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New Technology of Library and Information Service  2015, Vol. 31 Issue (12): 3-12    DOI: 10.11925/infotech.1003-3513.2015.12.02
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Review on the Scientific Metadata Standards and Research on Its Generic Design
Liu Feng1,2,3, Zhang Xiaolin1
1 National Science Library, Chinese Academy of Sciences, Beijing 100190, China;
2 Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China;
3 University of Chinese Academy of Sciences, Beijing 100049, China
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Abstract  

[Objective] Conduct a comprehensive analysis of scientific metadata standards and build a common metadata standards design model. [Methods] Make an overview and analysis of six typical metadata standards in different research fields and design common metadata standards of scientific data based on statistics. [Results] There are many obvious differences in format, organization, expression of metadata standards of different research fields, but there are also some similarities in its elements. [Conclusions] Discipline-oriented metadata standards of scientific data promote the development of scientific research, but also pose a challenge to the unified management and service of scientific data. Based on the statistics of metadata standards elements in different research fields and build a common metadata specification is an idea to solve this problem.

Received: 07 September 2015      Published: 06 April 2016
:  G250  

Cite this article:

Liu Feng, Zhang Xiaolin. Review on the Scientific Metadata Standards and Research on Its Generic Design. New Technology of Library and Information Service, 2015, 31(12): 3-12.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2015.12.02     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2015/V31/I12/3

[1] Bagley P R. Extension of Programming Language Concepts [R]. Philadelphia PA: University City Science Center, 1968.
[2] Ahronheim J R. Descriptive Metadata: Emerging Standards [J]. Journal of Academic Librarianship, 1998, 24(5): 395-403.
[3] Coyle K. Understanding Metadata and Its Purpose [J]. Journal of Academic Librarianship, 2005, 31(2): 160-163.
[4] Press N. Understanding Metadata [R/OL]. National Information Standards Organization, 2004. [2015-06-13]. http://www.niso. org/publica­tions/press/UnderstandingMetadata.pdf.
[5] Gill T, Gilliland A J, Whalen M, et al. Introduction to Metadata [M]. Getty Research Institute, 2008.
[6] Metadata [EB/OL]. [2015-06-13]. http://en.wikipedia.org/wiki/ Metadata/.
[7] Bretherton F P, Singley P T. Metadata: A User's View [C]. In: Proceedings of the 7th International Working Conference on Scientific and Statistical Database Management. IEEE, 1994: 166-174.
[8] Metadata Encoding & Transmission Standard (METS) [EB/OL]. [2015-06-13]. http://www.loc.gov/standards/mets/.
[9] Day M. DCC Digital Curation Manual: Instalment on Metadata [EB/OL]. [2015-06-13]. http://www.dcc.ac.uk/sites/ default/files/documents/resource/curation-manual/chapters/ metadata/metadata.pdf.
[10] Diederich J, Milton J. Creating Domain Specific Metadata for Scientific Data and Knowledge Bases [J]. IEEE Transactions on Knowledge and Data Engineering, 1991, 3(4): 421-434.
[11] Metadata Standards [EB/OL]. [2013-06-13]. http://www.dcc. ac.uk/resources/metadata-standards.
[12] Directory Interchange Format (DIF) Writer's Guide [EB/OL]. [2015-06-13]. http://gcmd.gsfc.nasa.gov/User/difguide/difman. html.
[13] Olsen L. Directory Interchange Format (DIF): Writer's Guide [EB/OL]. [2015-06-13]. http://gcmd.gsfc.nasa.gov/add/difguide/ whatisadif.html.
[14] Darwin Core [EB/OL]. [2015-06-13]. http://rs.tdwg.org/dwc/ index.htm.
[15] Simple Darwin Core [EB/OL]. [2015-06-13]. http://rs.tdwg. org/dwc/terms/simple/index.htm.
[16] Dublin Core [EB/OL]. [2013-06-13]. http://dublincore.org/.
[17] TDWG [EB/OL]. [2015-06-13]. http://www.tdwg.org/.
[18] Darwin Core Terms [EB/OL]. [2015-06-13]. http://rs.tdwg. org/dwc/terms/.
[19] Darwin Core [EB/OL]. [2015-06-13]. http://en.wikipedia.org/ wiki/Darwin_Core.
[20] DDI [EB/OL]. [2015-06-13]. http://www.ddialliance.org/.
[21] DDI-Community [EB/OL]. [2015-06-13]. http://www.ddial­liance.org/alliance.
[22] Thomas W, Gregory A, Gager J, et al. User Guide for DDI Version 3.2 [EB/OL]. [2015-06-13]. http://www.ddialliance. org/Specification/DDI-Lifecycle/3.2/XMLSchema/HighLevelDocumentation/DDI_Part_II_UserGuide.pdf.
[23] TEI: Text Encoding [EB/OL]. [2015-06-13]. http://www. tei-c.org/index.xml.
[24] About the TEI [EB/OL]. [2015-06-13]. http://www.tei-c.org/ About.
[25] ISO/TC 211 [EB/OL]. [2015-06-13]. http://www.isotc211.org/.
[26] ISO 19115: 2003, Geographic Information Metadata [S].
[27] Content Standard for Digital Geospatial Metadata--Federal Geographic Data Committee [EB/OL]. [2015-06-13]. http:// www.fgdc.gov/metadata/csdgm/.
[28] FGDC [EB/OL]. [2015-06-13]. http://fgdc.er.usgs.gov/.
[29] FGDC-STD-001-1998. Content Standard for Digital Geospatial Metadata [S]. Washington, DC: Metadata Ad Hoc Working Group Federal Geographic Data Committee, 1998. [2015-06- 13]. https://www.fgdc.gov/standards/projects/FGDC-standards- projects/metadata/base-metadata/v2_0698.pdf.
[30] Ball A. Scientific Data Application Profile Scoping Study Report [R/OL]. [2015-06-13]. http://www.ukoln.ac.uk/projects/ sdapss/papers/ball2009sda-v11.pdf.
[31] Farnel S, Shiri A. Metadata for Research Data: Current Practices and Trends [C]. In: Proceedings of the 2014 International Conference on Dublin Core and Metadata Applications, Austin, Texas, USA. 2014: 74-82

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