Journal Menu► ▼ Journal Menu
Journal Browser► ▼ Journal Browser
Special Issue "Data Quality and Data Access for Research"
A special issue of Data (ISSN 2306-5729). This special issue belongs to the section "Information Systems and Data Management".
Deadline for manuscript submissions: closed (31 January 2021) | Viewed by 19161
Special Issue Editors
Interests: data-intensive science; open science; open data; history of data collection and sharing; science policy; globalization of scientific research; epistemology of bioinformatics; bio-ontologies; abstraction and modelling processes in biology
Interests: phyloinformatics; biodiversity informatics; open data; data mining; reproducible research
Special Issue Information
Today's research and the advance of knowledge depend heavily on data. In recent years, there has been significant progress in making research data findable and accessible through generalist and domain-specific repositories, partially thanks to the increasing number of data-sharing policies from funders and journals. There are currently many efforts towards making data FAIR (findable, accessible, interoperable, and reusable data by machines and humans), including better-defined FAIR metrics, tools that help implement standards, and supporting guidelines. However, more work by data professionals, data providers, and the research community is still needed to make a difference. Much of the data that could be useful to infer new knowledge are not well-described, lack provenance, or are inaccessible and, therefore, hard or impossible to use for further research or validation of prior published work. For example, even when data and code are shared in archival repositories, and verification is attempted during peer review, often reviewers still need to contact the authors to be able to reuse the data and code. Or, in other cases, the data that could be used for research are private (either with sensitive information or owned by an organization) and inaccessible unless the appropriate data use agreements and privacy-preserving mechanisms to analyze the data are put in place.
This Special Issue is intended to present discussions and any advances at making data for research more (re)usable, whether the data have been generated by researchers or private organizations. Topics include but are not limited to the following areas:
Dr. Mercè Crosas
Dr. Sabina Leonelli
Dr. Ross Mounce
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Data is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.