• Title/Summary/Keyword: research data

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Schema Class Inheritance Model for Research Data Management and Search (연구데이터 관리 및 검색을 위한 스키마 클래스 상속 모델)

  • Kim, Suntae
    • Journal of the Korean Society for information Management
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    • v.31 no.2
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    • pp.41-56
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    • 2014
  • The necessity of the raw data management and reuse is issued by diffusion of the recognition that research data is a national asset. In this paper, a metadata design model by schema class inheritance and a metadata integrated search model by schema objects are suggested for a structural management of the data. A data architecture in which an schema object has an 1 : 1 relation to the data collection was designed. A suggested model was testified by creation of a virtual schema class and objects which inherit the schema class. It showed the possibility of implement systematically. A suggested model can be used to manage the data which are produced by government agencies because schema inheritance and integrated search model present way to overcome the weak points of the 'Top-dow Hierarchy model' which is being used to design the metadata schema.

A Study on Functional Details and Importance of Geoscience Research Data Management (Geoscience 연구데이터 관리를 위한 기능별 세부요소 및 중요도에 관한 연구)

  • Kim, Juseop;Kim, Suntae;Choi, Sangki
    • Journal of the Korean Society for Library and Information Science
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    • v.54 no.1
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    • pp.411-440
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    • 2020
  • The purpose of this study is to derive the detailed elements of each RDM function that can be applied to the development of research data management system in Geoscience field in Korea. Eight institutions related to RDM services were analyzed to achieve the research purpose. As a result of the analysis, 80 detailed elements of Geoscience RDM function were derived, and a survey was conducted to domestic experts to verify the derived details. As a result, 80 RDM functional details for Geoscience are presented in order of importance. The elements presented can be presented as functional details in the establishment and operation of RDM services in the field of Geoscience in research institutes or university libraries in Korea.

Data Life Cycle Proposal for Research Data Management (연구 데이터 관리를 위한 데이터 라이프 사이클 제안)

  • Kim, Juseop;Kim, Suntae;Jeon, Yerin
    • Journal of the Korean Society for Library and Information Science
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    • v.53 no.4
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    • pp.309-340
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    • 2019
  • Although overseas countries have already developed data life cycle for the preservation and curation of data since the 1990s, the research in Korea has been very insufficient. In this study, we analyzed the data life cycles developed in DCC, ICPSR, IWGDD, DataONE, USGS and UKDA to propose data life cycle for efficient management of research data. As a result of the analysis, the common components derived are 'Plan', 'Create & Collect', 'Process', 'Preserve', 'Dispose', 'Access & Use', 'Describe', 'Assure' and 'Backup & Secure'. In addition, the nine components were subdivided into stages to describe the details to be carried out at that stage. It is expected that the content of this study will be applicable in the future development of data life cycle for research data management in Korea.

The Functional Requirements of Core Elements for Research Data Management and Service (연구 데이터 관리 및 서비스를 위한 핵심요소의 기능적 요건)

  • Kim, Juseop;Kim, Suntae;Choi, Sangki
    • Journal of the Korean Society for Library and Information Science
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    • v.53 no.3
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    • pp.317-344
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    • 2019
  • Increasing the value of data, paradigm shifts in research methods, and specific manifestations of open science indicate that research is no longer text-centric, but data-driven. In this study, we analyzed the services for DCC, ICPSR, ANDS and DataONE to derive key elements and functional requirements for research data management and services that are still insufficient in domestic research. Key factors derived include DMP writing support, data description, data storage, data sharing and access, data citations, and data management training. In addition, by presenting functional requirements to the derived key elements, this study can be applied to construct and operate RDM service in the future.

