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FAIR Wizard

@fair_wizard

Building a data management planning platform focusing on integrations into existing research workflows.

Tweets about #DMPs, #FAIRdata, #OpenScience, and more.

ID: 1518495420573442049

linkhttps://fair-wizard.com/newsletter?utm_source=x&utm_content=bio calendar_today25-04-2022 07:43:07

544 Tweet

358 Followers

1,1K Following

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Data stewards are essential for maintaining data quality, but their expertise comes at a cost. This includes: • Salaries and training • Time dedicated to policy creation • Ongoing support and guidance Make sure you invest in the right resources to support your data

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Monitoring and real-time data insights are essential for every business. That's what the Analytics app of the FAIR Wizard is for. See for yourself: youtu.be/7oLK0ppd-bo

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Outdated data can quickly become irrelevant. To make the best decisions, you need up-to-date information that reflects the most current situation or trends. • Implement automated data updates to ensure real-time or frequent data refreshes. • Set up alerts for when critical

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Data accuracy is essential for making informed decisions. When your data accurately represents real-world situations, you can trust the insights it provides and avoid costly mistakes. • Perform regular data validation checks to identify and correct errors. • Cross-check data

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Preparing your data starts with creating a comprehensive Data Management Plan (DMP) to lay the groundwork for how data will be handled. • Develop a Data Management Plan • Define data collection strategies • Identify tools and resources needed

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Valid data is critical for trustworthy results. Ensure your data follows the correct formats, rules, and standards so it can be accurately analyzed and used in decision-making. • Define strict validation rules and checks for all data inputs. • Use data validation software to

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📄 Streamline Your Documentation with FAIR Wizard! 🚀 Did you know that data entered into the FAIR Wizard can be used to generate multiple outputs? With document templates, you can create both human-readable and machine-actionable formats—effortlessly! You can also use the same

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Is your data and metadata easily readable by machines? Consider adopting languages such as RDF, OWL, or JSON-LD to improve accessibility and make your data more usable for others.

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Reliable data is the cornerstone of consistent outcomes. If your data doesn’t provide dependable results over time, you risk making decisions based on faulty or unpredictable information. • Establish regular data quality checks to ensure consistency over time. • Use trusted

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Metadata is essential. Without it, data becomes almost impossible to use—how can we work with data if we don’t know where it’s located or how it’s organized? Make sure your data is always accompanied by detailed metadata.

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To ensure long-term accessibility, preserve your data in suitable formats and enable sharing through repositories for future use and collaboration. • Archive data in appropriate formats • Share data through repositories • Facilitate data reuse and access

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Data management planning is like pre-flight preparation for an aircraft. By thoroughly checking and preparing everything beforehand, you significantly boost your chances of a smooth journey. Just like pilots use checklists to ensure they don’t overlook crucial details, your

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🎥 See FAIR Wizard in Action! In just 2 minutes and 37 seconds, this video walks you through a researcher's workflow in FAIR Wizard. Watch how easily data can be entered and transformed into a Data Management Plan - all in a few simple steps! Ready to streamline your research