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X-WR-CALNAME:CaSDaR
X-ORIGINAL-URL:https://casdar.ac.uk
X-WR-CALDESC:Events for CaSDaR
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DTSTART:20260101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260706T123000
DTEND;TZID=UTC:20260706T153000
DTSTAMP:20260619T062034
CREATED:20260604T164644Z
LAST-MODIFIED:20260604T165059Z
UID:1541-1783341000-1783351800@casdar.ac.uk
SUMMARY:CaSDaR Data Stewardship Training #1- Principles of Research data management
DESCRIPTION:Overview\nJoin us for the first session in the CaSDaR Data Stewardship Training series\, designed specifically for data stewards looking to strengthen their research data management practice. \nThis hands-on training will equip you with the foundational knowledge and practical tools needed to manage research data effectively\, consistently\, and in line with best practices across disciplines. \nWhether you are new to data stewardship or looking to consolidate your existing skills\, this session provides a solid grounding in the core principles that underpin good RDM. \nThis Training Session will be run by Digital Curation Centre (DCC). \nWhat You’ll Learn\n\nBy the end of this session\, you will be able to:\nApply best practices for organising\, documenting\, and preserving research data across a range of disciplines\nDesign robust file naming conventions and folder structures that support long-term accessibility and consistency\nNavigate common data types and formats\, and make informed choices based on their strengths and limitations\nCreate comprehensive data documentation\, including README files and codebooks\, for complex datasets\n\nAgenda\n\n12:30: Best practices for organizing\, documenting\, and preserving research data across various disciplines. Participants will learn how to apply these practices to their specific research context.\n13:30: File Naming Conventions and Folder Structures: Establishing robust and consistent organizational systems for long-term data management and accessibility. Common Data Types and Formats: Understanding strengths and limitations of various data formats\n14:30: Comprehensive Data Documentation: README files\, codebooks\, and documentation strategies for complex datasets.
URL:https://casdar.ac.uk/event/casdar-data-stewardship-training-1-principles-of-research-data-management/
LOCATION:Online
CATEGORIES:CaSDaR Events,Training Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260713T123000
DTEND;TZID=UTC:20260713T153000
DTSTAMP:20260619T062034
CREATED:20260604T164947Z
LAST-MODIFIED:20260604T165800Z
UID:1544-1783945800-1783956600@casdar.ac.uk
SUMMARY:CaSDaR Data Stewardship Training #2 - Data ethics and data protection
DESCRIPTION:Overview\n\n\n  \n\n\n\n\nJoin us for the second session in the CaSDaR Data Stewardship Training series\, where we turn our focus to one of the most critical and complex areas of research data management: ethics\, data protection\, and the handling of sensitive data. \nAs data stewards\, navigating the legal\, ethical\, and institutional frameworks surrounding research data is an essential part of the role. This session will provide you with the knowledge and practical grounding to handle sensitive data responsibly\, ensure compliance with data protection regulations\, and uphold the rights and dignity of research participants. \nThis training session will be run by Digital Curation Centre (DCC). \nWhat You’ll Learn\nBy the end of this session\, you will be able to: \n\nIdentify and apply ethical principles when sharing research data\, including managing informed consent\nRecognise categories of sensitive data and apply appropriate handling procedures\nAlign your data stewardship practice with relevant data protection legislation and institutional requirements\n\nAgenda\n\n12:30: Ethical Principles in Data Sharing: Navigating the ethical considerations surrounding data sharing and ensuring informed consent\n13:30: Sensitive data handling\n14:30: Data Protection Impact Assessments (DPIAs): Conducting DPIAs to identify and mitigate potential privacy risks.\n\n\n\n\n\n 
URL:https://casdar.ac.uk/event/casdar-data-stewardship-training-2-data-ethics-and-data-protection/
LOCATION:Online
CATEGORIES:CaSDaR Events,Training Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260720T123000
DTEND;TZID=UTC:20260720T153000
DTSTAMP:20260619T062034
CREATED:20260604T170053Z
LAST-MODIFIED:20260604T170053Z
UID:1548-1784550600-1784561400@casdar.ac.uk
SUMMARY:CaSDaR Data Stewardship Training #3 - FAIR Data
DESCRIPTION:Overview\n\n\n \n\n\n\n\n\nJoin us for the third session in the CaSDaR Data Stewardship Training series\, dedicated to the FAIR principles. FAIR (Findable\, Accessible\, Interoperable\, and Reusable) has become the cornerstone of open science and responsible data stewardship. This session will take you from the foundational concepts behind FAIR all the way through to practical implementation\, giving you the tools and strategies to make research data and other research objects genuinely FAIR in your day-to-day work. \nThis training session will be run by Digital Curation Centre (DCC). \nWhat You’ll Learn\nBy the end of this session\, you will be able to: \n\nExplain the FAIR data principles and articulate their importance for research and open science\nApply practical FAIRification approaches to datasets and other research objects\nDevelop and evaluate metadata strategies that improve the discoverability and reusability of research outputs\n\nAgenda:\n\n12:30: Introduction to FAIR data and CARE principles\n13:30: Assessing FAIRness of research data objects with F-UJI\n14:30: Quality Assurance and FAIR Principles: Assessing and improving metadata quality for discoverability and reusability
