• Title/Summary/Keyword: research data platform

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A Study on Metadata Interoperability between the National Research Data Platform and the Bio Research Data Platform (국가 연구데이터플랫폼과 바이오 연구데이터플랫폼의 메타데이터 상호운용성에 관한 연구)

  • Park, Seong-Eun;Ko, Young Man
    • Journal of the Korean Society for information Management
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    • v.39 no.2
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    • pp.159-202
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    • 2022
  • The 'National Research Data Platform' and the 'Bio Research Data Platform' were recently built and each is actively creating an ecosystem. It is built independently based on other metadata standards, which may cause future interoperability issues. The purpose of this study is to propose a basis for metadata interoperability between the two platforms. To this end, the metadata standards of each platform were analyzed, crosswork targets were selected and mapped, and the suitability of the mapped elements was verified through experts in the bio field. And more appropriate mapping elements were recommended to derive metadata elements for datasets and files. Through this, it was possible to confirm the possibility that the metadata of each platform could be semantically linked and the basis for securing interoperability.

Development of a National Research Data Platform for Sharing and Utilizing Research Data

  • Shin, Youngho;Um, Jungho;Seo, Dongmin;Shin, Sungho
    • Journal of Information Science Theory and Practice
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    • v.10 no.spc
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    • pp.25-38
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    • 2022
  • Research data means data used or created in the course of research or experiments. Research data is very important for validation of research conducted and for use in future research and projects. Recently, convergence research between various fields and international cooperation has been continuously done due to the explosive increase of research data and the increase in the complexity of science and technology. Developed countries are actively promoting open science policies that share research results and processes to create new knowledge and values through convergence research. Communities to promote the sharing and utilization of research data such as RDA (Research Data Alliance) and COAR (Confederation of Open Access Repositories) are active, and various platforms for managing and sharing research data are being developed and used. OpenAIRE (Open Access Infrastructure for Research In Europe), a research data platform in Europe, ARDC (Australian Research Data Commons) in Australia, and IRDB (Institutional Repositories DataBase) in Japan provide research data or research data related services. Korea has been establishing and implementing a research data sharing and utilization strategy to promote the sharing and utilization of research data at the national level, led by the central government. Based on this strategy, KISTI has been building a Korean research data platform (DataON) since 2018, and has been providing research data sharing and utilization services to users since January 2020. This paper reviews the characteristics of DataON and how it is used for research by showing its applications.

CANVAS: A Cloud-based Research Data Analytics Environment and System

  • Kim, Seongchan;Song, Sa-kwang
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.10
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    • pp.117-124
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    • 2021
  • In this paper, we propose CANVAS (Creative ANalytics enVironment And System), an analytics system of the National Research Data Platform (DataON). CANVAS is a personalized analytics cloud service for researchers who need computing resources and tools for research data analysis. CANVAS is designed in consideration of scalability based on micro-services architecture and was built on top of open-source software such as eGovernment Standard framework (Spring framework), Kubernetes, and JupyterLab. The built system provides personalized analytics environments to multiple users, enabling high-speed and large-capacity analysis by utilizing high-performance cloud infrastructure (CPU/GPU). More specifically, modeling and processing data is possible in JupyterLab or GUI workflow environment. Since CANVAS shares data with DataON, the research data registered by users or downloaded data can be directly processed in the CANVAS. As a result, CANVAS enhances the convenience of data analysis for users in DataON and contributes to the sharing and utilization of research data.

Developing Evaluation Criteria for Enterprise UX (엔터프라이즈 UX를 위한 평가 기준 개발)

  • Jung, Tae-Won;Yoon, So-Yeon;Nam, You-Seon;Seong, Da-In;Yoon, Yea-Jin;Lee, Min-Ho;Song, Sa-Kwang;Ha, Kwang-Soo
    • The Journal of the Korea Contents Association
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    • v.20 no.4
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    • pp.99-110
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    • 2020
  • Recently, as User Experience (UX) is considered as an important concept in the service design process of various fields, securing usability of Enterprise UX, UX developed for professional users, is acknowledged as an essential factor to increase work efficiency. The interface of Enterprise UX is complex and technically difficult for it is targeted for professional users. Thus, creating problems with complicated planning and relatively insufficient concerns regarding usability due to emphasis on development efficiency. It is necessary to consider various methods of usability, regarding further improvement is arduous in aspects of development and the cost. Therefore, this study aims to define the concept and specificity of Enterprise UX to improve usability and system effectively, and verify the main factors that reduce the usability of Enterprise UX. The evaluation of the research enterprise service, RDP (Research Data Platform), was conducted to establish and verify hypothesis. Furthermore, an independent evaluation standard for Enterprise UX is proposed after testing speculating factors that lower the usability of Enterprise UX. It is expected to utilize the Enterprise UX usability criteria defined through this study as a base data in enhancing usability and in designing Enterprise S/W.

