Collection

Data and Research Objects Planning and Management for Linked Open Science

Submission status
Open
Open for submission from
16 February 2021
Submission deadline
Ongoing
Data-driven research follows a cycle involving data as well as other research/digital objects such as publications, tools (e.g. software and workflows) or knowledge transfer (e.g. training materials, tutorials, guidelines) together with metadata enrichment and FAIRification processes. To succesfully follow this cycle, we need research objects management plans supporting the findable, accessible, interoperable and reusable (FAIR) principles, i.e., rather than static documents, we need machine-actionable plans enriched with metadata as well as meaningful links other relevant research objects and their corresponding management plans (including FAIRification). Additional elements should be taken into account to also support Data Spaces/Ecosystems as well as Open Science. This collection welcomes contributions on data and research objects management plans, FAIRification supporting Open Science, and research supporting open and transparent digital research ecosystems. There are currently no articles in this collection.

Editors

  • Leyla Jael Garcia-Castro Leyla Jael Garcia-Castro  &

    Leyla Jael Garcia-Castro

    Dr. Leyla Garcia-Castro is team leader for the Semantic Retrieval research team at ZBMED Information Center for Life Sciences. Her researcher interests are in semantic web, linked data, data science, open science and education.

  • Oya Deniz Beyan Oya Deniz Beyan

    Oya Deniz Beyan

    Dr. Oya Beyan is a professor at the Institute for Medical Informatics at the University of Cologne. Her areas of expertise are medical informatics, semantic web technologies, clinical decision support, patient empowerment, research data management, and ethical and social challenges of data.

Articles (3 in this collection)