Comparative Performance Evaluation of Syntax Structure of Digital Identifier Systems

Digital identifier systems are considered as one of the main areas of application in the identifiable Web approach in digital object theory. Based on the nature of these identifiers, which are based on the implementation of the resolution mechanism and also their differences from other identifiers, the syntax structure of these identifiers has particular importance. The syntax is a set of rules used to combine characters to form an identifier string. This study aims to evaluate the performance of the syntax structure of different digital identifier systems through an illustrative evaluation method and two sequential steps. In the first step, through a Delphi method, a framework was designed to evaluate the structure of systems’ syntax. The framework includes 11 performance indicators: Uniqueness, machine readability, stability, interoperability, simplicity, scalability, verifiability, granularity, character insensitivity, human readability, and syntax resolution. In the second step, 6 well-known global digital identifier systems were mapped in the framework and compared through an illustrative evaluation and TOPSIS methods. According to the findings, DOI (Digital object Identifier) and UCI (Universal Content Identifier) have a robust performance in their syntax structure and Handle, ARK (Archival Resource Key), URN (Uniform Resource Name) and PURL (Persistent Uniform Resource Locator) systems have mediocre performance in this component. Furthermore, the solutions of the robust performance systems in verification, including using the resolution mechanism, the TCP/ IP protocol, and the identifiers with check digits in the suffix, as well as the advantages of qualifiers, in particular, in the more precise identification of the Identified object are discussed. These results can be used by researchers of this field and administrators and users of these systems.

[1]  Stuart Weibel,et al.  The PURL Project , 1995 .

[2]  Karen R. Sollins,et al.  Functional Requirements for Uniform Resource Names , 1994, RFC.

[3]  Pirkko Vartiainen,et al.  On the Principles of Comparative Evaluation , 2002 .

[4]  S. Gordon,et al.  The Nominal Group Technique: A useful concensus methodology in physiotherapy research , 2004 .

[5]  John Kunze,et al.  The ARK Identifier Scheme , 2019 .

[6]  Stephan Murer,et al.  Managed Evolution: A Strategy for Very Large Information Systems , 2010 .

[7]  Tom Davidson,et al.  A practical guide to automating the digital supply chain with the digital object identifier (DOI) , 2001 .

[8]  Renato Iannella,et al.  Uniform Resource Names (URN) Namespace Definition Mechanisms , 2002, RFC.

[9]  R. Brook,et al.  Consensus methods: characteristics and guidelines for use. , 1984, American journal of public health.

[10]  Natasha Simons,et al.  Implementing DOIs for Research Data , 2012, D Lib Mag..

[11]  Jannis Kallinikos,et al.  A theory of digital objects , 2010, First Monday.

[12]  Rajesh Chandrakar Digital object identifier system: an overview , 2006, Electron. Libr..

[13]  E. Stanley Lee,et al.  An extension of TOPSIS for group decision making , 2007, Math. Comput. Model..

[14]  Ruth E. Duerr,et al.  Achieving human and machine accessibility of cited data in scholarly publications , 2015, PeerJ Comput. Sci..

[15]  Douglas Campbell,et al.  Identifying the Identifiers , 2007, Dublin Core Conference.

[16]  Andrew Hutchison,et al.  Verifiable digital object identity system , 2006, DRM '06.

[17]  B. Cesnik,et al.  Digital Libraries , 2001, Yearbook of Medical Informatics.

[18]  F. Hasson,et al.  Research guidelines for the Delphi survey technique. , 2000, Journal of advanced nursing.

[19]  Stephen Mooney Digital object identifiers for eBooks: What are we identifying? , 2001 .

[20]  Gregory J. Skulmoski,et al.  Journal of Information Technology Education the Delphi Method for Graduate Research , 2022 .

[21]  Dong Joon Lee,et al.  Developing a Data Identifier Taxonomy , 2014 .

[22]  Mehdi Alipour Hafezi,et al.  The role of digital identifier systems in the theory of digital objects , 2017, Int. J. Inf. Manag..

[23]  Karen Coyle Identifiers: Unique, Persistent, Global , 2006 .

[24]  Barbara B. Tillett,et al.  FRBR and Cataloging for the Future , 2005 .

[25]  Jannis Kallinikos,et al.  The Ambivalent Ontology of Digital Artifacts , 2013, MIS Q..

[26]  John Kunze,et al.  Towards Electronic Persistence Using ARK Identifiers , 2003 .

[27]  Paolo Bouquet,et al.  An Interoperability Infrastructure for Digital Identifiers in e-Science , 2015, IRCDL.

[28]  Mehdi Alipour-Hafezi,et al.  A Basic Comparative Framework for Evaluation of Digital Identifier Systems , 2015 .

[29]  H. Moed,et al.  Business Research , 1938, Nature.

[30]  Shalini R. Urs,et al.  Electronic Scholarly Journals: A Review of Technical Issues in Digital Environment , 2006 .