Publications for specialist databases

[JasonGellis]

Research journals that publish on databases/data sets

A publicaton about data journals: https://asistdl.onlinelibrary.wiley.com/doi/full/10.1002/asi.23358 A blog containing a growing list of data journals: https://mlibrarydata.wordpress.com/2014/05/09/data-journals/

Journal of Open Archaeology Data - https://openarchaeologydata.metajnl.com/

The Journal of Open Archaeology Data (JOAD) features peer reviewed data papers describing archaeology datasets with high reuse potential. We work with a number of specialist and institutional data repositories to ensure that the associated data are professionally archived, preserved, and openly available. Equally importantly, the data and the papers are citable, and reuse is tracked. JOAD publishes data papers, which do not contain research results but rather a concise description of a dataset, and where to find it

Data - https://www.mdpi.com/journal/data Data (ISSN 2306-5729) is a peer-reviewed open access journal on data in science, with the aim of enhancing data transparency and reusability. The journal publishes in two sections: a section on the collection, treatment and analysis methods of data in science; a section publishing descriptions of scientific and scholarly datasets (one dataset per paper). The journal is published monthly online by MDPI.

• Open Access—Free for readers, with article processing charges (APC) paid by authors or their institutions.
• High Visibility: indexed in the Emerging Sources Citation Index (ESCI) - Web of Science and Inspec (IET). Indexed in Scopus (2019 CiteScore: 2.1).
• Rapid Publication: manuscripts are peer-reviewed and a first decision provided to authors approximately 14.6 days after submission; acceptance to publication is undertaken in 2.6 days (median values for papers published in this journal in the first half of 2020).
• Recognition of Reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.

DataBase - https://academic.oup.com/database

Impact Factor 2.593, 5 year Impact Factor 3.660

Database: The Journal of Biological Databases and Curation provides an open access platform for the presentation of novel ideas in database research surrounding biological information, and aims to help strengthen the bridge between database developers, curators, and users.

The journal will publish:

• Detailed descriptions of databases, and database tools, in the broad arena of biology - authors are strongly encouraged to include a biological discovery or a 'testable' hypothesis in their papers.
• Methodology and technical notes on database development.
• Perspective manuscripts describing novel approaches, technologies, standards, or methods for database and/or annotation explorations including comparisons of state-of-the-art approaches. Perspectives can also include opinion pieces addressing challenges or debates in the field of biological databases and biocuration.

CODATA Science Journal - https://datascience.codata.org/

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.

Biodiversity Data Journal - https://bdj.pensoft.net/

Biodiversity Data Journal (BDJ) is a community peer-reviewed, open access, comprehensive online platform, designed to accelerate publishing, dissemination and sharing of biodiversity-related data of any kind. All structural elements of the articles – text, morphological descriptions, occurrences, data tables etc. – will be treated and stored as data, in accordance with the Data Publishing Policies and Guidelines of Pensoft Publishers.

Originality: Papers and associated data should be sufficiently novel and contribute to a better understanding of the topic under scrutiny. Please consider the examples below to judge if your manuscript might be suitable for BDJ:

• A data set described in a data paper is considered sufficiently novel if it includes new and mostly unpublished data on a subject, or is a compilation of data on a subject from various appropriately credited, published and/or unpublished sources, or represents new transformations or interpretations of data, including significant data corrections. If the data set is a compilation of data from different sources, all data contributors should be appropriately credited, e.g. through co-authorship or citation, while respecting the use licenses associated with the original data sets.

Data in Brief - https://www.journals.elsevier.com/data-in-brief

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.

Scientific Data (Nature) - https://www.nature.com/sdata/about

Scientific Data is a peer-reviewed, open-access journal for descriptions of scientifically valuable datasets, and research that advances the sharing and reuse of scientific data. Scientific Data primarily publishes Data Descriptors, a new type of publication that provides detailed descriptions of research datasets, including the methods used to collect the data and technical analyses supporting the quality of the measurements. Data Descriptors focus on helping others reuse data, rather than testing hypotheses, or presenting new interpretations, methods or in-depth analyses.

Data Papers - https://www.gbif.org/data-papers

GBIF—the Global Biodiversity Information Facility—is an international network and data infrastructure funded by the world's governments and aimed at providing anyone, anywhere, open access to data about all types of life on Earth.

[JasonGellis]

This issue is closed. Papers will be continued to be uploaded to the share drive.