Paper Info
Title
Metainformation scenarios in Digital Humanities: Characterization and conceptual modelling strategies
Abstract
Requirements for the analysis, interpretation and reuse of information are becoming more and more ambitious as we generate larger and more complex datasets. This is leading to the development and widespread use of information about information, often called metainformation (or metadata) in most disciplines. The Digital Humanities are not an exception. We often assume that metainformation helps us in documenting information for future reference by recording who has created it, when and how, among other aspects. We also assume that recording metainformation will facilitate the tasks of interpreting information at later stages. However, some works have identified some issues with existing metadata approaches, related to 1) the proliferation of too many “standards” and difficulties to choose between them; 2) the generalized assumption that metadata and data (or metainformation and information) are essentially different, and the subsequent development of separate sets of languages and tools for each (introducing redundant models); and 3) the combination of conceptual and implementation concerns within most approaches, violating basic engineering principles of modularity and separation of concerns. Some of these problems are especially relevant in Digital Humanities.
Year
DOI
Venue
2019
10.1016/j.is.2019.04.009
Information Systems
Keywords
Field
DocType
Metadata,Metainformation,Digital Humanities,Conceptual modelling,ConML
Data science,Metadata,Reuse,Computer science,Conceptualization,Separation of concerns,Digital humanities,Modularity,Database
Journal
Volume
ISSN
Citations 
84
0306-4379
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Patricia Martin-Rodilla155.87
Cesar Gonzalez-Perez249531.78