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16 results for “data stewardship”
Research Data Alliance Interest Group Professionalising Data Stewardship Career Tracks Survey Dataset
<p>This is the final dataset resulting from the data steward Career Tracks survey that the Reseach Data Alliance (RDA) Interest Group Professionalising Data Stewardship carried out in 2022. Data stewards were defined as professionals who aim at guaranteeing that data is appropriately treated in all stages of the research cycle (i.e., design, collection, processing, analysis, preservation, data sharing and reuse); we invited responses from participants who either now or in the past carried out data stewardship functions, regardless of their job title. The survey asked respondents about their job titles, the organizational context in which they work(ed) including contract types and domains, their educational background, and how they perceive their professional future. </p><p>This dataset publication includes:</p><ol><li>Survey response data in CSV format. The file includes data from 241 respondents who consented to participate in the survey and share the data via a repsoitory, who indicated that they either currently work or have worked in the past in a data stewardship role, and who responded to at least one further question.</li><li>Thematic analysis of the qualitative questions Q11 and Q12 in PDF format.</li></ol>
Projet de curation de donnée sur le data stewardship
<p>Travail réalisé dans le cadre du cours de Master IS Data Curation. Rassemble les informations en lien avec le métier de data steward provenant de publications présentes sur Google Scholar. </p>
RDA Data Stewardship Organisational Models Survey 2021 Output Dataset
<p>Data Stewardship comes in many forms and contexts, with the common goal of supporting data management. Yet that diversity can make it hard for the RDM community to further professionalise our work and services.</p> <p><br> The RDA Professionalising Data Stewardship Interest Group (PDS-IG) Models Task Group sought input from the research data community to help model different approaches to research data stewardship through an online survey in October to November 2021. An offline copy of the survey is available as a linked resource from this record.<br> <br> This dataset consists of a cleaned, anonymised responses from 136 respondents, though not all questions were answered by all respondents. The output are available in a CSV formatted file containing the full response set along with output from a thematic textual analysis undertaken on responses to a number of open-text questions in the survey.</p>
Research Data Stewardship Survey - University College Cork
<p>This survey aimed to help us gain an understanding of research data stewardship activities in UCC, the scope of those activities, identify any gaps in current resources and skills and work out where the Research Data Service fits with related roles and services. We hoped this activity would also help with the development of a data stewardship network across UCC for support, skills sharing, peer learning and the development of tailored skills development programs within UCC. It would also provide an evidence base to inform the model UCC should adopt in meeting its future research data requirements.</p> <p><br>Funders and publishers increasingly require researchers to formally manage their data and encourage or mandate FAIR and/or Open Data outputs. Both the National and European Codes of Research Conduct recognise that data management is central to research integrity and the quality and trustworthiness of research outputs across all disciplines. Research infrastructures in Europe are currently in a phase of development with continued expansion of the European Open Science Cloud (EOSC) and related<br>services. Successive reports internationally (Realising the EOSC, 2016, Turning FAIR into a Reality, 2018) and our own recently compiled National Landscape Report (NORF, 2021) highlighted a resource and skills gap in meeting the expectations and potential of FAIR research data and related research<br>infrastructures. Specifically, in relation to FAIR and Open Data, a set of skills, competencies, and responsibilities have been identified and grouped together under the umbrella of a new “Research Data Steward” role. Research data stewardship encompasses all the various tasks and responsibilities that<br>relate to research data management throughout the entire research lifecycle. The role of data steward is not universally defined yet and is influenced by the context and the needs of the researcher or unit. Across Europe, Research Performing Organisations have taken concrete steps to address this gap, for example by appointing new data steward positions or by re-focusing existing institutional skills and supports into designated competency centres for research data supports. TU Delft is an exemplar where eight newly established embedded data stewards, with domain expertise in the relevant faculty, complement a similar number of support staff based in central services such as the Library and IT Services.</p> <p><br>In UCC the Research Data Service provides a range of data stewardship supports to the research community from advisory to tailored training. The Research Data Service and Research Data Coordinator work closely with related services and roles to provide holistic advice on research data management to the UCC research community. The Clinical Research Facility–Cork has also developed a data stewardship service which is available on a consultancy basis to funded human focused research projects. However, the ask of researchers in terms of funder mandated data management plans and commitments to FAIR and Open Data continues to increase. Certainly in the case of the Research Data Service full capacity is fast approaching. As funders embed Open Science, and by extension data management, FAIR, and Open Data more firmly in their policies and requirements there is a risk that this will impact the competitiveness of our funding applications and the reach, impact and quality of our research outputs if we cannot meet researchers increasingly complex needs for research data stewardship support.