Data and Metadata - Editorial Salud, Ciencia y Tecnología | 2024 Cite Score: 3.9 | Q3

Data and Metadata - Editorial Salud, Ciencia y Tecnología | 2024 Cite Score: 3.9 | Q3

• About this Journal:
• Data and Metadata is an international, peer-reviewed open-access journal that focuses on research, methodologies, and technologies related to data management, metadata modeling, and information representation.Data and Metadata is an interdisciplinary journal on the areas of Decision Sciences, Health Science and Computer Science that focuses on the management, analysis, and application of data and metadata. The journals 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.
• The journal aims to promote data sharing, interoperability, and reuse by exploring how metadata enhances the quality, traceability, and transparency of data in scientific and industrial domains.
• It serves as a platform for researchers, data scientists, and information managers to exchange knowledge on data curation, standards, and data-driven innovation.
• The publication supports the principles of open science and FAIR data (Findable, Accessible, Interoperable, and Reusable).

• Journal Home:  Journal Homepage

• Editor-in-Chief:  Dr. Adrián Alejandro Vitón Castillo

• Scope of the Journal:
• Data management, sharing, and curation practices.
• Metadata modeling, standards, and ontologies.
• Data lifecycle management and provenance tracking.
• Interoperability and semantic web technologies.
• Open data, FAIR principles, and scientific reproducibility.
• Data quality assessment, documentation, and annotation techniques.
• Applications of metadata in digital libraries, archives, and research infrastructures.
• Latest Research Topics for PhD in Machine Learning
• Latest Research Topics for PhD in Artificial Intelligence
• Latest Research Topics for PhD in Data Mining
• Latest Research Topics for PhD in Big Data

• Print ISSN:  29534917

  Electronic ISSN:  

• Abstracting and Indexing:  Scopus

• Imapct Factor :  

• Subject Area and Category:  Computer Science (miscellaneous), Information Systems, Information Systems and Management

• Publication Frequency:  Quarterly

• H Index:  20

• Best Quartile:

  Q1:  

  Q2:  

  Q3:  Computer Science (miscellaneous)

  Q4:  

• Cite Score:  3.9

• SNIP:  0.324

• Journal Rank(SJR):  0.206

• Latest Articles:   Latest Articles in Data and Metadata - Editorial Salud, Ciencia y Tecnología | 2024 Cite Score: 3.9 | Q3

• Guidelines for Authors: Data and Metadata - Editorial Salud, Ciencia y Tecnología | 2024 Cite Score: 3.9 | Q3 Author Guidelines

• Paper Submissions: Paper Submissions in Data and Metadata - Editorial Salud, Ciencia y Tecnología | 2024 Cite Score: 3.9 | Q3

• Publisher:  Editorial Salud, Ciencia y Tecnología

  Country:  Argentina

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