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10 results for “Stakeholder Analysis”
Data Matrix Theme-Specific Analysis of the Recommendation on Science and Scientific Researchers (RSSR): Public and Stakeholder Engagement
<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>
ipaast project - community stakeholder survey data and basic analysis
<p>This data provides the basis for the report titled</p> <p>"Ready for integrated sustainable agricultural land management? </p> <p>Are practitioners in archaeology and agriculture informed, willing, enabled, and motivated to change how they work with remote and near-surface sensing data to collaboratively address contemporary challenges in sustainable agricultural land management? "</p> <p>Data were collected in compliance with the University of Glasgow's Research Ethics Policy (Application #100200154).</p> <p>As stated in the Methods section of this report:</p> <p>"The participatory survey was conducted between May 2021 and October 2022. </p> <p>Location: The preponderance of stakeholders engaged with are professional practitioners or researchers based in the UK, Belgium, Italy, Cyprus, Spain and France. Sessions occurred remotely (online/phone), as well as on site, during workshops at the University of Glasgow, the Dalswinton Estate, Dumfries, and Manor Farm, Yedingham. </p> <p>Participants </p> <p>Selection: A sub-group of 51 high-level participants were selected from a greater network of 86 stakeholders who were engaged with during the ipaast project. </p> <p>Sector: Farmers, researchers, heritage managers, geophysicists, remote sensing specialists, statisticians, soil scientists, service providers, sensor developers, and data archivists, who all deal directly, or indirectly with datasets relating to the measurement of soil and/or plant properties (physical, chemical, microbial) were represented (Table 1) </p> <p>Expertise: Engagement with mid- to late- career specialists was prioritised, with many participants having over 20 years of experience and most having over 10 years of experience (including time during the PhD). </p> <p> </p> <p>Interview method </p> <p>Engagement with stakeholders was primarily through one-to-one interviews and structured workshop discussions, conducted either in person, or remotely over video conference or phone. In some instances, participants provided written input (see Table 2 summary). Follow-up interviews or written exchanges were used to clarify or continue discussions when required. A semi-structured approach to interviews and discussions was preferred, with a mix of general questions (see sample questions), as well as questions specifically tailored to the participants specialist background and experience. </p> <p>Sample Questions: </p> <ul> <li> <p>What types of sensing data do you use/collect? </p> </li> </ul> <ul> <li> <p>Where/how do you access/collect these data? </p> </li> <li> <p>What are your main aims/applications in using or collecting these data? </p> </li> <li> <p>How often do you access/collect, or anticipate accessing/collecting, these data to be useful to you? </p> </li> <li> <p>What spatial resolution is necessary for these data to be useful to you? </p> </li> <li> <p>What, if anything, would encourage/discourage you from sharing your data? </p> </li> </ul> <ul> <li> <p>What kinds of additional data types or additional information (metadata) might help you to better understand and use data which you have previously collected or received? </p> </li> <li> <p>What do you see as the main impacts, if any, of ecosystem service frameworks and/or recent changes to rural/environmental regulations on your work? </p> </li> <li> <p>What attitudes to sensing data do you see from other stakeholders in rural affairs? </p> </li> </ul> <p>Documentation: Where viable, interviews and workshop discussions were recorded and transcribed; alternatively, notes were made during engagement by either the interviewer and/or dedicated participant observers (e.g. at workshops). Where notes were used, specific quotes and summary reports were checked with the participants for accuracy. "</p>
Meta-analysis on Stakeholder Engagement in the Co-Production of Knowledge for Environmental Decision-making
