Weaving a Knowledge Network for Deep Carbon Science

Frontiers in Digital Humanities

Ma, Xiaogang¹  Zednik, Stephan²  Erickson, John²  West, Patrick²  Zhong, Hao²  Eleish, Ahmed²  Fox, Peter²  Chen, Yu²  Wang, Han² 

[1] Department of Computer Science, University of Idaho, Moscow, ID, USA;Tetherless World Constellation, Rensselaer Polytechnic Institute, Troy, NY, USA

关键词: Data stewardship;    knowledge network;    eScience;    Semantic Web;    ontologies;   

DOI  :  10.3389/feart.2017.00036

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

Geoscience researchers are increasingly dependent on informatics and the Web to conduct their research. Geoscience is one of the first domains that take lead in initiatives such as open data, open code, open access, and open collections, which comprise key topics of Open Science in academia. The meaning of being open can be understood at two levels. The lower level is to make data, code, sample collections and publications, etc. freely accessible online and allow reuse, modification and sharing. The higher level is the annotation and connection between those resources to establish a network for collaborative scientific research. In the data science component of the Deep Carbon Observatory (DCO), we have leveraged state-of-the-art information technologies and existing online resources to deploy a web portal for the over 1000 researchers in the DCO community. An initial aim of the portal is to keep track of all research and outputs related to the DCO community. Further, we intend for the portal to establish a knowledge network, which supports various stages of an open scientific process within and beyond the DCO community. Annotation and linking are the key characteristics of the knowledge network. Not only are key assets, including DCO data and methods, published in an open and inter-linked fashion, but the people, organizations, groups, grants, projects, samples, field sites, instruments, software programs, activities, meetings, etc. are recorded and connected to each other through relationships based on well-defined, formal conceptual models. The network promotes collaboration among DCO participants, improves the openness and reproducibility of carbon-related research, facilitates accreditation to resource contributors, and eventually stimulates new ideas and findings in deep carbon-related studies.

【 授权许可】

CC BY