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178 results for “Research Practices”
Dataset for: Fifty years of research on questionable research practices in science: Quantitative analysis of co-citation patterns
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Data Management and Sharing: Practices and Perceptions of Psychology Researchers
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Data and code from: Public participation in tropical conservation and environmental management research: Towards a locally grounded and reflexive practice
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Role and practice of research software development at DLR
<p>The deposit contains the results of a survey concerning the role and practice of research software development at the German Aerospace Center (DLR). The survey started end of November 2018 and ended mid-February 2019. We received 773 answers which gave us interesting insights concerning developer demographics, tool usage, documentation, testing as well as software citation at DLR.</p>
Bashar H. Malkawi, Knowledge Management Research and practice
<p>Editorial Board Member, Knowledge Management Research and practice</p>
Bridging research integrity and global health epidemiology (BRIDGE) statement: guidelines for good epidemiological practice
<p>Research integrity and research fairness have gained considerable momentum in the past decade and have direct implications for global health epidemiology. Research integrity and research fairness principles should be equally nurtured to produce high quality impactful research – but bridging the two can lead to practical and ethical dilemmas. In order to provide practical guidance to researchers and epidemiologist, we set out to develop good epidemiological practice guidelines specifically for global health epidemiology, targeted at stakeholders involved in the commissioning, conduct, appraisal and publication of global health research.</p> <p>We developed preliminary guidelines based on targeted online searches on existing best practices for epidemiological studies and sought to align these with key elements of global health research and research fairness. We validated these guidelines through a Delphi consultation study, to reach a consensus among a wide representation of stakeholders. </p> <p>A total of 45 experts provided input on the first round of GEP e-Delphi consultation, and 40 in the second. Respondents covered a range of organisations (including for example academia, ministries, NGOs, research funders, technical agencies) involved in epidemiological studies from countries around the world. A selection of eight experts were invited for a face-to-face meeting. The final guidelines consists of a set of six standards and 42 accompanying criteria including study preparation, study protocol and ethical review, data collection, data management, analysis, reporting and dissemination.</p> <p>This database only includes anonymised responses of participants who agreed to their data being shared in this depository , i.e.19 out of the 45 (Round 1) and 40 (Round 2) participants. </p>
Data from: Research data sharing: practices and attitudes of geophysicists
Open data policies have been introduced by governments, funders, and publishers over the past decade. Previous research showed a growing recognition by scientists of the benefits of data-sharing and reuse, but actual practices lag and are not always compliant with new regulations. The goal of this study is to investigate motives, attitudes, and data practices of the community of earth and planetary geophysicists, a discipline believed to have accepting attitudes towards data sharing and reuse. A better understanding of the attitudes and current data-sharing practices of this scientific community could enable funders, publishers, data managers, and librarians to design systems and services that help scientists understand and adhere to mandates and to create practices, tools, and services that are scientist-focused. An online survey was distributed to the members of the American Geophysical Union (AGU), producing 1372 responses from 116 countries. The attitudes of researchers to data sharing and reuse were generally positive, but in practice scientists had concerns about sharing their own research data. These concerns include the possibility of potential data misuse and the need for assurance of proper citation and acknowledgement. Training and assistance in good data management practices are lacking in many scientific fields and might help to alleviate these doubts.
Products developed through the "What About Model Data?, Determining Best Practices for Preservation and Replicability, EarthCube Research Coordination Network" project
This dataset includes products developed through the "What About Model Data? Determining Best Practices for Preservation and Replicability, EarthCube Research Coordination Network (RCN)" project. Products include: 1) a rubric worksheet to assist researchers in deciding what simulation output needs to be preserved in a trusted, community repository to communicate knowledge and satisfy publisher and funder requirements, 2) instructions on how to use the rubric worksheet, which include reference use cases, and 3) outputs and presentations from the three project workshops.
