NO APC

Data & Metadata is an interdisciplinary journal on the areas of Computer Sciences that focuses on the management, analysis, and application of data and metadata. The journal's focus is on research and development of methodologies and techniques that enable the extraction of valuable information and decision making based on data. Additionally, the journal seeks to promote the use of bibliometrics for the analysis of scientific and academic production.

Scope:

The Data & Metadata journal publishes original papers, reviews and other types of contributions that address a wide variety of topics related to data and metadata. Topics include, but are not limited to:

Data science, including data mining, big data analytics, artificial intelligence, and machine learning.
Data-driven decision making, including real-time decision making, data visualization, and ethical decision making based on data.
Methodologies and techniques for data management and analysis, including data cleaning and preprocessing, data integration, and data modeling.
Metadata and its management, including metadata standardization, interoperability, and preservation.
Bibliometrics and analysis of scientific and academic production, including evaluation of research quality and relevance, identification of trends, and measurement of research impact.