• Title/Summary/Keyword: DataCite

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A Study on the expansion of the Z39.88 KEVFormat:Sch-Svc for Scientific Data (과학데이터 관련 Z39.88 KEVFormat:Sch-Svc 확장 연구)

  • Kim, sun-tae;Lee, tae-young
    • Proceedings of the Korea Contents Association Conference
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    • pp.41-42
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    • 2011
  • DataCite 메타데이터 요소를 분석하여 OpenURL 학술 서비스 유형을 기술하기 위한 메타태그를 Key/Encoded-Value (KEV) 형식으로 확장 제안하였다. 학술 서비스 유형 분석을 위해 Scopus와 Web of Science, NDSL 서비스를 비교 검토하여 8개의 학술서비스 유형을 도출하였다. 또한 과학데이터 기술을 위한 DataCite 컨소시엄의 메타데이터 요소를 집중적으로 분석하여 9개의 대표속성을 도출 하였다.

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A Study on the Expansion of Meta-Tag for Research Data in Scholarly Service Type of OpenURL (연구데이터와 관련된 OpenURL의학술서비스 유형 메타태그의 확장에 대한 연구)

  • Kim, Sun-Tae;Lee, Tae-Young
    • Journal of Information Management
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    • v.42 no.4
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    • pp.39-58
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    • 2011
  • This paper presents a meta-tag expanded from scholarly service types of OpenURL written in Key/Encoded-Value format, after analyzing new scholarly service types and DataCite metadata elements which are for research data publishing and services. So far, OpenURL Z39.88 standard, KEVFormat: Sch-Svc, supporting six scholarly service type only, the expansion of this standard is needed for a research data circulation. New eight scholarly service types were extracted, after analyzing and comparing with the Scopus, Web of Science, and NDSL services. And nine representative attributes were extracted, after analyzing intensively the DataCite's elements.

Deriving the Properties of Object Types for Research Data Relation Model

  • Kim, Suntae
    • Journal of Information Science Theory and Practice
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    • v.1 no.2
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    • pp.84-92
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    • 2013
  • In this study, the properties of the object types required to describe the relationship among research data resources, which may be generated during the life cycle of the research, are derived. The properties of Fedora Commons and DSpace, which are open source software used for resource management, and schema properties published in DataCite were analyzed. Based on relation names of Fedora Commons, nine new relation names were derived. Thirty-eight object type properties consolidating the target properties of the analysis were derived. The result of this study can be used as basic material for crosswalk research studies of object type relation terms to ensure interoperability among the systems.

A Study on the Design of Metadata for Research Data Management in Forestry Engineering (임산공학 분야 연구데이터 관리를 위한 메타데이터 설계에 관한 연구)

  • Kim, Juseop;Han, Yeonjung;Youe, Wonjae;Kim, Suntae
    • Journal of the Korean Society for Library and Information Science
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    • v.54 no.4
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    • pp.169-194
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    • 2020
  • Recently, many academic fields are developing metadata to manage data produced in the field. Metadata to support a specific academic field beyond the general field is considered essential for searching, managing, sharing, and reusing research data in the field. Therefore, in this study, metadata items were derived to manage research data produced in forestry engineering. In order to derive metadata items, mapping work was performed on 7 metadata such as FGDC-CSDGM, ISO 19115, NEFIS, INSPIRE, ANZLIC, DataCite 4.3, and TTA.KO-10.0976. As a result of this study, 6 mandatory, 13 recommendations and 9 optional elements were derived. The derived metadata can be used as an item to systematically manage research data in the field of forestry engineering.

