使地球科学实验室数据公平:地球物理实验室数据库的概念模型

IF 1.8 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY Geoscientific Instrumentation Methods and Data Systems Pub Date : 2023-07-13 DOI:10.5194/gi-2023-9
Sven Nordsiek, Matthias Halisch
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引用次数: 0

摘要

摘要。地球科学实验室测量一词涉及地球科学中的各种方法。因此,结果数据分别包含许多不同的数据类型、格式和大小。处理如此多样化的数据,例如,将数据存储在一个普遍适用的数据库中,是很困难的。目前存在一些针对不同学科的研究方法,但缺乏一个普遍适用于不同学科的地球科学实验室数据库。然而,将研究数据提供给特定社区以外的科学家已经变得越来越重要。在NFDI4Earth计划的一个试点项目中,我们为地球科学实验室数据库开发了一个概念模型。为了能够处理地球科学实验室研究的复杂设置,灵活性和可扩展性是所提出方法的关键属性。该模型旨在遵循FAIR数据原则,以促进跨学科的适用性。在本研究中,我们从现有的数据库模型中考虑不同的过程,并将这些方法纳入概念模型。
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Making geoscientific lab data FAIR: A conceptual model for a geophysical laboratory database
Abstract. The term of geoscientific laboratory measurements involves a variety of methods in geosciences. Accordingly, the resulting data comprise many different data types, formats, and sizes, respectively. Handling such a diversity of data, e.g., by storing the data in a generally applicable database, is difficult. Some discipline-specific approaches exist, but a geoscientific laboratory database that is generally applicable to different geoscientific disciplines is missing up to now. However, making research data available to scientists beyond a particular community has become increasingly important. Within a pilot project of the NFDI4Earth initiative, we developed a conceptual model for a geoscientific laboratory database. For being able to handle complex settings of geoscientific laboratory studies, flexibility and extensibility are key attributes of the presented approach. The model is intended to follow the FAIR data principles to facilitate interdisciplinary applicability. In this study, we consider different procedures from existing database models and include these methods in the conceptual model.
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来源期刊
Geoscientific Instrumentation Methods and Data Systems
Geoscientific Instrumentation Methods and Data Systems GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
3.70
自引率
0.00%
发文量
23
审稿时长
37 weeks
期刊介绍: Geoscientific Instrumentation, Methods and Data Systems (GI) is an open-access interdisciplinary electronic journal for swift publication of original articles and short communications in the area of geoscientific instruments. It covers three main areas: (i) atmospheric and geospace sciences, (ii) earth science, and (iii) ocean science. A unique feature of the journal is the emphasis on synergy between science and technology that facilitates advances in GI. These advances include but are not limited to the following: concepts, design, and description of instrumentation and data systems; retrieval techniques of scientific products from measurements; calibration and data quality assessment; uncertainty in measurements; newly developed and planned research platforms and community instrumentation capabilities; major national and international field campaigns and observational research programs; new observational strategies to address societal needs in areas such as monitoring climate change and preventing natural disasters; networking of instruments for enhancing high temporal and spatial resolution of observations. GI has an innovative two-stage publication process involving the scientific discussion forum Geoscientific Instrumentation, Methods and Data Systems Discussions (GID), which has been designed to do the following: foster scientific discussion; maximize the effectiveness and transparency of scientific quality assurance; enable rapid publication; make scientific publications freely accessible.
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