바로가기메뉴

본문 바로가기 주메뉴 바로가기

A Study on the Quality Control and Operating System of Standard Reference Data(SRD)

Journal of Korean Library and Information Science Society / Journal of Korean Library and Information Science Society, (P)2466-2542;
2005, v.36 no.2, pp.283-305


  • Downloaded
  • Viewed

Abstract

Data produced during scientific and technical activities usually have value as standard reference data (SRD) which is a well-documented numeric value assessed for reliability and accuracy. The main criteria in the evaluation for SRD is how well their production is documented including a sample preparation, measurement method, data processing and so on, other than reference data. SRD is represented as a certified numeric value with uncertainty. In this study, the SRD in the area of material properties was introduced to provide understanding of SRD and its evaluation method. Also the national SRD system was studied. The national SRD system is composed of the center for the SRD, the data centers, and the committee. The role and task of those components were studied. The legislational and systematic supports for the system were proposed in this study.

keywords
Standard Reference Data(Srd), Science and Technology Data, Data Evaluation, Evaluation Process, Standard Reference Data(Srd), Science and Technology Data, Data Evaluation, Evaluation Process, 참조표준, 과학기술데이터, 데이터 평가, 데이터 평가절차

Reference

1.

산업자원부, (2004.) 참조표준 평가시스템 구축 '04 산업기술기반조성사업 사전연구 기획보고서.,

2.

(1999.) 국가표준기본법 제3조 7항(정의) 제16조(참조표준의 제정 및 보급) 동 시행령 14조(참조표준의 제정 및 보급),

3.

정낙삼 , (2003.) 국제측정학용어집(VIM). ,

4.

정낙삼 등. , (1999.) 측정불확도 표현지침.,

5.

Barrett, ASTM Manual on the Building of Material Databases. Crystal H,

6.

Franz, (1966.) Information Handling in the National Standard Reference Data System,

7.

Brady, (1964.) National Standard Reference Data System Plan of Operation,

8.

ISO/IEC17025, (1999.) General Requirements for the Competence of Testing and Calibration Laboratories,

9.

Lide, (1984) The National Standard Reference Data System of the United States,

10.

Qian, (2002) Data Quality Assurance for Thermophysical Property Databases- Applications to the TRC SOURCE Data System,

11.

Kuhn, (1994) Criteria of Quality Assessment for Scientific Database Journal of Chemical Information Computer Science,

Journal of Korean Library and Information Science Society