A Study on a Model for Using and Preserving Scientific Data (과학데이터 보존 및 활용모델에 관한 연구)

  • Kim, Sun-Tae;Hahn, Sun-Hwa;Lee, Tae-Young;Kim, Yong
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.21 no.4
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    • pp.81-93
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    • 2010
  • This study is to suggest a model for preservation and circulation of scientific data as Records. Analysis for national trends in U.S., British, Australia, Europe about scientific data was performed. Foreign advanced programs on management of scientific data were surveyed and analyzed. The analyzed programs were DataCite, WDS, PANGAEA, Dataverse, BSRN, DLESE, GCMD and SEDIS. Common implications were deducted from each program. With the results of analyzing the programs, this study proposed a model for preservation and circulation of scientific data.

The Current State and Recommendations for Data Citation (데이터 인용의 현황과 제언)

  • Kim, Jihyun;Chung, EunKyung;Yoon, JungWon;Lee, Jae Yun
    • Journal of the Korean Society for information Management
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    • v.34 no.1
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    • pp.7-29
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    • 2017
  • Data citation remains in its infancy, although providing the citation to a journal article is a typical norm in an academic community. This study examines the need for data citation, its principles and guidelines for improving the issue. In addition, the study investigates cases that established data citation mechanism, including DataCite, Dataverse Network and Data Citation Index that define elements of data citation and provide relevant services. At the end, it explores the current state of data citation in Korea through the analysis of citations to dataset from Korean General Social Survey.

A Study on the OpenURL META-TAG of Observation Research Data for Metadata Interoperability (관측분야 과학데이터 관련 메타데이터 상호운용성 확보를 위한 OpenURL 메타태그 연구)

  • Kim, Sun-Tae;Lee, Tae-Young
    • Journal of Information Management
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    • v.42 no.3
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    • pp.147-165
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    • 2011
  • This paper presents a core meta-tag of OpenURL written in Key/Encoded-Value format in the field of observation research, to distribute the scientific data, produced in many experimentations and observations, on the OpenURL service architecture. So far, the OpenURL hasn't supplied a meta-tag represented scientific data because it has focused on circulation of scholarly and technological information extracted from thesis, proceedings, journals, literatures, etc. The DataCite consortium metadata were analyzed and compared with the Dublin Core metadata, OECD metadata, and Directory Interchange Format metadata to develop a core meta-tag in observation research.

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.

Analysis of the Current Status of Data Repositories in the Field of Ecological Research

  • Kim, Suntae
    • Proceedings of NIE
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    • v.2 no.2
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    • pp.139-143
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    • 2021
  • In this study, data repository information registered in re3data (re3data.org), a research data registry, was collected. Based on collected data, the current status was analyzed for 354 repositories (approximately 14% of total repositories) in the field using keywords in the ecological field suggested by two experts. Major metadata formats used to describe data in ecological research data repositories include Federal Geographic Data Committee Content Standard for Digital Geospatial Metadata (FGDC/CSDGM), Dublin Core, ISO 19115, Ecological Metadata Language (EML), Directory Interchange Format (DIF), Darwin Core, Data Documentation Initiative (DDI), and DataCite Metadata Schema. The number of ecological repositories according to country is 102 in the US, 34 in Germany, 31 in Canada, and one in Korea. A total of 771 non-profit organizations and 12 for-profit organizations are involved in the construction of the ecological field research data repository. Data version control ratio of the ecological field research data repositories registered in re3data was analyzed to be somewhat higher (86.6%) than the total ratio (83.9%). Results of this study can be used to establish policies to build and operate a research data repository in the ecological field.

A Study on Ontology Design for Research Data Management (연구데이터 관리를 위한 온톨로지 설계에 대한 연구)

  • Park, Ok Nam
    • Journal of Korean Society of Archives and Records Management
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    • v.18 no.1
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    • pp.101-127
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    • 2018
  • The systematic management of research data is vital because it increases research data's value for research reproduction, verification, and reusability. Standard metadata will play a key role in research data registration, management, and data extraction. Research data has various structural relationships, such as research, research data, data sets, and files, and associated with entities such as citations and research results. The study proposes an ontology model for research data management. It also suggests the application of ontology to NTIS. Previous studies, metadata standard analyses, and research data repository case studies were conducted.