2019

Future Generation Computer Systems-The International Journal of eScience

Rocznik: 2019 | Tom: 98

artykuł naukowy

angielski

EN Data-intensive science communities are progressively adopting FAIR practices that enhance the visibility of scientific breakthroughs and enable reuse. At the core of this movement, research objects contain and describe scientific information and resources in a way compliant with the FAIR principles and sustain the development of key infrastructure and tools. This paper provides an account of the challenges, experiences and solutions involved in the adoption of FAIR around research objects over several Earth Science disciplines. During this journey, our work has been comprehensive, with outcomes including: an extended research object model adapted to the needs of earth scientists; the provisioning of digital object identifiers (DOI) to enable persistent identification and to give due credit to authors; the generation of content-based, semantically rich, research object metadata through natural language processing, enhancing visibility and reuse through recommendation systems and third-party search engines; and various types of checklists that provide a compact representation of research object quality as a key enabler of scientific reuse. All these results have been integrated in ROHub, a platform that provides research object management functionality to a wealth of applications and interfaces across different scientific communities. To monitor and quantify the community uptake of research objects, we have defined indicators and obtained measures via ROHub that are also discussed herein. (C) 2019 Elsevier B.V. All rights reserved.

550 - 564

10.1016/j.future.2019.03.046

https://www.sciencedirect.com/science/article/abs/pii/S0167739X18314638?via%3Dihub

CC BY (uznanie autorstwa)

ostateczna wersja opublikowana

29.03.2019

w momencie opublikowania

140

140