3382263
doi
10.5281/zenodo.3382263
oai:zenodo.org:3382263
Marina Soares E Silva
Elsevier
Research Object Composer: A Tool for Publishing Complex Data Objects in the Cloud
Anita de Waard
Elsevier
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Research Objects
Cloud-based workflows
Mendeley Data
<p>In recent years there has been a surge of efforts in bioinformatics to move data towards a ‘Data Commons’, (see e.g. [1 – 3]) that intends to “collate data with cloud computing infrastructure and commonly used software services, tools, and applications to create biomedical resources for the large-scale management, analysis, harmonization, and sharing of biomedical data” [3]. To create such a shared knowledge infrastructure, it is necessary that data and software, previously installed or hosted locally, become globally accessible, and made Findable, Accessible, Interoperable and Reusable [4]. As a first step to finding data and software, a unique, global, persistent identifier system is required, which is flexible enough to accommodate the multifarious inputs and outputs which a Data Commons can produce.</p>
Zenodo
2019-08-30
info:eu-repo/semantics/conferencePaper
3382262
1579538974.83096
142806
md5:2a40fccad8754f6aeb840a513e3c2638
https://zenodo.org/records/3382263/files/190716_ResearchObjectComposer.pdf
public
10.5281/zenodo.3382262
isVersionOf
doi