CODATA Data Science Journal Scope

The scope of the Data Science Journal includes the following:

Data

• Data capture, generation, monitoring, synthesis, analysis, evaluation; metadata;
• Data structures; data storage, indexing, retrieval;
• Data exchange, sharing;
• Data display and manipulation;
• Data dissemination strategies; printing, CD-ROM, internet;
• Data quality, data consistency, data complexity, data standards;
• Data uncertainty and decision making; security;
• Data stewardship, data curation and data preservation;
• Data dissemination, discovery, repurposing;
• Data service; data and society;
• Data policy;
• Data capacity building (i.e. training in effective standard- based data management, documentation, and preservation; emerging field of data science etc.)

Database

• Database planning, design, maintenance; archiving;
• Interfacing databases to the internet; to other systems, to data products; interoperability;
• Database standards; compatibility; federated databases;
• Data mining, knowledge discovery;
• Human-computer interfaces; visualization in databases;
• Use of database packages, commercial issues; distributed databases;
• Legal issues, intellectual property rights; data access;
• Financial management, pricing, marketing, licensing; e-commerce;

Processing, Complexity, Scalability, Distribution, Interaction

• Active distributed systems, sensor swarms, data streaming;
• Performance issues, scalability, requirement engineering;
• Web service technology;
• Cloud Computing;
• Actor-centric/ decision-support systems;

Applications

• Industrial applications, industrial requirements;
• Adding intelligence to data systems, data modelling;
• Novel applications; case studies (new and established data analysis and management practices); interdisciplinary systems;
• Mission-oriented data activities of global features, e.g., global warming and sustainability, or disaster avoidance, mitigation, or response;
• Human-centric data activities, e.g., health, safety, security;
• Cultural heritage;
• Crisis Information and disaster management support;
• Data management for policy development;

Interfaces with Experiments, Models and Information Complexes in the Internet

• Online simulations, databases; virtual laboratories;
• Video-articles, tangible presentations, virtual reality in databases;
• Interplay of data and models;

Editorials, Essays and New Perspectives on Data Activities

Other: We also intend to include book reviews and conference proceedings. In the future, we might include a commentary function to allow readers to comment on papers.