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Journals

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Welcome to the Journal Guide

The Journal Guide gives you peace of mind when selecting journals, so you don’t have to worry about article processing charges (APCs) or non-compliance with your funder’s policies. If you are a researcher from London South Bank University you can look up your favorite journals or search and filter to get to a selection of journals that match your research. Select a funder to see whether the journals are compliant or not, and check the filter ‘Journals with agreements’ to limit the list to journals for which the APCs are fully or partially waived.

Das Gesundheitswesen

ISSN: 0941-3790eISSN: 1439-4421

Das Gesundheitswesen informiert Sie umfassend und aktuell über die wichtigsten Themen des Gesundheitswesens. Neben Leitlinien, Übersichten und Kommentaren werden auch aktuelle Forschungsergebnisse und Beiträge für die CME-zertifizierte Fort- und Weiterbildung publiziert. Die Zeitschrift bietet ein wissenschaftliches Diskussionsforum und eine Plattform für Mitteilungen der Fachgesellschaften

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Das Historisch-Politische Buch

ISSN: 0018-2605eISSN: 2567-3181
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Das Magazin für Health Professionals – ÖKZ

ISSN: 3059-4782

Das Mittelalter. Perspektiven mediävistischer Forschung

ISSN: 0949-0345eISSN: 2196-6869
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Das österreichische Gesundheitswesen ÖKZ

eISSN: 2730-7271

Data

eISSN: 2306-5729
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Data & Knowledge Engineering

ISSN: 0169-023XeISSN: 1872-6933

Database Systems and Knowledgebase Systems share many common principles. Data & Knowledge Engineering (DKE) stimulates the exchange of ideas and interaction between these two related fields of interest. DKE reaches a world-wide audience of researchers, designers, managers and users. The major aim of the journal is to identify, investigate and analyze the underlying principles in the design and effective use of these systems. DKE achieves this aim by publishing original research results, technical advances and news items concerning data engineering, knowledge engineering, and the interface of these two fields.DKE covers the following topics:1. Representation and Manipulation of Data & Knowledge: Conceptual data models. Knowledge representation techniques. Data/knowledge manipulation languages and techniques.2. Architectures of database, expert, or knowledge-based systems: New architectures for database / knowledge base / expert systems, design and implementation techniques, languages and user interfaces, distributed architectures.3. Construction of data/knowledge bases: Data / knowledge base design methodologies and tools, data/knowledge acquisition methods, integrity/security/maintenance issues.4. Applications, case studies, and management issues: Data administration issues, knowledge engineering practice, office and engineering applications.5. Tools for specifying and developing Data and Knowledge Bases using tools based on Linguistics or Human Machine Interface principles.6. Communication aspects involved in implementing, designing and using KBSs in Cyberspace.Plus... conference reports, calendar of events, book reviews etc.Benefits to authorsWe also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com

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Data & Policy

eISSN: 2632-3249
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Data Base for Advances in Information Systems

ISSN: 0095-0033eISSN: 1532-0936

Data Intelligence

eISSN: 2641-435X
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Data Mining and Knowledge Discovery

ISSN: 1384-5810eISSN: 1573-756X

The premier technical publication in the field, Data Mining and Knowledge Discovery is a resource collecting relevant common methods and techniques and a forum for unifying the diverse constituent research communities. The journal publishes original technical papers in both the research and practice of data mining and knowledge discovery, surveys and tutorials of important areas and techniques, and detailed descriptions of significant applications. Coverage includes: - Theory and Foundational Issues - Data Mining Methods - Algorithms for Data Mining - Knowledge Discovery Process - Application Issues.

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Data Science Journal

eISSN: 1683-1470
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The CODATA Data Science Journal is a peer-reviewed, open access, electronic journal, publishing papers on the management, dissemination, use and reuse of research data and databases across all research domains, including science, technology, the humanities and the arts. The scope of the journal includes descriptions of data systems, their implementations and their publication, applications, infrastructures, software, legal, reproducibility and transparency issues, the availability and usability of complex datasets, and with a particular focus on the principles, policies and practices for open data.

All data is in scope, whether born digital or converted from other sources.

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Data Science and Engineering

ISSN: 2364-1185eISSN: 2364-1541
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Data Science and Informetrics

ISSN: 2694-6106

Data Science and Management

ISSN: 2666-7649eISSN: 2666-7649
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Data Science in Finance and Economics

eISSN: 2769-2140
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Data Science in Science

eISSN: 2694-1899
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Data Technologies and Applications

ISSN: 2514-9288eISSN: 2514-9318

Data Technologies & Applications focusses on the management of digital information, mostly covering Information Science and Information System aspects. Covers all aspects of the data revolution brought about by the Internet and the World-Wide-Web.

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Data and Information Management

ISSN: 2543-9251
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Data in Brief

eISSN: 2352-3409
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Data in Brief provides a way for researchers to easily share and reuse each other's datasets by publishing data articles that:

  • Thoroughly describe your data, facilitating reproducibility.
  • Make your data, which is often buried in supplementary material, easier to find.
  • Increase traffic towards associated research articles and data, leading to more citations.
  • Open up doors for new collaborations.

Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.

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