A universal metadata system for the characterization of nanomaterials

This paper presents a detailed analysis of a newly developed system for the identification of nanomaterials and nanostructures of an arbitrary nature. The system has been created as a result of the joint work of the Committee on Data for Science and Technology (CODATA) and the International Council for Science (ICSI). It is shown that at its core the developed system is an extended set of metadata that reflect the conceptual framework of a scientific discipline. Their features include a wide coverage of the sum of the properties and characteristics, as well as the possibility of adding new headings, i.e., support for the evolution of the conceptual scheme that meets the requirements of the subject field. Limitations in the possibilities of the representation of certain categories of nanomaterials, especially of macroscopic objects, are found. It is shown that it is possible to overcome them by the active use of existing ontologies in the field of materials science.

[1]  Michael D. Frenkel,et al.  Global communications and expert systems in thermodynamics: Connecting property measurement and chemical process design , 2005 .

[2]  Norman Swindells,et al.  The Representation and Exchange of Material and Other Engineering Properties , 2009, Data Sci. J..

[3]  G. Ostojic,et al.  Carbon Nanotubes , 2010, Methods in Molecular Biology.

[4]  V. Yu. Zitserman,et al.  The systematization of sources and data on nanotechnologies , 2013, Scientific and Technical Information Processing.

[5]  A. O. Yerkimbaev,et al.  The role of metadata in the creation and application of information resources on the properties of substances and materials , 2008, Scientific and Technical Information Processing.

[6]  Mitsutane Fujita,et al.  Definition of a web ontology for design-oriented material selection , 2006, Data Sci. J..

[7]  E F. Begley,et al.  MatML: A Data Interchange Markup Language | NIST , 2003 .

[8]  A. O. Erkimbaev,et al.  Thermophysical properties of nanoobjects: Data classification and validity evaluation , 2012 .

[9]  A phase transition between carbon allotropes synthesized by a combustion-flame method , 1997 .

[10]  M. Dresselhaus Carbon nanotubes , 1995 .

[11]  V. Yu. Zitserman,et al.  Publishing scientific data as linked open data , 2013, Scientific and Technical Information Processing.

[12]  John Rumble,et al.  Describing Nanomaterials: Meeting the Needs of Diverse Data Communities , 2012, Data Sci. J..

[13]  R. Heimann,et al.  Carbon allotropes: a suggested classification scheme based on valence orbital hybridization , 1997 .

[14]  J. A. Bakker Improving Data Quality Control in the Xplain-DBMS , 2012, Data Sci. J..

[15]  Michael Darsow,et al.  ChEBI: a database and ontology for chemical entities of biological interest , 2007, Nucleic Acids Res..

[16]  Jane Hunter,et al.  MatSeek: An Ontology-Based Federated Search Interface for Materials Scientists , 2009, IEEE Intelligent Systems.

[17]  V. Skorokhod,et al.  New dimensionality classifications of nanostructures , 2008 .