External Drivers: Funders and Publishers | Summary and Q&A

TL;DR

Data management is crucial for scientific discovery and efficient use of resources, and it involves principles such as data sharing and preservation. Requirements for data management plans vary depending on the funding source, and additional guidance is provided by different programs. Libraries can play a role in improving the usability of scientific software and in supporting researchers in data management.

Transcript

don't want people to be worried about how to write a data management plan we want them to be worried about how to manage their data and then writing the plan should be the easy part so this is sort of the elements suggested elements is just a sort of you know it's like a framework that you can work through and the idea is that if you answer all of ... Read More

Key Insights

• ❓ Effective data management is crucial for scientific discovery and resource utilization.
• 🌱 Requirements for data management plans vary depending on the funding source, and additional guidance may be provided by specific programs.
• 🖐️ Libraries can play a role in supporting researchers in data management and improving the usability of scientific software.

Questions & Answers

Q: What are the principles of effective data management?

Effective data management can accelerate scientific discovery and promote efficient resource utilization. It involves principles such as data sharing and preservation, which help validate research results and broaden the value of research data.

Q: What are the requirements for data management plans?

Requirements for data management plans vary depending on the funding source. Proposals submitted for research funding to the Office of Science must include a data management plan that describes how data will be shared and preserved. Additional requirements and guidance may apply depending on the specific program.

Q: What role do libraries play in data management?

Libraries can support researchers in improving the usability of scientific software and in managing their data. They can provide guidance on data storage, retrieval, and integration, and assist in data preservation and data sharing.

Q: How can data management plans enable validation of research results?

Data management plans should describe how data sharing and preservation will enable the validation of research results. This can involve providing access to specific data sets or allowing others to replicate experiments or analyses.

Summary & Key Takeaways

• Effective data management can enhance scientific discovery and resource utilization.

• Data management planning should be incorporated into research planning to ensure data sharing and preservation.

• Requirements for data management plans vary depending on the funding source, and additional guidance is provided by specific programs.

• Libraries can assist in improving the usability of scientific software and supporting researchers in data management.