The complementarity of open data infrastructures

Author(s):  
Anneke Zuiderwijk ◽  
Marijn Janssen ◽  
Armin Parnia
2020 ◽  
Vol 10 (3) ◽  
pp. 856 ◽  
Author(s):  
José R. R. Viqueira ◽  
Sebastián Villarroya ◽  
David Mera ◽  
José A. Taboada

The monitoring and forecasting of environmental conditions is a task to which much effort and resources are devoted by the scientific community and relevant authorities. Representative examples arise in meteorology, oceanography, and environmental engineering. As a consequence, high volumes of data are generated, which include data generated by earth observation systems and different kinds of models. Specific data models, formats, vocabularies and data access infrastructures have been developed and are currently being used by the scientific community. Due to this, discovering, accessing and analyzing environmental datasets requires very specific skills, which is an important barrier for their reuse in many other application domains. This paper reviews earth science data representation and access standards and technologies, and identifies the main challenges to overcome in order to enable their integration in semantic open data infrastructures. This would allow non-scientific information technology practitioners to devise new end-user solutions for citizen problems in new application domains.


Author(s):  
Yannis Charalabidis ◽  
Anneke Zuiderwijk ◽  
Charalampos Alexopoulos ◽  
Marijn Janssen ◽  
Thomas Lampoltshammer ◽  
...  

2016 ◽  
Vol 1 (1) ◽  
pp. 156-157
Author(s):  
Arne Hintz

Kitchin, Rob (2014). The Data Revolution: Big Data, Open Data, Data Infrastructures & Their Consequences. London: Sage. ISBN: 9 7814 4628 7484.Elmer, Greg, Ganaele Langlois and Joanna Redden (eds) (2015). Compromised Data: From Social Media to Big Data. New York: Bloomsbury. ISBN: 9 7815 0130 6518.


Author(s):  
Lyubomir Penev ◽  
Dimitrios Koureas ◽  
Quentin Groom ◽  
Jerry Lanfear ◽  
Donat Agosti ◽  
...  

The Horizon 2020 project Biodiversity Community Integrated Knowledge Library (BiCIKL) (started 1st of May 2021, duration 3 years) will build a new European community of key research infrastructures, researchers, citizen scientists and other stakeholders in biodiversity and life sciences. Together, the BiCIKL 14 partners will solidify open science practices by providing access to data, tools and services at each stage of, and along the entire biodiversity research and data life cycle (specimens, sequences, taxon names, analytics, publications, biodiversity knowledge graph) (Fig. 1, see also the BiCIKL kick-off presentation through Suppl. material 1), in compliance with the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. The existing services provided by the participating infrastructures will expand through development and adoption of shared, common or interoperable domain standards, resulting in liberated and enhanced flows of data and knowledge across these domains. BiCIKL puts a special focus on the biodiversity literature. Over the span of the project, BiCIKL will develop new methods and workflows for semantic publishing and integrated access to harvesting, liberating, linking, and re-using sub-article-level data extracted from literature (i.e., specimens, material citations, sequences, taxonomic names, taxonomic treatments, figures, tables). Data linkages may be realised with different technologies (e.g., data warehousing, linking between FAIR Data Objects, Linked Open Data) and can be bi-lateral (between two data infrastructures) or multi-lateral (among multiple data infrastructures). The main challenge of BiCIKL is to design, develop and implement a FAIR Data Place (FDP), a central tool for search, discovery and management of interlinked FAIR data across different domains. The key final output of BiCIKL will the future Biodiversity Knowledge Hub (BKH), a one-stop portal, providing access to the BiCIKL services, tools and workflows, beyond the lifetime of the project.


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