</p> <p>We know that there are those engaged in research data stewardship activities throughout UCC although this may not be reflected in their job title. Those who engage in research data stewardship activities do not always identify as Data Stewards but contribute significantly to the data management lifecycle associated with research projects. Each stage of a research project can have specialist data stewardship requirements - these tasks are performed by people in a range of roles and positions including researchers, project managers, data managers, statisticians and data analysts, research assistants, technicians, systems administrators, or research software engineers to name but a few. To develop a holistic and coordinated approach data stewardship and research data management we needed to hear from the whole research ecosystem, those engaged in research and those facilitating it.</p>
Experiment Result Plots of Data Stewardship (FAIR - Assignment 1)
<p>These plots show the results of the experiment by creating a scatterplot of the variables and a line plot.</p>
Reduced ASCAT dataset for Data Stewardship Experiment 2023
<p>This dataset is a derived dataset of the original experiment, created by combining the H-SAF ASCAT SSM CDR and associated static layers. The original sources are <a href="https://ismn.earth/en/">ISMN</a> and <a href="https://hsaf.meteoam.it/">ASCAT</a> . The dataset includes reduced spatial and temporal coverage, providing a subset of the original data for specific analysis purposes. It consists of the reduced ASCAT soil moisture data and relevant static layers such as terrain and soil porosity. The "warp5_grid" is also included, representing the grid information. With reduced it is meant that some cell locations were omitted. The dataset serves as a preprocessed input for the research project focused on soil moisture analysis.</p>
Data Stewardship Materials
<p>Dataset contains materials on data stewardship- DMP, FAIR, Repositories for research data management.</p>
Data Stewardship in den deutschen FDM-Landesinitiativen
<p>Bereinigte und anonymisierte Ergebnisse einer Umfrage unter den deutschen FDM-Landesinitaitiven zum Thema Data Stewardship. Die Daten sind Grundlage der Masterarbeit "Navigieren durch die Forschungsdatenlandschaft – eine quantitative Analyse von Data Stewardship in den deutschen FDM-Landesinitiativen".</p> <p>Die Struktur der Umfrage inklusive Fragetexten und Antwortlabeln findet sich in der Datei "Umfragestruktur" im XML-Format.</p> <p>Eine Dokumentation zu den Datenbereinigungsmaßnahmen findet sich im Dokument "Datenbereinigungsmaßnahmen".</p>
Data Stewardship DMP Exercise Result Data
<p>This data is the result of a machine learning classification experiment performed for the Data Stewardship course at TU Vienna. All files contain classification results for the Breast Cancer dataset.</p>
Marine Stewardship Council (MSC) pre-assessment report data 2009-2019
<p>An MSC pre-assessment is an optional rapid high-level audit against the MSC Fisheries Standard. This data set contains 77 publicly available pre-assessments from the years 2009 to 2019. Each report has been broken down to the Unit of Assessment level for the species, gear and area targeted, client and assessor information, the associated MSC certified fisheries where relevant, and the scoring assessment to the relevant Performance Indicator level.</p> <p>This data set does NOT include all the pre-assessments ever conducted. Pre-assessments conducted confidentially are not included and reports published after 2016 were not required for the purposes of the project so most were excluded from data collection. However, some reports were collected before the project had been defined and so we have included those that were produced after 2016 in this dataset even though they were not used in the study, in case they could be of use to others. </p> <p>This information was collected for the purposes of a project run internally at the MSC and was accepted for publication in Fish and Fisheries (Rasal et al. in prep). The reports were sourced from various websites across the internet but a large proportion came from Fishery Progress and are shared with permission from Fishery Progress. Further details for these pre-assessments can be found at https://fisheryprogress.org/. Pre-assessment reports that were shared confidentially with the MSC directly by the client fisheries, totalling 182 reports, are not included in this public dataset. All MSC certification scores are available for each certified fishery in their Public Certification Reports, which are publicly available at https://fisheries.msc.org/en/fisheries/.</p> <p>The downloadable excel document contains a sheet with descriptions of the column headers, and another sheet with the dataset contained.</p> <p>Disclaimer:</p> <p><span>This data has been manually collated by MSC from pre-assessment reports prepared by third party assessors. MSC carries out data assurance to a standard that is fit for the purpose the information is used for, including being complete, accurate and as up to date as possible. If accuracy is paramount to a finite resolution, receivers are asked to validate data against publicly available pre-assessment reports. The MSC is not responsible for any issues arising to any parties as a result of any information provided therein.</span></p>
