and often FAIR vs. unFAIR is feared,
by chance, or by lack of training.
But thy eternal persistent identifiers shall not end.
Nor lose possession of the FAIR thou owest.
So long as Cassie can breathe, and open data she can attend,
So long lives this, and gives life to thee.
#CaSDaR
Quick check for anyone and submitting to the #CaSDaR Data Stewardship Funding Call. Does anyone know the exact submission cut-off time tomorrow (and time zone) @CaSDaRnetwork. Thanks.
🚀 We will be launching our first funding call to support Data Stewardship initiatives at our Hybrid Event Launch ➡️ https://t.ly/yqC93
📧 Registrations are still open! Seats are limited, book your free slot today: https://t.ly/yqC93
🚀 We will be launching our first funding call to support Data Stewardship initiatives at our Hybrid Event Launch ➡️ https://www.eventbrite.com/e/careers-and-skills-for-data-driven-research-casdar-hybrid-event-launch-tickets-1496323607189
📧 Registrations are still open! Seats are limited, book your free slot today: https://www.eventbrite.com/e/careers-and-skills-for-data-driven-research-casdar-hybrid-event-launch-tickets-1496323607189
Just like weekends restore balance and give us time to tidy up, rest, and plan, data stewards bring structure and sustainability to the data ecosystem. They ensure data is well-documented, properly formatted, ethically managed, and ready for reuse, so that when the next “Monday” (or dataset) arrives, everything is in place.
Without weekends, burnout creeps in. Without data stewards, data chaos takes over. ✌️
3️⃣ Data Versioning & Provenance – They track changes, sources, and workflows, creating a transparent record that supports verification and reuse.
Data Stewards protect the integrity of the research process.
💬 How is your team building for reproducibility?
#CaSDaR #DataStewardship #ReproducibleResearch #FAIRData #ResearchData #OpenScience #MetadataMatters
🔹 Policy fluency – Navigating legal and ethical frameworks like GDPR, open data mandates, and domain standards.
🔹 Interdisciplinary agility – Working across research, IT, legal, and governance teams.
🔹 Tech competence – Familiarity with data platforms, version control, ontologies, and automation tools.
Data Stewards are no longer behind-the-scenes. They are collaborators, strategists, and enablers of responsible data use.
#DataStewardship #ResearchData #FAIRData #DataGovernance #CaSDaR
🕔 5 PM: Documented, validated, standardised. Another day of invisible wins for data quality and reusability. 🎯
📌 Being a data steward isn’t glamorous, but it’s essential. They’re the quiet force behind trustworthy research and FAIR data futures. What does your day as a Data Steward look like?
#DataStewardship #CaSDaR #FAIRData #ResearchData #LifeOfADataSteward
As data volumes and complexity grow, it's time we stop treating stewardship and governance as separate conversations. They are two sides of the same (well-documented, FAIR-aligned) coin.
💬 Are your governance frameworks empowering your stewards—or overwhelming them? Let’s discuss how we can bridge the strategy-to-execution gap.
We aim to establish a Network of Data Stewards that operates with integrity, transparency, and societal benefit. Anyone conducting research under the auspice of the network will be expected to undergo mandatory ethics training to ensure they adhere appropriately to UKRI responsible innovation policies and ethics guidelines.
the British Library,and more recently as academic lead for Digital Preservation Southampton, a new enterprise unit dedicated to meeting community needs around the long-term stewardship of complex digital assets, and as Co-Lead on Coastal and Inland Waters Heritage Science Facility, a new RICHeS funded research infrastructure.
In the research life cycle, data stewards are the unsung heroes who ensure datasets are organized, documented, and reusable. Without them, context is lost, metadata vanishes, and continuity breaks down, turning valuable research into an unsolvable puzzle.
Stewardship isn’t just good practice but, is essential for reproducibility, collaboration, and long-term impact.
#DataStewardship #ResearchData #FAIRdata #CaSDaR #OpenScience #DataManagement #ResearchIntegrity
Without clear governance, data lacks structure. Without stewardship, rules remain just words on paper. Together, they build the foundation for trustworthy, high-quality data that drives confident decisions.
Think of Governance as the blueprint and Stewardship as the builder—both are essential for a resilient data strategy.
Invest in both. Your data, and your business will thank you.
Precision, documentation, and just a little bit of swagger. 😎
Ain’t no party like a Data Stewards party, 'cause a Data Stewards party don’t lose track of metadata! 🕺📁✨
Here’s to the unsung heroes who keep our data clean, our projects reproducible, and our research future-proof. Because without metadata, it’s just a mess in a spreadsheet!
#DataStewardship #MetadataMatters #CaSDaR #ResearchData #FAIRData #OpenScience #DataParty
By embedding stewardship practices into the research lifecycle, we want to empower researchers to maximize the reuse, reproducibility, and long-term utility of their data.
This drives innovation, fosters collaboration, and upholds the credibility of scientific inquiry. Whether in health, climate, social sciences, or engineering, effective data stewardship is a cornerstone of research excellence.
Our vision is to create a self-sustaining community of Data Stewards,with a key goal of supporting the development of their skills and career paths at an institutional level, primarily for organisations and disciplines where data stewardship is not well catered for e.g. by well-resourced centralised disciplinary data facilities.
#CaSDaR #Research #DataStewards #Community #SkillDevelopment
We're at the London Lab Live!
Dr. Samantha Pearman-Kanza, will be talking about FAIR Data: Have we failed FAIR or has FAIR failed us?
📅15th May, 2025
⌚ 14:30 BST onwards
Don't miss out! We'll be sharing more updates soon, follow us!
Our goal is to establish a diverse, inclusive, self-sustaining community of Data Stewards and to create a model for data steward support systems within research intensive institutions, thereby clarifying their role and integration within the research data lifecycle.
How can data stewardship tasks be successfully shared? Sabina Keller and Lukas Hörtnagl (Grassland Sciences research group at Department of Environmental Systems Science (D-USYS), ETH Zürich) provide some insights.
Data stewardship in a research group does not have to be a “one-person show”. What synergies can be used when working in tandem to overcome challenges and make a research group's work more efficient?
Isobel Stark has held roles in local and regional groups including:RLUK Open Strategy Network, Science and Engineering South Research Data Group (alongside Pearman-Kanza), and ARMA Research and Innovation Culture SIG.
Pearman-Kanza and Stark have delivered workshops and training to researchers, librarians and research managers (ranging in backgrounds and career stages) to equip them with skills to manage and share dataveffectively and responsibly.
Client Info
Server: https://mastodon.social
Version: 2025.07
Repository: https://github.com/cyevgeniy/lmst