A Journal of the Committee on Data for Science and Technology (CODATA) of the International Council for Science (ICSU) http://www.datasciencejournal.org.

The issues that confront builders and suppliers of scientific and engineering databases usually occur across many fields, yet there is virtually no mechanism for sharing new knowledge across disciplines. The Data Science Journal is designed to foster such communication and convey new insights and progress to the scientific data community, regardless of discipline. CODATA, the Committee on Data for Science and Technology of the International Council of Scientific Unions is sponsoring this new peer-reviewed, on-line journal devoted to scientific and engineering data. An international editorial board has been appointed. The Editor-in-Chief is Professor FJ Smith OBE MRIA FIMA of Queen’s University Belfast. The first issue was published on-line at the end of April 2002.

Scope of the Data Science Journal The focus will be on data management and delivery issues rather than contents of specific databases in Science and Technology. Data Data capture, synthesis, analysis, evaluation; metadata; data generation Data structures; data storage, indexing, retrieval; Data exchange and sharing; Data display and manipulation; Data dissemination strategies; printing, CD-ROM, internet; Data quality, data consistency, data standards;

Scope of the journal (continued) 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, data science; Human-computer interfaces; visualisation in databases; Use of database packages, commercial issues; distributed databases; Legal issues, intellectual property rights; data policy; data access; Financial management, pricing, charging, marketing, selling; e-commerce; Applications Industrial applications, industrial requirements; Adding intelligence to data systems, data modelling; Novel applications; case studies; interdisciplinary systems

Submitting papers to the journal Anyone interested in submitting a paper to the journal should email a copy to the Editor–in-Chief, Professor FJ Smith, at codata@qub.ac.uk Submission and correspondence will be by email only. Printed papers will not be accepted. The following electronic formats are supported: Word; WordPerfect; Rich text or pdf. Please do not send html files. Detailed instructions on preparing papers for submission can be found in the sample paper on the website at http://www.datasciencejournal.org.