CIRAD Dataverse

CIRAD Dataverse allows CIRAD's researchers and partners to store data produced or co-produced in the framework of collective research work or projects. The range of CIRAD's research has given rise to numerous datasets and databases associating various types of data: primary (collected), secondary (analysed, aggregated, used for scientific articles, etc), qualitative and quantitative. These "collections" of research data are used for comparisons, to study processes and analyse change. They include: genetics and genomics data, data generated by trials and measurements (using laboratory instruments), data generated by modelling (interpolations, predictive models), long-term observation data (remote sensing, observatories, etc), data from surveys, cohorts, interviews with players.

CIRAD Dataverse供CIRAD的研究人员及其合作伙伴存储其在集体研究工作或项目框架内产生或联合研发的数据。该机构的研究范畴覆盖多元领域，由此催生了大量整合多种类型数据的数据集与数据库：涵盖原始采集数据、经分析整合且可用于学术论文发表等场景的次级数据，以及定性与定量数据。这类研究数据“合集”可用于开展对比研究、解析相关进程并分析变化趋势。其涵盖内容包括：遗传与基因组学数据、通过试验与测量（借助实验室仪器）生成的数据、通过建模（插值、预测模型）生成的数据、长期观测数据（遥感、观测台站等），以及来自调研、队列研究与利益相关方访谈的数据。

搜集汇总

背景与挑战

背景概述

CIRAD Dataverse是CIRAD研究机构的官方数据存储库，支持研究人员及合作伙伴存储、共享和公开在集体研究项目中产生的各类数据。该库涵盖农业科学、环境科学和社会科学等多个学科领域，包含遗传学、试验测量、模型预测及长期观测等多种数据类型。