首页> 美国卫生研究院文献>Database: The Journal of Biological Databases and Curation >FAIR digital objects in environmental and life sciences should comprise workflow operation design data and method information for repeatability of study setups and reproducibility of results
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FAIR digital objects in environmental and life sciences should comprise workflow operation design data and method information for repeatability of study setups and reproducibility of results

机译:环境和生命科学中的公平数字对象应包括工作流程操作设计数据和方法信息可用于研究设置的可重复性和结果的再现性

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摘要

Repeatability of study setups and reproducibility of research results by underlying data are major requirements in science. Until now, abstract models for describing the structural logic of studies in environmental sciences are lacking and tools for data management are insufficient. Mandatory for repeatability and reproducibility is the use of sophisticated data management solutions going beyond data file sharing. Particularly, it implies maintenance of coherent data along workflows. Design data concern elements from elementary domains of operations being transformation, measurement and transaction. Operation design elements and method information are specified for each consecutive workflow segment from field to laboratory campaigns. The strict linkage of operation design element values, operation values and objects is essential. For enabling coherence of corresponding objects along consecutive workflow segments, the assignment of unique identifiers and the specification of their relations are mandatory. The abstract model presented here addresses these aspects, and the software DiversityDescriptions (DWB-DD) facilitates the management of thusly connected digital data objects and structures. DWB-DD allows for an individual specification of operation design elements and their linking to objects. Two workflow design use cases, one for DNA barcoding and another for cultivation of fungal isolates, are given. To publish those structured data, standard schema mapping and XML-provision of digital objects are essential. Schemas useful for this mapping include the Ecological Markup Language, the Schema for Meta-omics Data of Collection Objects and the Standard for Structured Descriptive Data. Data pipelines with DWB-DD include the mapping and conversion between schemas and functions for data publishing and archiving according to the Open Archival Information System standard. The setting allows for repeatability of study setups, reproducibility of study results and for supporting work groups to structure and maintain their data from the beginning of a study. The theory of ‘FAIR++’ digital objects is introduced.
机译:研究设置的可重复性和基础数据的研究结果的再现性是科学的主要要求。到目前为止,缺乏用于描述环境科学研究结构逻辑的抽象模型缺乏,数据管理的工具不足。可重复性和可重复性的强制性是使用复杂的数据管理解决方案超出数据文件共享。特别是,它意味着沿工作流程维持相干数据。设计数据涉及来自次级操作域的元素正在转换,测量和交易。操作设计元素和方法信息是针对从字段到实验室活动的每个连续工作流程段指定的。操作设计元素值,操作值和对象的严格链接至关重要。为了使相应对象沿着连续的工作流程段启用相对,必须是唯一标识符的分配和其关系的规范。这里呈现的抽象模型解决了这些方面,软件多样性识别(DWB-DD)促进了所连接的数字数据对象和结构的管理。 DWB-DD允许单独的操作设计元素规范及其链接到对象。给出了两个工作流程设计用例,给出一个用于DNA条形码,另一个用于培养真菌分离物。要发布那些结构化数据,标准架构映射和XML提供数字对象是必不可少的。适用于此映射的模式包括生态标记语言,集合对象的元常规数据的模式和结构化描述性数据的标准。具有DWB-DD的数据管道包括根据开放档案信息系统标准的数据发布和归档的模式和函数之间的映射和转换。该设置允许研究设置的可重复性,研究结果的再现性以及支持工作组的结构,并从研究开始维护他们的数据。介绍了“公平++”数字对象的理论。

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