The Fourth International Scientific – Practical Virtual Conference in "Green Energy: New Conceptual Vision and Multiplicative Effects" Organizers of the conference: MTÜ. The International Center for Research Education & Training. (Estonia Tallinn)
<p>The Fourth International Scientific – Practical Virtual Conference in "Green Energy: New Conceptual Vision and Multiplicative Effects" Organizers of the conference: MTÜ. The International Center for Research Education & Training. (Estonia Tallinn</p>
Data from: Improper data practices erode the quality of global ecological databases and impede the progress of ecological research
<p>The scientific community has entered an era of big data. However, with big data comes big responsibilities, and best practices for how data are contributed to databases have not kept pace with the collection, aggregation, and analysis of big data. Here, we rigorously assess the quantity of data for specific leaf area (SLA) available within the largest and most frequently used global plant trait database, the TRY Plant Trait Database, exploring how much of the data were <em>applicable </em>(i.e., original, representative, logical, and comparable) and <em>traceable </em>(i.e., published, cited, and consistent). Over three-quarters of the SLA data in TRY either lacked applicability or traceability, leaving only 22.9% of the original data usable compared to the 64.9% typically deemed usable by standard data cleaning protocols. The remaining usable data differed markedly from the original for many species, which led to altered interpretation of ecological analyses. Though the data we consider here make up only 4.5% of SLA data within TRY, similar issues of <em>applicability </em>and <em>traceability </em>likely apply to SLA data for other species as well as other commonly measured, uploaded, and downloaded plant traits. We end with suggested steps forward for global ecological databases, including suggestions for both uploaders to and curators of databases with the hope that, through addressing the issues raised here, we can increase data quality and integrity within the ecological community.</p>
Supplementary material 2 from: Sturm U, Heyne E, Herrmann E, Arends B, Dieter A-L, Dorfman E, Drauschke F, Heller N, Kahn R, Kaiser K, Koch G, Kramar N, Mansilla Sánchez A, Mauelshagen F, Nadim T, Pell R, Petersen M, Schmidt-Loske K, Scholz H, Sterling C, Trischler H, Wagner S (2022) Anthropocenic Objects. Collecting Practices for the Age of Humans. Research Ideas and Outcomes 8: e89446. https://doi.org/10.3897/rio.8.e89446
Flyer: How to collect, store and curate objects in the Anthropocene? On participatory and digital collections.
Supplementary material 1 from: Sturm U, Heyne E, Herrmann E, Arends B, Dieter A-L, Dorfman E, Drauschke F, Heller N, Kahn R, Kaiser K, Koch G, Kramar N, Mansilla Sánchez A, Mauelshagen F, Nadim T, Pell R, Petersen M, Schmidt-Loske K, Scholz H, Sterling C, Trischler H, Wagner S (2022) Anthropocenic Objects. Collecting Practices for the Age of Humans. Research Ideas and Outcomes 8: e89446. https://doi.org/10.3897/rio.8.e89446
Flyer: What is an Anthropocenic Object? Transdisciplinary Perspectives on Natural, Cultural and Hybrid Objects
Supplementary material 4 from: Sturm U, Heyne E, Herrmann E, Arends B, Dieter A-L, Dorfman E, Drauschke F, Heller N, Kahn R, Kaiser K, Koch G, Kramar N, Mansilla Sánchez A, Mauelshagen F, Nadim T, Pell R, Petersen M, Schmidt-Loske K, Scholz H, Sterling C, Trischler H, Wagner S (2022) Anthropocenic Objects. Collecting Practices for the Age of Humans. Research Ideas and Outcomes 8: e89446. https://doi.org/10.3897/rio.8.e89446
Keynote Exhibiting the Anthropocene - and the Technosphere - means breaking away from established knowledge orders
Quantitative assessment of research data management practice - 2021
<p>This survey aims to investigate research data management practices at EPFL and integrate their results into specific academic services. The previous two editions, in collaboration with TU Delft, Cambridge University and Illinois University, were carried out in 2017 and 2019.</p> <p>The objective of these surveys is to collect information on researchers' habits in terms of management of their research data, as well as to identify their needs for data curation services/support. For this edition of the survey, a particular focus has been given to the ways in which they disseminate data and code.</p> <p>You can find here a file corresponding to the report, in PDF, highlighting the findings of the survey, plus the file of the underlying data, in CSV, and a file with the graphical representation of such data, in PDF.<br> <br> For more information about this survey, a description on how the survey might be re-used by other institutions, and RDM services offered by the EPFL Library, please contact <a href="mailto:researchdata@epfl.ch?subject=Concerning%20the%20EPFL%20survey%20on%20RDM%20practices">researchdata@epfl.ch</a>.</p>
THE SECOND INTERNATIONAL SCIENTIFIC-PRACTICAL VIRTUAL CONFERENCE IN HEALTH INNOVATIONS & RESEARCH: PROGNOSIS, ACHIEVEMENT, AND CHALLENGES.