A Case Study of the Australian Research Data Policy and Support Services (호주의 연구데이터 정책 및 지원체계에 대한 사례 분석)

  • Shim, Wonsik
    • Journal of the Korean Society for information Management
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    • v.36 no.4
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    • pp.227-251
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    • 2019
  • In early 2019, Korea passed the law that introduced data management plan policy similar to those adopted by national funding agencies in other countries. In anticipation of developing research data infrastructure and support services, this study analyzed Australia's relevant policies and policy instruments. A number of face-to-face interviews with the experts at the national funding agency, a national research data agency and a number of research libraries, along with focused literature analysis. In Australia, the 2015 Public Data Policy is applied to research data from publicly funded research. Research data management and sharing is recommended but not required by the national funding agency it its policy documents. Australian National Data Service(ANDS), Australia's national research data agency, is an important component of the national research infrastructure. ANDS plays a wide range of roles including research data platform development, education and training, policy support, and funding agency for small-scale R&D. Some of the Australian research libraries have developed in-house systems for research data storage and publishing. However, there is no significant demand for research data service as yet. Lessons learned include the following: ensuring transparency and predictability of research data policies, establishing a dedicated agency responsible for research data platform development and training, and cultivating data capabilities at research libraries.

Development of Evaluation Perspective and Criteria for the DataON Platform

  • Kim, Suntae
    • Journal of Information Science Theory and Practice
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    • v.8 no.2
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    • pp.68-78
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    • 2020
  • This study is a preliminary study to develop an evaluation framework necessary for evaluating the DataON platform. The first objective is to examine expert perceptions of the level of DataON platform construction. The second objective is to evaluate the importance, stability, and usability of DataON platform features over OpenAIRE features. The third objective is to derive weights from the evaluation perspective for future DataON platform evaluation. The fourth objective is to examine the preferences of experts in each evaluation perspective and to derive unbiased evaluation criteria. This study used a survey method for potential stakeholders of the DataON platform. The survey included 12 professionals with at least 10 years of experience in the field. The 57 overall functions and services were measured at 3.1 out of 5 for importance. Stability was -0.07 point and usability was measured as -0.05 point. The 42 features and services scored 3.04 points in importance. Stability was -0.58 points and usability was -0.51 points. In particular, the stability and usability scores of the 42 functions and services provided as of 2018 were higher than the total functions were, which is attributed to the stable and user-friendly improvement after development. In terms of the weight of the evaluation point, the collection quality has the highest weight of 27%. Interface usability is then weighted 22%. Subsequently, service quality is weighted 19%, and finally system performance efficiency and user feedback solicitation are equally weighted 16%.

Ice Hockey Research Data Platform from Official Records Data and Verification

  • Jin, Seung-kyo;Jang, Ji-hyun;Kim, Hye-young;Kim, Sun-tae
    • International Journal of Knowledge Content Development & Technology
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    • v.9 no.4
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    • pp.31-45
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    • 2019
  • In this study, a database was established by analyzing the record data research produced in ice hockey sports. The deployed data verification with Ice hockey reference service was demonstrated with ice hockey officials and players. This research utilized the data stored in the KNSU Datanest data repository and developed PDF parsers for batch processing of records. Among the types of records, the game summary, team roster, team statistics, and player statistics files were collected, and tables were extracted from the records. PDF records were converted to text in CSV format which are converted to DataFrame and loaded into the database. Out of the total 22 types of records, 4 types were constructed with OO data parsed as element values. Data verification has found no problems with the quality of the data deployed, showing a high satisfaction with providing 66 factors against the 30 factors provided by the service previously used.

Exploring National Science and Technology using Research Resource Knowledge Graph (연구리소스 지식그래프를 활용한 국가과학기술정보 탐색)

  • Cho, Minhee;Yim, Hyung-Jun;Song, Sa-kwang
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.621-623
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    • 2021
  • Open science policies are spreading that disclose, share, and utilize research results produced through government public funds. As a policy to revitalize open science, interest in research support services that allow easy search, access, and reuse of results is increasing. To support services to provide researchers with various information, we propose a research resource knowledge graph model to meaningfully express the relationship between the scattered various outcome data. In this paper, it contributes to the improvement of the service of the national research data platform DataON by meaningfully connecting national R&D task information, researcher information, performance information, and research data information.

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Metadata Element Design for Korean Medicine Research Data Management and Re-use (한의학 연구 데이터 관리 및 공유를 위한 메타데이터 요소 설계)

  • Yea, Sang-Jun;Jang, Ho;Kim, Suntae
    • Journal of the Korean Society for Library and Information Science
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    • v.53 no.2
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    • pp.223-246
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    • 2019
  • This research makes the metadata element design for Korean medicine research data management and re-use. Derived metadata elements are verified in research data of Korea Institute of Oriental Medicine. TTAK.K0-10.0976 Standard, DataCite metadata Schema and National Research Data Platform of KISTI were analyzed to derive the metadata elements. Including Identifier, 27 elements were derived as top-level elements with 29 mandatory elements, 13 recommended elements and 31 optional elements. The degree of elements' necessity and new metadata elements were investigated and suggested in the survey by six domain experts in korean medicine field. In this study subject classification for the korean medicine research data are suggested. The final version of metadata schema was tested and verified by comparing with the legacy metadata fields. The research results can be used to describe the Korean medicine research data: items and files.