Taking it to the stacks: Libraries and the research data afterlife | Summary and Q&A

TL;DR

This talk explores the challenges and opportunities in data management for agriculture research, including the need for data organization, infrastructure, and accessibility.

Key Insights

• 😀 Agriculture research faces challenges in data management, including the lack of organizational infrastructure, difficulty in accessing and sharing data, and the need for proper curation and preservation.
• ♿ Collaboration between agronomists and librarians is crucial for addressing these challenges and ensuring the accessibility and usability of agricultural data.
• 👨‍🔬 Data management can bring various benefits to agriculture research, including improved decision-making, collaboration, reproducibility, and evidence-based recommendations.

Transcript

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Questions & Answers

Q: What are the main challenges in data management for agriculture research?

Some of the main challenges include the lack of data organization and infrastructure, difficulty in accessing and sharing data, and the need for proper data preservation and curation. Additionally, there is a need for collaboration and coordination between different stakeholders to address these challenges effectively.

Q: How can data management benefit agriculture research?

Effective data management can lead to better decision-making in agriculture by providing access to high-quality data. It can also facilitate collaboration, enable reproducibility of research, support evidence-based recommendations, and promote data-driven innovations in the field.

Q: What role do libraries play in agriculture data management?

Libraries can play a crucial role in data management for agriculture research by providing expertise in organizing, preserving, and sharing data. They can also support researchers in data curation and help ensure the long-term accessibility and usability of agricultural data.

Q: How can the agriculture research community address challenges in data management?

The community can address these challenges through increased awareness and education about data management best practices, fostering collaboration between agronomists and librarians, and advocating for the development of infrastructure and policies that support data management efforts. Additionally, funding agencies can play a role by supporting data management initiatives and requiring data management plans.

Summary & Key Takeaways

• The speaker discusses the ongoing journey and challenges in data management for agriculture research, including the need for field to landscape analysis and quantitative assessment of productivity and environmental objectives.

• The importance of data preservation, curation, and sharing is highlighted, as well as the need for organizational infrastructure to support these efforts.

• The speaker emphasizes the need for collaboration between agronomists and librarians to address data management issues and ensure the accessibility and usability of agricultural data.