Special Issue "Data Reuse for Sustainable Development Goals"
A special issue of Data (ISSN 2306-5729).
Deadline for manuscript submissions: closed (20 March 2020).
Interests: open science; research data; open data; scholarly communication; data mining
Interests: scientometrics; research data; science assessment; indicators
Research data and open data are of extreme value that is presently recognized at political and business levels. Extending its use may contribute to a socioeconomic change towards a data-based paradigm. The reuse of data takes place in a cross-disciplinary environment, in the same way as the challenges identified in the United Nations’ 2030 Agenda and the Sustainable Development Goals (SDG). SDGs have a global vocation, and like science, both seek equity, justice, and the inclusion of developing countries. Solving actual problems also goes through the reuse and combination of diverse resources. As data are so diverse and abundant (types of data, sources, main operators and users or technologies), a disciplinary approach is needed to understand their context. However, to face the global challenges of society requires data that are findable, accessible, interoperable, and reusable (FAIR) and as open as possible, scaling down the disciplinary and national silos.
Researchers and infrastructures are being adjusted to the new context. Experts and scientific authors have highlighted problems in the use of data, with some remaining weaknesses that should be reduced. At present, it is not within everyone´s reach to take advantage of the potential of research data, unless additional resources are invested. In this Special Issue, we aim to present papers that highlight experiences of use of this data-overloaded ecosystem and seek to provide scientists with useful approaches to deal with the SDG.
We are looking to put together a collection of papers that highlight the efforts for reusing data that have contributed to the Sustainable Development Goals (new models and methods, global and cross-disciplinary infraestructures, problems and successes). We welcome case studies that cross disciplinary borders (geodata, meteodata, statistical data) and specific tools from researchers for data analysis, visualization, management, etc.; or agencies (ODRA, DIGICOM, SDGMAP, etc.). We hope that through this Special Issue the community of data reusers will be made aware that, in order to solve the challenges of the planet, the barriers between disciplines must be broken down as well as focus on a more equitable and inclusive application of research results.
Prof. Dr. Fernanda Peset
Prof. Dr. Rafael Aleixandre-Benavent
Prof. Dr. Antonia Ferrer-Sapena
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 papers will be 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 1400 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.
- Data reuse
- Sustanaible Development Goals
- Inclusive science
- Digital divide
- Researchers engagement
- Internet of FAIR data and services
- Metadata and standards