URL:https://casdar.ac.uk/event/casdar-data-stewardship-training-3-fair-data/
LOCATION:Online
CATEGORIES:CaSDaR Events,Training Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260727T110000
DTEND;TZID=UTC:20260727T153000
DTSTAMP:20260619T062034
CREATED:20260602T101853Z
LAST-MODIFIED:20260604T165715Z
UID:1538-1785150000-1785166200@casdar.ac.uk
SUMMARY:CaSDaR Data Stewardship Training #4 - Mastering Metadata
DESCRIPTION:Overview\nAs research becomes increasingly data-driven\, the quality and consistency of metadata play a critical role in ensuring research outputs remain discoverable\, reusable\, interoperable\, and sustainable over time. Yet many research teams and support professionals face ongoing challenges with inconsistent formats\, duplicated values\, incomplete documentation\, and fragmented workflows that limit the impact and reuse potential of valuable datasets. \nThis hands-on workshop responds to the growing need for practical metadata stewardship skills across the research landscape. Designed for Data Stewards and professionals supporting research data management\, the session introduces approaches to efficiently clean\, standardise\, enrich\, and transform metadata using tools such as OpenRefine. \nParticipants will explore how metadata practices support FAIR principles\, data sharing\, repository ingest\, and cross-disciplinary reuse. Through practical exercises and collaborative discussion\, attendees will gain experience addressing real-world metadata challenges commonly encountered in research environments. \nTopics Covered\n\nIdentifying and resolving issues in messy or inconsistent metadata using OpenRefine\, including:\nInconsistent naming conventions and date formats\nClustering and merging equivalent values.\nComplex data transformations\nBatch editing\nEnhancing metadata quality and interoperability through:\nControlled vocabularies and reconciliation services\nPersistent identifiers (e.g.\, ORCID\, DOI)\nFAIR-aligned metadata practices\nCrosswalking between metadata standards through intellectual mapping and semi-automated workflow creation.\nTesting batch metadata ingest to repositories.\n\nKey Activities\n\nHands-On Session 1: Metadata Cleaning and Transformation with OpenRefine\n\n\nHands-On Session 2: Metadata Standards\, Reconciliation\, and Interoperability\n\n\nCollaborative Challenge: Applying skills to a new dataset\n\n\nGroup Discussion & Reflection\n\nPre-Workshop Requirements\nIn advance of the workshop\, please: \n\nCreate a GitHub account and email your username to digitalpreservation@soton.ac.uk so we can share the learning materials with you.\nDownload OpenRefine and test that it is running on your machine.\n\nAbout Digital Preservation Southampton\nDPS is an enterprise unit based in Digital Humanities at the University of Southampton. We offer consultancy\, training\, and data recovery services to organisations across sectors. To learn more about our regular series of workshops in digital preservation skills\, visit our website. \nNB: Links to join this session online will be sent out shortly before the training. Please note that this training has a capacity of 20 people\, so if you sign up and are unable to attend please do cancel to allow someone else to take your place.
URL:https://casdar.ac.uk/event/casdar-data-stewardship-training-4-mastering-metadata/
LOCATION:Online
CATEGORIES:CaSDaR Events,Training Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260803T123000
DTEND;TZID=UTC:20260803T153000
DTSTAMP:20260619T062034
CREATED:20260604T170324Z
LAST-MODIFIED:20260604T170324Z
UID:1551-1785760200-1785771000@casdar.ac.uk
SUMMARY:CaSDaR Data Stewardship Training #5 - Data Selection and Preservation
DESCRIPTION:Overview\n\n\n \n\n\n\n\nJoin us for the fifth session in the CaSDaR Data Stewardship Training series\, where we turn our attention to two deeply interconnected pillars of responsible data stewardship: data selection and long-term preservation. \nIn an era of ever-growing data volumes\, knowing what to keep\, how to keep it\, and for how long is one of the most consequential decisions a data steward can make. Poor selection and preservation practices put research outputs at risk of being lost\, inaccessible\, or unusable over time — undermining both the scientific record and the investment made in collecting the data in the first place. \nThis session will equip you with the frameworks\, tools\, and practical judgment needed to make sound decisions about data selection and to implement robust preservation strategies that stand the test of time. \nThis training session will be run by Digital Curation Centre (DCC). \nWhat You’ll Learn\nBy the end of this session\, you will be able to: \n\nApply structured criteria for selecting which data and research objects should be retained\, archived\, or disposed of\nUnderstand the key principles and standards underpinning long-term digital preservation\nAssess the risks to data longevity and put mitigation strategies in place
URL:https://casdar.ac.uk/event/casdar-data-stewardship-training-5-data-selection-and-preservation/
LOCATION:Online
CATEGORIES:CaSDaR Events,Training Events
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