Our project, the DIAS (Data Integration and Analysis System) started in 2006, has a purpose of constructing data infrastructure that can integrate earth observation data, numerical model outputs, and socio-economic data effectively. From October 2010, we have released research data and research result data in the DIAS. The 4-years increased amount of released data have improved the environment that we provide research data to the people not related to our project. Limited term project is difficult to continue to release research data in a sustained manner. It is necessary to establish a management system for long-term research data in anticipation that the DIAS is transferred to the long-term operational system in the future. In this paper, we describe the current status of the DIAS data release, and discuss the issues for sustainable maintenance of data and metadata in the DIAS.
In many scientific fields, most data are digitized and handled on computers and networks. The data files are getting larger in size and numbers. Science clouds, which are equipped with both flexibility and specialty applicable for countless scientific studies, are believed to play important roles as an infrastructure of big-data sciences and inter-disciplinary studies. The NICT Science Cloud is designed to work with functions of data crawling and transfer, data preservation and management, and data processing and visualization. We have developed applications, tools, systems and services designed for these three functions (especially for Earth and space environmental sciences) installed on the NICT Science Cloud. By applying these functions to each science project, researchers are able to advance their studies. In this paper, we first introduce the NICT Science Cloud. We next report our 2-years operations of the cloud system based on several fact data. Finally, results of research works using the cloud system are discussed with focusing on how we effectively take advantage of a cloud system on research works in various fields.
A web application is important technology as a user interface of open scientific data, but it is required to develop without vulnerability. NICT is also required to a framework which enables to develop a secure webapplication even if a client does not have enough development skills or specialized knowledge. This paper reports about the proposed method for cooperation with as ecure webapplication development to a client in general competitive bidding.
In 2008, the International Council for Science (ICSU) established the World Data System (WDS) to ensure the long-term stewardship and provision of quality-assessed data and data services to the international science community and other stakeholders. One of the objectives of the WDS is to support and make progress of interdisciplinary and cross-over studies data analyses covering a variety of research fields. In 2010, the NICT Science Cloud, which is one of the projects of the National Institute of Information and Communications Technology (NICT), has initiated a sub-project to realize the WDS's concept of the interdisciplinary data activity. In this paper, we demonstrate potential capability of our Web application for interdisciplinary data analysis, which is now operated on the NICT Science Cloud. In the initial stage of the system development, we constructed a basic concept and an initial design of the Web application, taking into account our long-term experiences in data-oriented activities under the WDC (World Data Center) system of the ICSU, which was an ICSU's data program operated from 1957 to 2008, preceded the WDS. Based on our design, we have implemented the Web application for data plots on the basis of the HTML5 and the Ajax technologies. Data plots can be previewed on the Web application with higher usability and better handleability than those of traditional data-plot tools developed for multiple-datasets. We finally discuss feasibility and potential usefulness of the Web application for future interdisciplinary data–analysis activities of the WDS.
We propose a loosely coupled implementation model that allows cataloging systems to record FRBR Work and Expression entities linking bibliographic records maintained by libraries. The proposed model enables a cataloging system that records Work and Expression entities to operate independently from existing cataloging systems. We have developed a prototype system that uses CiNii Books as an existing cataloging system and have shown its feasibility.
This paper presents a novel feature to discriminate authors from Japanese texts, based on notations and syllabic writings usage patterns. These two properties are particular to Japanese texts. The proposed indicator's performance was compared to part-of-speech 3-gram and comma usage patterns, both considered as best methods for author identification tasks. Texts written by college students and published novels were analyzed. The proposed indicator provides a novel viewpoint to capture authors' characteristics, and its precision is equivalent to conventional best indicators.