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Dataset results
24 results for “Research ethics”
Ethics of Research Funding: A survey
<p>Anonymized data set of the ethics of research funding survey. To anonymize the data, the responses to the open comment field (Q57) have been removed. The publication of these anonymized data has been approved by the ethics committee of KU Leuven.</p>
Survey on Developer and Researcher Views on the Ethics of Experiments on Open-Source Projects
<p>Results of a survey of 180 GitHub developers and 44 authors of research papers concerning the ethics of performing experiments on open source projects.</p>
Ethics of Research Funding: pilot study dataset
<p>Anonymized data set of the pilot study for the ethics of research funding survey. To anonymize the data, the responses to question C2 (What is the main location of your professional activities) have been removed. The publication of these anonymized data has been approved by the ethics committee of KU Leuven, and was indicated clearly in the informed consent of the survey.</p>
Data Matrix Theme-Specific Analysis of the Recommendation on Science and Scientific Researchers (RSSR): Ethics and Ethical Governance
<p>This Table sets out findings from the mapping exercise conducted as part of the objectives of subtask 6.1 of the RRING project.</p> <p>Aim: Alignment of RRI to advance the UN SDGs.</p> <p>Objectives:</p> <ul> <li>Mapping the RSSR to the SDGs </li> </ul> <p>Mapping the RSSR to the SDGs is aimed at providing new perspectives, ideas and approaches that can help to improve the operationalization and implementation of each SDG, <em>by facilitating the integration of RRI (or RRI-like) practices in the SDGs, to make them more achievable.</em> The impact of the new perspectives, ideas and approaches in SDG operationalization and implementation will be aimed at the level of <em>national and international policy (making); future research and innovation projects (in industry and academia); as well as education and training of researchers, policy makers and other stakeholders.</em></p> <p>Two documents were used for this task:</p> <ul> <li>2017 Recommendation on Science and Scientific Researchers ([RSSR], UNESCO), and</li> <li>the United Nations 2030 Agenda for Sustainable Development with the 17 Sustainable Development Goals (SDGs).</li> </ul>
Balancing Innovation and Responsibility: The e-DIPLOMA Project's Approach to Ethical, Inclusive, Accessible, and Sustainable Research (video)
<p>This video includes project motivation, primary objective and methodology developed at e-DIPLOMA project and emphasize the Responsible Research and Innovation actions implemented in the project. e-DIPLOMA ensures the consideration of ethics, gender equality, legal aspects, and data privacy as well as it prioritizes transparency and accessibility.</p> <p>Project website: https://e-diplomaproject.eu/</p>
Mining the first 100 days: Human and data ethics in Twitter research
<p>This dataset consists of tweet identifiers for tweets harvested between November 28, 2016, following the election of Donald Trump through the end of the first 100 days of his administration. Data collection ended May 1, 2017.</p> <p>Tweets were harvested using multiple methods described below. The total dataset consists of 218,273,152 tweets. Because of the different methods used to harvest tweets, there may be some duplication.</p>
Implications of Ethics Determinant on Dentistry and Pharmacy Research
ClinicalTrials.gov study NCT05195671. IPD Sharing: NO. Countries: 1. Publications: 10.
Cukurova University Faculty of Medicine Non-interventional Clinical Research Institutional Ethics Committe
ClinicalTrials.gov study NCT05075694. IPD Sharing: NO. Countries: 1. Publications: 0.
Research Participants' Views on the Ethics of Clinical Research
ClinicalTrials.gov study NCT00457041. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Mining the first 100 days: Human and data ethics in Twitter research
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Figure 2 from: Evans N, Marusic A, Foeger N, Lofstrom E, van Hoof M, Vrijhoef-Welten S, Inguaggiato G, Dierickx K, Bouter L, Widdershoven G (2021) Virtue-based ethics and integrity of research: train-the-trainer programme for upholding the principles and practices of the European Code of Conduct for Research Integrity (VIRT2UE). Research Ideas and Outcomes 7: e68258. https://doi.org/10.3897/rio.7.e68258
Figure 2 Overview of the proposed Open platform for Blended learning. [Screenshot inset of Science Communicator, Derek Muller, of Veritasium Science Blog from the TED Talent Search You-Tube channel].
