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Open Data
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Open Data

A special issue of Publications (ISSN 2304-6775).

Deadline for manuscript submissions: closed (30 June 2017) | Viewed by 28257

Special Issue Editor

Ms. Isabel Bernal

E-Mail
Guest Editor
Manager of Digital.CSIC Technical Office, Unit of Information Resources for Research, Spanish National Research Council (CSIC), C/ Joaquín Costa 22, Desp. 308, 28002 Madrid, Spain
Interests: open access; repositories; impact of scholarly communication; copyright; library consortia; access to knowledge in developing countries

Special Issue Information

Dear Colleagues,

We are facing a true data deluge, and research data management is opening the door to exciting transformations in the global scientific communication system.  However, while increasing access to research data can help researchers validate and build upon hypotheses, discoveries, and observations, many are the challenges that scientists, research institutions, funders, libraries, technology developers, and society in general, meet in order to make the most of these new opportunities. This Special Issue of Publications aims to provide a thorough overview of current activities to support open data from different perspectives and players, as well as a platform to share experiences, good practices and policies, and identify new relevant issues in this domain.

In terms of the genre, contributions can be articles, research reports, case studies, or reviews of relevant literature. All submissions will undergo the journal's regular peer-review process and editorial procedures.

Ms. Isabel Bernal
Guest Editor

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. Publications is an international peer-reviewed open access quarterly 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.

Keywords

  • Open data management and dissemination
  • Funders’ open data mandates
  • Journals open data policies
  • Open government data
  • Open data preservation
  • Long tail of science versus big data
  • Trusted data repositories
  • Open data licensing
  • Open research data reuse and visualization
  • Open data and data mining
  • Open data impact metrics
  • Data journals
  • Data repositories
  • Data management plans
  • eInfrastructure services for research data
  • Data management and new library services
  • Research data privacy and confidential issues
  • Open data and development
  • Opportunities and challenges of cloud data services
  • Emerging standards for research data management
  • Economic impact of open data

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  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
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Further information on MDPI's Special Issue polices can be found here.

Published Papers (3 papers)

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Research

453 KiB  
Article
A Trust Framework for Online Research Data Services
by Malcolm Wolski, Louise Howard and Joanna Richardson
Publications 2017, 5(2), 14; https://doi.org/10.3390/publications5020014 - 1 Jun 2017
Cited by 6 | Viewed by 13382
Abstract
There is worldwide interest in the potential of open science to increase the quality, impact, and benefits of science and research. More recently, attention has been focused on aspects such as transparency, quality, and provenance, particularly in regard to data. For industry, citizens, [...] Read more.
There is worldwide interest in the potential of open science to increase the quality, impact, and benefits of science and research. More recently, attention has been focused on aspects such as transparency, quality, and provenance, particularly in regard to data. For industry, citizens, and other researchers to participate in the open science agenda, further work needs to be undertaken to establish trust in research environments. Based on a critical review of the literature, this paper examines the issue of trust in an open science environment, using virtual laboratories as the focus for discussion. A trust framework, which has been developed from an end-user perspective, is proposed as a model for addressing relevant issues within online research data services and tools. Full article
(This article belongs to the Special Issue Open Data)
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204 KiB  
Article
Oceanographic Data Repositories: An Analysis of the International Situation
by Fabiano Couto Corrêa da Silva, Ernest Abadal and Enrique Wulff
Publications 2017, 5(2), 8; https://doi.org/10.3390/publications5020008 - 6 Apr 2017
Cited by 3 | Viewed by 5610
Abstract
The preservation and organization of oceanographic research data enables the scientific community to consult and reuse information of different kinds, and this is made possible by the repositories, meaning the services that facilitate data storage and dissemination. This paper reviews the current situation [...] Read more.
The preservation and organization of oceanographic research data enables the scientific community to consult and reuse information of different kinds, and this is made possible by the repositories, meaning the services that facilitate data storage and dissemination. This paper reviews the current situation of oceanographic data repositories across different countries and evaluates them according to a series of indicators. The writers propose that although interest in storing and reusing oceanographic data has increased in recent years, the repositories are still in the process of developing their systems for processing, disseminating and reusing data. The repositories also differ in terms of architecture and the organizational level of the content they offer. Full article
(This article belongs to the Special Issue Open Data)
232 KiB  
Article
Research Data Reusability: Conceptual Foundations, Barriers and Enabling Technologies
by Costantino Thanos
Publications 2017, 5(1), 2; https://doi.org/10.3390/publications5010002 - 9 Jan 2017
Cited by 21 | Viewed by 8604
Abstract
High-throughput scientific instruments are generating massive amounts of data. Today, one of the main challenges faced by researchers is to make the best use of the world’s growing wealth of data. Data (re)usability is becoming a distinct characteristic of modern scientific practice. By [...] Read more.
High-throughput scientific instruments are generating massive amounts of data. Today, one of the main challenges faced by researchers is to make the best use of the world’s growing wealth of data. Data (re)usability is becoming a distinct characteristic of modern scientific practice. By data (re)usability, we mean the ease of using data for legitimate scientific research by one or more communities of research (consumer communities) that is produced by other communities of research (producer communities). Data (re)usability allows the reanalysis of evidence, reproduction and verification of results, minimizing duplication of effort, and building on the work of others. It has four main dimensions: policy, legal, economic and technological. The paper addresses the technological dimension of data reusability. The conceptual foundations of data reuse as well as the barriers that hamper data reuse are presented and discussed. The data publication process is proposed as a bridge between the data author and user and the relevant technologies enabling this process are presented. Full article
(This article belongs to the Special Issue Open Data)
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