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7 results for “data steward”
Video 5 - Open Science: why do we need data stewards.
<p><span>An interview on the need of data professionals and Open Science skills with York Sure-Vetter, Director of NFDI, Germany and Professor at Karlsruhe Institute of Technology; Jessica Lindvall, Head of Training at SciLifeLab Training Hub; Anne Sophie Fink, Head of Data Management at DeiC (Denmark); and Sally Chambers, Director at DARIAH-EU.</span></p> <p><span>Modern research and technology can require not only large amounts of data, but also good data quality. Ensuring good data quality requires specialized expertise. Data stewards and other data management professionals support researchers with providing and working with good quality data which are also FAIR. Open software, open infrastructures are also important bits in the Open Science puzzle, all of which require funding. The uptake of Open Science depends on widespread Open Science awareness and skills. These require outreach, training and formal education.</span></p>
Data Files and Documentation - National Coordination of Data Steward Education in Denmark
<p>This site contains the Data Files and Documentation Files from the National Coordination of Data Steward Education in Denmark Project (2019-2020). The main deliverables from the project are:</p> <p>The Main Report:</p> <p><a href="https://doi.org/10.5282/zenodo.3609516">National Coordination of Data Steward Education in Denmark</a> (<strong>Main Report</strong>)</p> <p>and</p> <p>Wildgaard, Lorna</p> <p><a href="https://doi.org/10.5281/zenodo.3628375">Reframing Data Stewardship educations in Denmark and abroad</a> (<strong>Wildgaard</strong>)</p> <p> </p> <p>List of available Data and Documentation Files below:</p> <p><strong>Wildgaard </strong>and<strong> Main Report (section 2 Review of Data Steward Education)</strong></p> <p><em>1. DS_education_1_review_thematic_analysis.nvp (NVIVO-file) </em></p> <p><em>2. DS_education_2_review_coding_scheme (Excel) </em></p> <p><em>(Created by Wildgaard, Lorna)</em></p> <p><strong>Main Report (section 3 LinkedIn analysis)</strong></p> <p>No data available due to GDPR</p> <p><strong>Main Report (section 4 Job vacancies analysis)</strong></p> <p><em>3. DS_education_3_vacancies_and_method.zip (zip-file) </em></p> <p><em>4. DS_education_4_vacancies_top10_word_frequencies_geographical_location (Excel) </em></p> <p><em>(Created by Vlachos, Evgenios)</em></p> <p>The zip-file contains a text file describing the method used in the analysis (Method) and 119 pdf files with Data Steward vacancies.</p> <p><strong>Main Report (section 5 Questionnaire)</strong></p> <p><em>5. DS_education_5_questionnaire_questions </em></p> <p><em>6. DS_education_6_questionnaire_survey_report </em></p> <p><em>(Created by Vlachos, Evgenios & Knudsen, Christian B.)</em></p> <p><strong>Main Report (section 6 Interviews)</strong></p> <p>7. <em>DS_education_7_interviews_summaries_interview_1-4</em> </p> <p><em>(Created by Hüser, Falco)</em></p>
Data Steward Professional: Reference dataset of Data Steward related job vacancies for competences assessment
<p>Data Stewardship vacancies collection to support FAIRsFAIR Data<br> Stewardship Professional Competence Framework<br> <br> This dataset is provided to validate and support the analysis of Data<br> Stewardship competences.<br> The dataset includes a collection of vacancies from the popular job search<br> website <a href="http://indeed.com/">indeed.com</a> that responded to the search term "Data Steward".<br> <br> <strong>Acknowledgment</strong><br> The research leading to these results has received<br> funding from the Horizon2020 projects FAIRsFAIR<br> (grant number 831558)<br> <br> <strong>References</strong><br> FAIRsFAIR Project Deliverable D7.3 Data Stewardship<br> Professional Competence Framework, Work in Progress.<br> To be published Feb 2021<br> Yuri Demchenko, Lennart Stoy, Research Data Management and Data<br> Stewardship Competences in University Curriculum, In Proc. Data Science<br> Education (DSE), Special Session, EDUCON2021 – IEEE Global Engineering<br> Education Conference, 21-23 April 2021, Vienna, Austria</p>
Data stewards function landscape and its stakeholders
<p>The Figure shows the three main working areas of a data steward (Blue, purple and green circles). All three areas together ensure that research carried out at institutes or in projects produces FAIR data along the data life cycle. Data stewards interface and communicate between three stakeholders: 1) The policy makers such as funders, universities, the EU and the institutes’ deans. This group of stakeholders have a saying in how data should be handled; 2) The researchers and data scientists who produce data and work with the data on a daily basis with focus on research. They need to be enabled to handle data in a way which is policy compliant without losing the power to execute their research; And finally 3) the data and IT infrastructure providers, like ICT staff, technicians and application managers. This stakeholder group provides tools to which implement certain data policies and hence make it easier for scientists to manage their data in a policy compliant way. The three stakeholder groups are characterised by their own field of expertise and terminology. Data stewards can communicate between these stakeholder groups and provide hence the interface between fields of expertise.</p>
Video delle lezioni - Open Science come e perché / Corso Universitario Aggiornamento Professionale per Data Steward, Università di Torino marzo 2024
<p>Video delle lezioni su Open Science, FAIR data management, politiche europee per CUAP data steward Università di Torino</p> <p>Contenuto;</p> <ol> <li>[DA AGGIUNGERE]</li> </ol>
Daten zu "Die Rolle des Data Stewards in der deutschen Wissenschaftslandschaft. Eine Bestandsaufnahme"
<p>Data underlying the MA thesis "Die Rolle des Data Stewards in der deutschen Wissenschaftslandschaft. Eine Bestandsaufnahme" for the DDM study program (Fachhochschule Potsdam / Humboldt-Universität zu Berlin).</p> <p>This dataset contains information regarding research data management courses and resources for German universities. Please refer to the Readme.txt for further information.</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>
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OpenNeuro
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