reflected in their learning. There is still a lack of research focused on SE that promotes adequate teaching methods so that new generations of students and future professionals have a humanistic, critical and reflexive formation. A novel teaching method called Thinking-based Learning (TBL) was proposed to develop effective thinking in students using thinking skills, habits of the mind and the metacognition during the teaching of subject content. The action research as a methodology to improve their teaching practices in education has been seen as a positive change in educational practices. The aim of this research was to perform an action research based on TBL method to assist in the development of competencies that are less attended by traditional methods currently used during the teaching and learning process of students in SE. Moreover, a Systematic Literature Review (SLR) was conducted to identify gaps in the contribution of teaching methods in SE until the present. The data are obtained by comparing the competencies achieved with TBL with the traditional methods previously used in the discipline, and additionally with the data obtained from the SLR. The results indicated that critical thinking, autonomy, problem solving and creativity were the most developed competencies by students during the course period. We are planning to expand the TBL and applying it in other disciplines of the same course as well as in other research areas to determine its functionality and interdisciplinarity. We hope that this experience with TBL will encourage the development of competencies among SE teachers.</p>
Survey data in PDF-What industry wants from academia in software testing research (phase 1)
<p>Survey data in PDF-What industry wants from academia in software testing research</p>
Not real or too soft? On the challenges of publishing interdisciplinary software engineering research (supplementary material)
<p>Supplementary material for paper "Not real or too soft? On the challenges of publishing interdisciplinary software engineering research" (ICSE 2025 SEIS track).</p>
Survey questions in PDF-What industry wants from academia in software testing research (phase 2)
<p>Survey questions in PDF-What industry wants from academia in software testing research</p>
Figure 1a from: Ioanas H, Saab B, Rudin M (2017) Gentoo Linux for Neuroscience - a replicable, flexible, scalable, rolling-release environment that provides direct access to development software. Research Ideas and Outcomes 3: e12095. https://doi.org/10.3897/rio.3.e12095
Figure 1a - Minimal (excluding all optional features) dependency graph of the contributed neuroscience package set.
Figure 1b from: Ioanas H, Saab B, Rudin M (2017) Gentoo Linux for Neuroscience - a replicable, flexible, scalable, rolling-release environment that provides direct access to development software. Research Ideas and Outcomes 3: e12095. https://doi.org/10.3897/rio.3.e12095
Figure 1b - Maximal (including all optional features) dependency graph of the contributed neuroscience package set.
Supplementary material for the IEEE Software paper-Engagement of practitioners and SE researchers
<p>Supplementary material for the IEEE Software paper-Engagement of practitioners and SE researchers</p>
(re)Use Indications of High Energy Physics related Research Data and Software in CERN Open Data Portal
<p>This dataset contains High Energy Physics related research data and software (re)use indications (formal citations, informal mentions) in scholarly works. All research data and software resources were identified and extracted from CERN Open Data Portal. The (re)use indications were identified by a mix of approaches: use of citation discovery services and multiple search approaches in Google Scholar. All identified research data and software (re)use indications were classified according to their purpose, location, and elements.</p> <p>The data was collected in 2018 for a PhD thesis on research data and software (re)use indications in scholarly works.</p>
(re)Use Indications of High Energy Physics related Research Data and Software in INSPIRE-HEP
<p>This dataset contains High Energy Physics related research data and software (re)use indications (formal citations, informal mentions) in scholarly works. All research data and software resources were identified and extracted from INSPIRE-HEP. The (re)use indications were identified by a mix of approaches: use of citation discovery services and multiple search approaches in Google Scholar. All identified research data and software (re)use indications were classified according to their purpose, location, and elements.</p> <p>The data was collected in 2018 for a PhD thesis on research data and software (re)use indications in scholarly works.</p>
Figure 1 from: Mariani P (2018) Jellyfish Identification Software for Underwater Laser Cameras (JTRACK). Research Ideas and Outcomes 4: e24716. https://doi.org/10.3897/rio.4.e24716
Figure 1 Gannt Chart.
(re)Use Indications of High Energy Physics related Research Data and Software in HEPData
<p>This dataset contains High Energy Physics related research data and software (re)use indications (formal citations, informal mentions) in scholarly works. All research data and software resources were identified and extracted from HEPData. The (re)use indications were identified by a mix of approaches: use of citation discovery services and multiple search approaches in Google Scholar. All identified research data and software (re)use indications were classified according to their purpose, location, and elements.</p> <p>The data was collected in 2018 for a PhD thesis on research data and software (re)use indications in scholarly works.</p>
Figure 1 from: Wagner S (2015) Continuous and Focused Developer Feedback on Software Quality (CoFoDeF) . Research Ideas and Outcomes 1: e7576. https://doi.org/10.3897/rio.1.e7576
Figure 1 - Mockup of continuous and focused feedback in an IDE
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.