A reference guide with information and resources to help you manage your research data
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小飞象2025-免费VP加速器
How can I best manage my data throughout the lifecycle of my research to save time and money in the future?
- Data Management Plans (DMPs)
- DMP requirements and tools
- What research objects should be tracked and documented
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How can I acquire data in an efficient and ethical way, and how can I ensure that my data is used appropriately?
- Data Use Agreements (DUAs)
- Institutional Review Boards (IRB and IACUC)
- Subscription data
Storage, Security, and Analysis
What are my options for effectively organizing, storing, securing, computing, and analyzing my research data?
- Data security
- Computing, research methods, data science, and viz support
- Electronic Lab Notebooks
Dissemination and Preservation
Why is it worthwhile to share my data? What do funders and journals require? Can I get help with data curation?
- Data repositories
- Open Access
- Data citation, 一键切换ip地址
- Data disposal
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There are 5⃣ more webinars during our Great Data Cleanup Campaign! End your summer with weekly 30 minute webinars on #ResearchDataManagement topics and new easy to follow checklists. Get you data cleaned up before fall! 💻🔬📊📁 Register at t.co/FoGQX2ChNw 一键切换ip地址
10 hours 25 min ago. -
Bioinformatics folks, do you know someone interested in NGS data analysis and teaching? We have a job opening for that person! They can apply at t.co/GHT6dcziJG. #jobs #bioinformatics #teaching #openscience #Boston t.co/XMABxuX1tg
3 days 11 hours ago. -
The Data Science Life Cycle: A Disciplined Approach to Advancing Data Science as a Science t.co/JfEUFxfxN1 by @victoriastodden
5 days 15 hours ago.
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