在合作研究中管理数据从研究人员开始:土壤CRC案例研究
Nathan Robinson1,2, Jude Channon1,2, Simon Clarendon2,3,4
1Centre for eResearch and Digital Innovation, Federation University, Mt Helen, Australia.
Accountability in research
|July 11, 2025
概括
研究人员显示数据成熟度和准备度较低,突出了改善数据管理技能和合作科学倡议培训的关键需求. 这对于确保研究完整性和可靠结果至关重要.
科学领域:
- 协作科学 协作科学
- 跨学科研究中心跨学科研究中心.
- 土壤科学研究研究土壤科学研究
背景情况:
- 准备好共享数据对于科学完整性和协作研究政策至关重要.
- 研究人员的数据成熟度低,阻碍了有效的数据管理和研究成果.
- 了解研究人员的数据管理实践是提高数据准备度的关键.
研究的目的:
- 评估土壤研究合作参与者的数据成熟度和数据准备程度.
- 发现研究人员在数据管理知识和实践中的差距.
- 为提高数据管理技能和支持的战略提供信息.
主要方法:
- 一种混合方法的方法,结合了调查,重点小组和采访.
- 调查包括各种各样的数据管理主题问题类型.
- 参与者代表了来自澳大利亚和新西兰的农民团体,大学,工业和政府机构.
主要成果:
- 研究人员表明,总体数据成熟度和准备程度较低.
- 参与者表示对核心数据管理概念不熟悉.
- 显而易见的是,人们对进一步培训,教育和数据管理方面的支持有强烈的愿望.
结论:
- 通过增强数据管理技能来提高数据准备度,对于高质量的研究至关重要.
- 有针对性的培训和支持是必要的,以解决数据管理中发现的差距.
- 投资于数据管理能力将促进持久的研究完整性和影响.
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