Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
7
datasets available to search
ShareScore release 0.9.0
Dataset results
7 results for “open source community”
Free Open Source Communities Sustainability: Does It Make a Difference in Software Quality?
<p><strong>Context:</strong> Free and Open Source Software (FOSS) communities' ability to stay viable and productive over time is pivotal for society as they maintain the building blocks that digital infrastructure, products, and services depend on. Sustainability may, however, be characterized from multiple aspects, and less is known how these aspects interplay and impact community outputs, and software quality specifically.</p> <p><strong>Objective: </strong>This study, therefore, aims to empirically explore how the different aspects of FOSS sustainability impact software quality.</p> <p><strong>Method: </strong>16 sustainability metrics across four categories were sampled and applied to a set of 217 OSS projects sourced from the Apache Software Foundation Incubator program. The impact of a decline in the sustainability metrics was analyzed against eight software quality metrics using Bayesian data analysis, which incorporates probability distributions to represent the regression coefficients and intercepts.</p> <p><strong>Results: </strong>Findings suggest that selected sustainability metrics do not significantly affect defect density or code coverage. However, a positive impact of community age was observed on specific code quality metrics, such as risk complexity, number of very large files, and code duplication percentage. Interestingly, findings show that even when communities are experiencing sustainability, certain code quality metrics are negatively impacted.</p> <p><strong>Conclusion:</strong> Findings imply that code quality practices are not consistently linked to sustainability, and defect management and prevention may be prioritized over the former. Results suggest that growth, resulting in a more complex and large codebase, combined with a probable lack of understanding of code quality standards, may explain the degradation in certain aspects of code quality.</p>
Why is my community reacting like this? Understanding reactions in open-source communities
<p>In 2016, GitHub introduced the Reactions feature to facilitate the expression of sentiments and reduce noise in communications on its platform. Recent studies indicated that developers has been adopting the feature and was observed a reduction of noise on conversations inside the platform. However, the patterns of usage and profiles of users expressing these reactions in inside their communities remain underexplored. Identifying these patterns may help maintainers to better understand members' behaviors in their communities, and researchers to build supporting tools focused on users' reactions. This paper presents an initial study to (i) understand these interactions on open-source software communities, (ii) identify types of resources that receive the most reactions, (iii) analyzing seasonal factors influencing usage, and (iv) correlating the provided reactions with the roles of developers within the community. Preliminary results indicate that users primarily react to comments in Issues, with notable periods of heightened activity. Additionally, significant differences were observed between the reactions of maintainers and other members of the community.</p>
Free Open Source Communities Sustainability: Does It Make a Difference in Software Quality?
<p> Free and Open Source Software (FOSS) communities' sustainability is important to maintain and promote access to technology and innovation. While considerable effort has been invested on the topic of FOSS sustainability, limited attention has been given to its impact on community outcomes, e.g., software quality. We conducted an empirical study to examine the influence of FOSS sustainability on software quality. We used projects' data sourced from the Apache Software Foundation Incubator. A total of 236 projects were originally selected. Our final list included a total of 217 projects after applying our exclusion criteria. We used Bayesian data analysis, which incorporates probability distributions to represent the regression coefficients and intercepts. Our findings suggest that our selected sustainability metrics do not significantly affect defect density or code coverage. However, we observed a positive impact of community age on specific code quality metrics, such as risk complexity, number of very large files, and code duplication percentage. Interestingly, our findings show that even when communities are experiencing sustainability, certain code quality metrics are negatively impacted. This implies that code quality practices are not consistently linked to sustainability, and defect management and prevention may be prioritized over the former.</p>
PyonAir: An open design, open source, air quality monitor for community driven particulate matter sensing.
<p>This dataset present some of the data recorded by two low-cost PM sensors, a Plantower PMS5003 and a Sensirion SPS030 located at Southampton AURN reference station on the 2nd December 2019 between 17:00 and 22:00 during a fire that occurred in the city. It also present the data from the Fidas 200, averaged every 15min also located at the AURN station.</p> <p>The file SPS_PMS_fire.csv contain the following rows:</p> <ul> <li>date</li> <li>pm25 - PM<sub>2.5</sub> mass concentration in ug/m<sup>3</sup></li> <li>sensor - Serial number of the sensor</li> <li>site - name of the location of the sensor</li> </ul> <p>The file fidas_15min.csv contains the following rows:</p> <ul> <li>date</li> <li>PM2.5 - PM<sub>2.5</sub> mass concentration in ug/m<sup>3</sup></li> </ul> <p> </p>
Different community open-source evaluation and benchmarking tools with their respective characteristics
<p>Schematic of different community open-source evaluation and benchmarking tools with their respective characteristics.</p>
AndroZooOpen: Collecting Large-scale Open Source Android Apps for the Research Community
<p>The raw collected data for the paper</p>
Exploring the Security Awareness of the Python and JavaScript Open Source Communities
<p>Online appendix for "Exploring the Security Awareness of the Python and JavaScript Open Source Communities"</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.