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11 results for “Grey Literature”
Grey Literature in Software Engineering: A Critical Review
<p>Replication package of the study "Grey Literature in Software Engineering: A Critical Review" published in Information and Software Technology (IST).</p>
Linked collectors and determiners for: Mammal observations from Ukrainian grey literature.
Natural history specimen data linked to collectors and determiners held within, "Mammal observations from Ukrainian grey literature". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/5e0c660f-4093-42e5-a6df-55a44ae8dfb5">https://bionomia.net/dataset/5e0c660f-4093-42e5-a6df-55a44ae8dfb5</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/5e0c660f-4093-42e5-a6df-55a44ae8dfb5">https://gbif.org/dataset/5e0c660f-4093-42e5-a6df-55a44ae8dfb5</a>. Formatted as a Frictionless Data package.
What Evidence We Would Miss If We Do Not Use Grey Literature?
<p>Replication package of the study "What Evidence We Would Miss If We Do Not Use Grey Literature?" published at 15th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2021).</p>
Co-Creation Methods Inventory: Sourced from Academic and Grey Literature
<p><strong>Introducing the Co-Creation Methods Inventory.</strong> Discover an open-access dataset containing a vast collection of co-creation methods. This resource is the culmination of meticulous research and ongoing analysis, drawing from diverse co-creation projects and references. Within this dataset, you will find <strong>765 </strong>co-creation methods sourced from the Health CASCADE Co-Creation Database and grey literature sources. Each method is accompanied by a description and a reference.</p> <p>This initial dataset is meticulously curated to support and enhance your co-creation processes. Whether you are engaged in co-creation, co-design, co-production, or participatory research, these methods offer valuable insights and approaches. This dataset is a precursor to the forthcoming academic articles by Agnello DM et al., scheduled for publication in 2024.</p> <p>For any inquiries or further information about the dataset, please feel free to reach out to Danielle Marie Agnello at <a href="mailto:danielle.agnello@gcu.ac.uk">danielle.agnello@gcu.ac.uk</a>. Additionally, join the conversation and stay updated on her work by following her on Twitter: <a href="https://twitter.com/DannyAgnello_GH">https://twitter.com/DannyAgnello_GH</a>. <br><br>To delve deeper into the <em>Health CASCADE Co-Creation Database</em>, follow this link: <a href="https://doi.org/10.2196/45059">https://doi.org/10.2196/45059</a>. For additional support in utilizing these co-creation methods, explore our <em>Draft Evidence-based Co-Creation Guideline: PRODUCES+ </em>at<em> </em><a href="https://doi.org/10.5281/zenodo.7343029">https://doi.org/10.5281/zenodo.7343029</a><em>.</em> Finally, if you're interested in understanding more about how these methods align with co-creation characteristics, please take a look at this pre-print manuscript about the Co-Creation Rainbow framework: <a href="../records/10391410">https://zenodo.org/records/10391410</a>. </p> <p>Unlock the potential of co-creation methods and embark on a collaborative research journey with confidence, creativity and innovation!</p>
Grey literature strategies survey results and questionnaires: producers, users and collecting services
<p>Survey results from three online surveys conducted in 2013 of research producing organisations,research users and collecting services involved in research for public policy and practice. Most respondents were from Australia. </p> <p>Questionnaires and SPSS versions also provided.</p> <p>Results have been published in various publications available in this collection.</p> <p> </p> <p> </p>
On the Practitioners' Understanding of Coupling Smells -- A Grey Literature Based Grounded-Theory Study: Dataset and Code
<p>This is the dataset and related code artifact for the article "On the Practitioners' Understanding of Coupling Smells -- A Grey Literature Based Grounded-Theory Study".</p> <p> </p> <p>Abstract of the article:</p> <p> </p> <p>Context: Code and design smells, such as the coupling smells examined in this article, are widely studied. Existing empirical studies reveal gaps between the scientific theory and practice, not yet explained by the scientific literature. Only basic coupling smell detection approaches and metrics seem to have been transferred to practice so far.</p> <p> </p> <p>Objective: This article aims to study the current practitioner's understanding of coupling smells.</p> <p> </p> <p>Method: Based on grey literature sources containing practitioner views on coupling smells, we performed a Grounded Theory (GT) study. We used UML-based modeling to precisely encode our findings and performed a rigorous analysis of our codes and models.</p> <p> </p> <p>Results: Our results are defining factors of coupling smells, as well as smell impacts, trade-offs, relationships to other smells, relationships to practices and patterns, and fix options as perceived by practitioners. We further identified gaps in the understanding of coupling smells between science and practice, and derived opportunities and challenges for future scientific work.</p> <p> </p> <p>Conclusions: Five lessons are presented as opportunities and challenges for future research. Our results can help scientists to get a better understanding of practitioner concerns, and practitioners to get an overview of the current perception of other practitioners on coupling smells.</p> <p> </p> <p> </p>
Code Smells in Elixir: Early Results from a Grey Literature Review [DATASET]
<p>Dataset used in research submitted to ICPC ERA 2022 </p>
Strategies to mitigate differences between environments using Rapid Review on Grey Literature
<p>The comparison spreadsheet serves as a comprehensive repository for organizing and synthesizing data extracted from Grey Literature sources. It contains coded information related to strategies for mitigating configuration differences in software development, allowing for a systematic analysis of the identified practices. The spreadsheet links to different sections of the paper by providing a structured framework for data analysis. In the 'Data synthesis' section, the spreadsheet supports a mixed-method approach, combining qualitative and quantitative methods for analyzing the data. It aids in thematic analysis by translating codes into themes and creating higher-order themes for a more in-depth understanding of the collected data. Additionally, the spreadsheet connects to the 'Extract and Code data' section, where it houses all relevant codes and facilitates discussions on pertinent information extracted from Grey Literature sources. By referencing unique identifiers within the spreadsheet, researchers can track and link specific entries to the research questions, ensuring alignment with the study's objectives. Overall, the comparison spreadsheet plays a pivotal role in organizing, analyzing, and synthesizing data from Grey Literature sources, contributing to the robustness and coherence of the research findings presented in the paper.</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>
Cited references and records of Imperial College London institutional repository grey literature
<p>Cited references (all time) to items published under Imperial College London's grey literature DOI prefix 10.25561 and bibliographic data of deposited Reports in the repository (2016-2020).</p>
Industry Practices and Challenges for the Evolvability Assurance of Microservices: A Systematic Grey Literature Review
<p>This repository contains all publicly available artifacts related to a systematic grey literature review (GLR) about the evolvability assurance of microservices in industry. We selected and analyzed 295 practitioner online resources obtained via Google, Bing, and selected StackExchange communities. The study took place in 2020 from January to April.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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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.