Strategies for Improving the Collection and Use of Research Data in the Humanities (인문학 분야 연구데이터의 수집 및 활용성 증진을 위한 전략 연구 - 기초학문자료센터를 중심으로 -)

  • Shim, Wonsik;Ahn, Hye-yeon;Byun, Jeayeon
    • Journal of the Korean Society for Library and Information Science
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    • v.49 no.3
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    • pp.155-183
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    • 2015
  • The rapid growth of information technologies and data networks has increased the volume of data generated from scholarly research and the possibilities of re-using and sharing such data. However, there is a serious problem of management and sharing of research data due to the lack of facilitating policies and supporting infrastructure. In particular, few data repositories exist that support systematic collection and sharing of research data in the humanities. In this regard, the Korea Research Memory (KRM) established by the Korea Research Foundation is a rare exception. The purpose of this research is to present specific processes and strategies that can facilitate the data collection, reuse and preservation through the KRM using task analysis and source document gathering as main focal points. In addition, in order for the effective collection and sharing of research data, the following recommendations are proposed: 1) the need for the adoption of data management plan related policies that govern the collection and sharing of research data generated from publicly funded research projects, 2) the need for training and support services for individual researchers and research institutes, 3) the need for training data specialists, and 4) the citation scheme and structure designed for research data.

A Study on Evaluation Model for Usability of Research Data Service (연구데이터 서비스의 유용성 평가 모형 연구)

  • Park, Jin Ho;Ko, Young Man;Kim, Hyun Soo
    • Journal of the Korean Society for information Management
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    • v.36 no.4
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    • pp.129-159
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    • 2019
  • The Purpose of this study is to develop an evaluation model for usability of research data service from the angles of evaluating usefulness of research data service itself and research data use experience-based usability. First, the various cases of evaluating usability of data services are examined and 4 rating scales and 20 measuring indicators for research data service are derived as a result of comparative analysis. In order to verify validity and reliability of the rating scale and the measuring indicators, the study conducted a survey of 164 potential research data users. KMO Bartlett Analysis was performed for validity test, and Principle Component Analysis and Verimax Rotating Method were used for component analysis on measuring indicators. The result shows that the 4 intrinsic rating scales satisfy the validity criteria of KMO Barlett; A single component was determined from component analysis, which verifies the validity of measuring indicators of the current rating scale. However, the result of 12 user experience-based measuring indicators analysis identified 2 components that are each classified as rating scale of utilization level and that of participation level. Cronbach's alpha of all 6 rating scales was 0.6 or more for the overall scale.

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.

Current Status and Issues of Data Management Plan in Korea (데이터 관리 계획의 국내 현황 및 과제)

  • Choi, Myung-seok;Lee, Sanghwan
    • The Journal of the Korea Contents Association
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    • v.20 no.6
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    • pp.220-229
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    • 2020
  • With the recent development of digital technology, the research paradigm is evolving towards data-driven. National management and utilization of research data is a key element not only to enhance research transparency and efficiency, but also to prepare for a data-driven society. Policies and infrastructure for sharing and utilization of research data from publicly-funded research are being actively promoted worldwide. In Korea, related regulations were recently revised to mandate to submit a data management plan (DMP) when proposing a national R&D project. In order to effectively implement the sustainable DMP system, researchers need various support. In addition, guidelines and implementation procedures are essential for management and utilization of research data at the national or institutional level. In this paper, we provide an overview of the data management plan, examine the current status and issues in Korea, and suggest a template and checklists of data management plan, and an implementation procedure at research institutes.

A Study on the analysis of Research Data Management and Sharing of Science & Technology Government-funded Research Institutes (과학기술분야 출연연구기관 연구데이터 관리 및 공유 사례 분석 연구)

  • Park, Miyoung;Ahn, Inja;Nam, Seungjoo
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.29 no.4
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    • pp.319-344
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    • 2018
  • As a part of the open science policy, this study compared the perception of research data sharing and utilization by academic field. Based on this, in - depth interviews were conducted with semistructured questions to the data task managers of 27 government - funded research institutes in science and technology. Among them, nine excellent organizations were selected from the viewpoint of data management and cases of research data collection and management were specifically presented. The State of the collection and management of research data by the participating research institutes is generally a pilot project stage, and the level of collection and establishment of data also differs by institution. In terms of institutions, they are divided into three levels: the level of collection and establishment of data(KIOM), the advanced level of it (KIST), And level of steps to start sharing (KRIBB, KRICT).

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.