<p>This dataset corresponds to a meta-analysis to examine the peer-reviewed scholarship on stakeholder engagement in co-production processes in environmental decision-making.</p> <p>The dataset was developed by searching keywords, abstracts, and titles in Scopus on three key themes: co-production, transdisciplinary, and community-based participatory research. A total of 709 publications were reviewed, from which 144 met the selection criterion. The 144 articles constitute this dataset. They pertain to articles published between January 2005 and June 2020.</p> <p>The data includes information on the following topics:</p> <ol> <li>Number of unique case studies reported</li> <li>The projects’ time span</li> <li>When stakeholder engagement activities occur during the project cycle</li> <li>Are stakeholders (non-university researchers) an author</li> <li>Geographic region of project</li> <li>Environmental issues addressed</li> <li>Geographic scale of project </li> <li>Types of stakeholders engaged </li> <li>How stakeholders were engaged</li> <li>What output resulted from stakeholder engagement</li> <li>Approach to stakeholder engagement</li> <li>Factors that enabled stakeholder engagement</li> <li>Barriers or challenges to engagement</li> <li>Societal impacts associated with stakeholder engagement</li> <li>Direct evidence of societal impacts of stakeholder engagement</li> </ol> <p>The methods and analysis are presented in "Stakeholder Engagement in the Co-Production of Knowledge for Environmental Decision-making," which was submitted for publication in 2022 to the Journal <em>World Development</em>. A draft of the manuscript can be provided upon request to authors.</p>
An Analysis of the Current Bibliographical Data Landscape in the Humanities. A Case for the Joint Bibliodata Agendas of Public Stakeholders - video presentation
<p>A video presenting the DARIAH's Bibliographical Data Working Group entitled <em>An Analysis of the Current Bibliographical Data Landscape in the Humanities. A Case for the Joint Bibliodata Agendas of Public Stakeholders. </em>The report is freely available on Zenodo: <a href="https://zenodo.org/record/6559857#.Y0XDo3ZBy5f">https://zenodo.org/record/6559857#.Y0XDo3ZBy5f</a>. </p> <p>This presentation aims to present the original work - co-authored by 18 WG's members - in a condensed manner.</p>
Stakeholder consultation analysis for the project "Proposal of a terminology of medication adherence enabling and supporting activities" (ENABLE terminology)
<p>These documents relate to the stakeholder consultation performed within the ENABLE COST action (European Network to Advance Best practices & technoLogy on medication adherencE, CA 19132) regarding a new terminology of medication adherence enabling and supporting activities. They include the data and quantitative analysis of the eDelphi survey performed in Malaga, Spain in May 2022, as part of this consultation.</p>
‘Sowing and harvesting water’: revisiting forest restoration in the Peruvian Andes through a multi-stakeholder analysis
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Data created in a stakeholder analysis of selected cases of Nature-Based Solutions in Scotland
<p>These data represent the results of a stakeholder analysis of selected cases of catchment-related 'Nature-Based Solutions' (NbS) in Scotland. This arose from a desk-based study to examine publicly-accessible website content and associated reports to assess the actors involved in Nature-Based Solutions (NbS), their attributes, and relationship to six NbS related initiatives in Scotland. These data were collected and analysed November 2022-March 2023. Please see the first tab for more information about the study, and the content on each of the tabs of the spreadsheet.</p> <p>This was carried out as part of investigation into Scaling and Mainstreaming Nature-based Solutions: WP4 of Project JHI-D2-2 in the 2022-2027 Strategic Research Programme funded by the Scottish Government. Please visit https://www.hutton.ac.uk/research/projects/scaling-and-mainstreaming-nature-based-solutions for more information about this project and a report which accompanies and used these data.</p>
Barriers and Facilitators of Key Stakeholders to Implement Remote Monitoring Technologies: a Mixed-methods Analysis
ClinicalTrials.gov study NCT05321004. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Stakeholder Analysis of the Heavy-Duty Mobile Machinery Industry
<p>The stakeholder analysis related to automated and autonomous heavy-duty mobile machines (HDMMs) performed in the context of the doctoral research of ESR 1 in the MORE project funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 858101</p> <p>The dataset was part of a mixed methods multiple case study and contains the results of the short survey as well as the interview transcripts. The dataset has been anonymised and/or pseudonymised to maintain context.</p> <p>The dataset was collected between March 2022 and September 2022.</p>
Mapping of the Stakeholders and Delphi Panel Analysis for Figs
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OpenNeuro
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