The roles of data stewards in the data stewardship landscape identified in Denmark and the Netherlands
<p>The roles and stakeholders in the data stewardship landscape that were identified in Denmark and the Netherlands align very well as is shown in the Figure. </p> <p>References:<br> Danish project report: <strong> </strong>Wildgaard, L., Vlachos, E., Nondal, L., Larsen, A. V., & Svendsen, M. (2020, January 31). National Coordination of Data Steward Education in Denmark: Final report to the National Forum for Research Data Management (DM Forum) (Version 1). Zenodo. <a href="http://doi.org/10.5281/zenodo.3609516">http://doi.org/10.5281/zenodo.3609516</a><br> Dutch project report: Scholtens, S., Jetten, M., Böhmer, J., Staiger, Ch., Slouwerhof, I., Van der Geest, M. & Van Gelder, C.W.G.. (2019, October 3). Final report: Towards FAIR data steward as profession for the lifesciences. Report of a ZonMw funded collaborative approach built on existing expertise. Zenodo. <a href="http://doi.org/10.5281/zenodo.3474789">http://doi.org/10.5281/zenodo.3474789</a> <br> Dutch project report: Jetten, M. et al. Professionalising data stewardship in the Netherlands: competences, training and education - Dutch roadmap towards national implementation of FAIR data stewardship (to be published in 2021)</p>
Raw data and SPSS analysis for the article Bacterial and fungal co-infections among ICU COVID-19 hospitalized patients in a Palestinian hospital: Incidence and antimicrobial stewardship
<p>The attached data is related to a study with proposes to investigate the burden of bacterial and fungal co-infections outcomes on COVID-19 patients. It is a single-center cross-sectional study of hospitalized COVID-19 patients at Beit-Jala hospital in Palestine. The study included 321 hospitalized patients admitted to the ICU between June 2020 and March 2021 aged ≥20 years,</p> <p><b>Background:</b> Diagnosis of co-infections with multiple pathogens among hospitalized COVID-19 patients can be jointly challenging and very essential for appropriate treatment, shortening hospital stay and preventing antimicrobial resistance. This study proposes to investigate the burden of bacterial and fungal co-infections outcomes on COVID-19 patients. It is a single center cross-sectional study of hospitalized COVID-19 patients at Beit-Jala hospital in Palestine.</p> <p><b>Methods: </b>The study included 321 hospitalized patients admitted to the ICU between June 2020 and March 2021 aged ≥20 years, with a confirmed diagnosis of COVID-19 via RT-PCR conducted on a nasopharyngeal swab. The patient's information was gathered using graded data forms from electronic medical reports.</p> <p><b>Results:</b> The diagnosis of bacterial and fungal infection was proved through the patient`s clinical presentation and positive blood or sputum culture results. All cases had received empirical antimicrobial therapy before the ICU admission, and different regimens during the ICU stay. The rate of bacterial co-infection was 51.1%, mainly from gram-negative isolates (Enterobacter species and K.pneumoniae). The rate of fungal co-infection caused by A.fumigatus was 48.9%, and the mortality rate was 8.1%. However, it is unclear if it had been attributed to SARS-CoV-2 or coincidental.</p>
Raw data and SPSS analysis for the article Bacterial and fungal co-infections among ICU COVID-19 hospitalized patients in a Palestinian hospital: Incidence and antimicrobial stewardship
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Data from: Cost-minimization model of a multidisciplinary antibiotic stewardship team based on a successful implementation on a urology ward of an academic hospital
Background: In order to stimulate appropriate antimicrobial use and thereby lower the chances of resistance development, an Antibiotic Stewardship Team (A-Team) has been implemented at the University Medical Center Groningen, the Netherlands. Focus of the A-Team was a pro-active day 2 case-audit, which was financially evaluated here to calculate the return on investment from a hospital perspective. Methods: Effects were evaluated by comparing audited patients with a historic cohort with the same diagnosis-related groups. Based upon this evaluation a cost-minimization model was created that can be used to predict the financial effects of a day 2 case-audit. Sensitivity analyses were performed to deal with uncertainties. Finally, the model was used to financially evaluate the A-Team. Results: One whole year including 114 patients was evaluated. Implementation costs were calculated to be €17,732, which represent total costs spent to implement this A-Team. For this specific patient group admitted to a urology ward and consulted on day 2 by the A-Team, the model estimated total savings of €60,306 after one year for this single department, leading to a return on investment of 5.9. Conclusions: The implemented multi-disciplinary A-Team performing a day 2 case-audit in the hospital had a positive return on investment caused by a reduced length of stay due to a more appropriate antibiotic therapy. Based on the extensive data analysis, a model of this intervention could be constructed. This model could be used by other institutions, using their own data to estimate the effects of a day 2 case-audit in their hospital.
Data from: Cost-minimization model of a multidisciplinary antibiotic stewardship team based on a successful implementation on a urology ward of an academic hospital
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Data from: Subdivision design and stewardship affect bird and mammal use of conservation developments
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