Managing data in collaborative research starts with the researcher: A Soil CRC case study

Area of Science:

• Collaborative science
• Interdisciplinary research centers
• Soil science research

Background:

• Data sharing readiness is crucial for scientific integrity and policy in collaborative research.
• Low data maturity among researchers hinders effective data management and research outcomes.
• Understanding researchers' data management practices is key to improving data readiness.

Purpose of the Study:

• To assess the data maturity and data readiness of participants in a soil research collaboration.
• To identify gaps in data management knowledge and practices among researchers.
• To inform strategies for enhancing data management skills and support.

Main Methods:

• A mixed-methods approach combining surveys, focus groups, and interviews.
• Survey included diverse question types on data management topics.
• Participants represented farmer groups, universities, industry, and government agencies from Australia and New Zealand.

Main Results:

• Researchers demonstrated low overall data maturity and readiness.
• Participants expressed unfamiliarity with core data management concepts.
• A strong desire for further training, education, and support in data management was evident.

Conclusions:

• Improving data readiness through enhanced data management skills is vital for high-quality research.
• Targeted training and support are necessary to address identified gaps in data management.
• Investing in data management capabilities will foster enduring research integrity and impact.