<p>THE SECOND INTERNATIONAL SCIENTIFIC-PRACTICAL VIRTUAL CONFERENCE IN HEALTH INNOVATIONS & RESEARCH: <br>PROGNOSIS, ACHIEVEMENT, AND CHALLENGES.</p>
Supplementary material 1 from: Van Tuyl S, Whitmire A (2018) Investigation of Non-Academic Data Management Practices to Inform Academic Research Data Management. Research Ideas and Outcomes 4: e30829. https://doi.org/10.3897/rio.4.e30829
Interview protocol used for the project, "Investigation of Non-Academic Data Management Practices to Inform Academic Research Data Management"
Demystifying Open Science and Research Data Management: A practical workshop for researchers
<p>Have you ever wondered why is everyone discussing about Open Science and Research Data Management (RDM) these days? Good Research Data Management (RDM) is crucial for reproducible and robust scientific research. Consequently, more and more funding bodies, governments, research institutions and other agencies have emphasised the value and importance of good data management and introduced policies on data management and sharing. However, it is easier said than done.<br> Like most researchers you might have more questions than answers about the topic. You are not alone! Come join us on the 24th at an interactive workshop where you can understand the why and how of open science and research data management in practical terms.</p> <p> </p> <p>This zenodo entry is a recording of the workshop described above. </p>
D2.7 Report on practices and innovations from networks and research M16
<p>Deliverable 2.7 reports the results of a desk research where we screened for European research programmes potentially generating useful innovations and practices in beekeeping. The document is an update of Deliverable 2.6, where a database of research projects and networks yielding practices and innovations was presented in M7. In Deliverable 2.7, the database was updated, and the Technology Readiness Level (TRL) of the results of the projects screened were analysed.</p>
Replication Package for "State of Practical Applicability of Regression Testing Research: A Live Systematic Literature Review"
<p>This repository provides a static version of the dataset used for the study "State of Practical Applicability of Regression Testing Research: A Live Systematic Literature Review".</p> <p>The data is available in CSV format (for easy parsing) and HTML format (for readability). HTML files require the included <em>sheet.css</em> file (provided by Google Sheets).</p> <p>A non-static version of this data is available via <a href="https://bit.ly/3gCKh7V">Google Sheets</a>.</p> <p>Furthermore, this data was used to create a <a href="https://renangreca.github.io/literature-repository/">live repository</a> of papers on the topic of software regression testing. It is open for contributions.</p>
Exposure to a Vitamin D Best Practices Toolkit, Model, & E-Tools Increases Knowledge, Confidence, and Translation of Research to Public Health and Practice
<p>Preventable vitamin D deficiency (VDD) is a global health concern. Prevention, early detection, and treatment of vitamin D deficiency aligning with serum 25-hydroxyvitamin D recommendations of 40-60 ng/ml (100-150 nmol/L) by an international panel of 48 vitamin D researchers would result in significant health benefits and cost-savings to individuals and society. However, research shows healthcare professionals lack knowledge and confidence in vitamin D best practices. A vitamin D toolkit was developed, including a model for decision-making support, e-tools, and accompanying resources, and implemented using an online, asynchronous learning management system. The pre-, post-test, and follow-up survey study design aimed to increase nurses’ and dietitians' levels of vitamin D knowledge, confidence, translation of evidence into spheres of practice and influence, and identify translation barriers. Toolkit completion increased participants’ (n=119) knowledge, 31% to 65% (p <0.001) and confidence 2.0 to 3.3 (p<0.001) on a scale of 1-5. Respondents reported using the model (100%) as a framework successfully guiding the translation of vitamin D knowledge into their sphere of influence or practice (94%) and identified translation barriers. The toolkit should be included in interdisciplinary continuing education, research/quality improvement initiatives, healthcare policy, and institutions of higher learning to increase movement of research to practice.</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
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.