Figure 1 from: Evans N, Marusic A, Foeger N, Lofstrom E, van Hoof M, Vrijhoef-Welten S, Inguaggiato G, Dierickx K, Bouter L, Widdershoven G (2021) Virtue-based ethics and integrity of research: train-the-trainer programme for upholding the principles and practices of the European Code of Conduct for Research Integrity (VIRT2UE). Research Ideas and Outcomes 7: e68258. https://doi.org/10.3897/rio.7.e68258
Figure 1 Academic partners, advisory board and their associated networks. As shown, the networks that VIRT2UE PI's are involved in, together cover all European countries.
Guidelines for conducting ethical AI research in neurology: Supplementary materials
<p>Pre-emptive recognition of the ethical implications of study design and algorithm choices in artificial intelligence (AI) research is an important but challenging process. AI applications have begun to transition from a promising future to clinical reality in neurology. As the clinical management of neurology is often concerned with discrete, often unpredictable, and highly consequential events linked to multimodal data streams over long timescales, forthcoming advances in AI have great potential to transform care for patients. However, critical ethical questions have been raised with implementation of the first AI applications in clinical practice. Clearly, AI will have far-reaching potential to promote, but also to endanger, ethical clinical practice. This article employs an anticipatory ethics approach to scrutinize how researchers in neurology can methodically identify ethical ramifications of design choices early in the research and development process, with a goal of pre-empting unintended consequences that may violate principles of ethical clinical care. First, we discuss the use of a systematic framework for researchers to identify ethical ramifications of various study design and algorithm choices. Second, using epilepsy as a paradigmatic example, anticipatory clinical scenarios that illustrate unintended ethical consequences are discussed, and failure points in each scenario evaluated. Third, we provide practical recommendations for understanding and addressing ethical ramifications early in methods development stages. Awareness of the ethical implications of study design and algorithm choices that may unintentionally enter AI is crucial to ensuring that incorporation of AI into neurology care leads to patient benefit rather than harm.</p>
Guidelines for conducting ethical AI research in neurology: Supplementary materials
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Figure 4 from: Evans N, van Hoof M, Hartman L, Marusic A, Gordijn B, Dierickx K, Bouter L, Widdershoven G (2021) EnTIRE: Mapping Normative Frameworks for EThics and Integrity of REsearch. Research Ideas and Outcomes 7: e76240. https://doi.org/10.3897/rio.7.e76240
Figure 4 Management structure of EnTIRE
Figure 3 from: Evans N, van Hoof M, Hartman L, Marusic A, Gordijn B, Dierickx K, Bouter L, Widdershoven G (2021) EnTIRE: Mapping Normative Frameworks for EThics and Integrity of REsearch. Research Ideas and Outcomes 7: e76240. https://doi.org/10.3897/rio.7.e76240
Figure 3 Content for and by the community.
Figure 2 from: Evans N, van Hoof M, Hartman L, Marusic A, Gordijn B, Dierickx K, Bouter L, Widdershoven G (2021) EnTIRE: Mapping Normative Frameworks for EThics and Integrity of REsearch. Research Ideas and Outcomes 7: e76240. https://doi.org/10.3897/rio.7.e76240
Figure 2 PERT Description of the work packages and their interrelations.
Figure 1 from: Evans N, van Hoof M, Hartman L, Marusic A, Gordijn B, Dierickx K, Bouter L, Widdershoven G (2021) EnTIRE: Mapping Normative Frameworks for EThics and Integrity of REsearch. Research Ideas and Outcomes 7: e76240. https://doi.org/10.3897/rio.7.e76240
Figure 1 Bottom-up participatory approach.
Figure 5 from: Evans N, van Hoof M, Hartman L, Marusic A, Gordijn B, Dierickx K, Bouter L, Widdershoven G (2021) EnTIRE: Mapping Normative Frameworks for EThics and Integrity of REsearch. Research Ideas and Outcomes 7: e76240. https://doi.org/10.3897/rio.7.e76240
Figure 5 Geographic spread of participants.
Figure 5 from: Evans N, Marusic A, Foeger N, Lofstrom E, van Hoof M, Vrijhoef-Welten S, Inguaggiato G, Dierickx K, Bouter L, Widdershoven G (2021) Virtue-based ethics and integrity of research: train-the-trainer programme for upholding the principles and practices of the European Code of Conduct for Research Integrity (VIRT2UE). Research Ideas and Outcomes 7: e68258. https://doi.org/10.3897/rio.7.e68258
Figure 5 Management structure.
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.