A Linked Data Approach to Publishing Complex Scientific Workflows

Abstract

Past data management practices in many fields of natural science, including climate research, have focused primarily on the final research output -the research publication -with less attention paid to the chain of intermediate data results and their associated metadata, including provenance. Data were often regarded merely as an adjunct to the publication, rather than a scientific resource in their own right. In this paper, we attempt to address the issues of capturing and publishing detailed workflows associated with the climate/research datasets held by the Climatic Research Unit (CRU) at the University of East Anglia. To this end, we present a customisable approach to exposing climate research workflows for the effective re-use of the associated data, through the adoption of linked-data principles, existing widely adopted citation techniques (Digital Object Identifier) and data exchange mechanisms (Open Archives Initiative Object Reuse and Exchange).

Collaborative information management in scientific research processes

“…An aggregation may include the data used, the methods employed to produce and analyze the data, and the scientists involved in the investigation as well as rights declaration and usage licenses to help facilitate citation, sharing and re-use of discrete scientific work. Such an approach to aggregating research objects using OAI-ORE has been explored in the ACRID project [14].…”

“…As a general purpose protocol, InteRCom does not constraint the format of the RDF post message as long as it is valid and well-formed. Any suitable vocabulary such as SPAR 14 , Dublin Core 15 can be used to annotate citation links and provide metadata about the participating resources. The only caveat is that metadata returned by the Receiving Resource must describe the location of its ping endpoint.…”

A workflow language for research e-infrastructures

“…Moreover, workflows are digital objects in their own right, and they can be published, discovered, shared and cited for reproducibility and for scientific attribution of science like research articles, research data and research software. Known approaches include (i) workflows as digital artifacts: workflow files are published in a repository with bibliographic metadata (e.g., Zenodo 2 , MyExperiment.org [27]) and can be possibly related to their inputs and outputs [14,30] ; (ii) workflowas-a-Service: workflows are shared via a platform/science gateway that enables their discovery and execution [10,12].…”

Transformación y explotación de información histórica y actual relacionada con el cambio climático en Colombia conforme a los principios de Linked data

“…Diversos autores han propuesto estrategias, metodologías y herramientas tecnológicas para solventar los problemas o exponer soluciones alternativas relacionadas al proceso de especificación, generación de RDF, generación de enlaces, publicación y explotación de información geoespacial, tal como lo dicta Linked Data. El enfoque de Linked Data ha sido ampliamente empleado en la publicación de datos geoespaciales, como datos de sensores [22], flujos de trabajo científicos [49] y procedencia geoespacial [50]. Por ejemplo, LinkedGeoData [51] transforma los datos de OpenStreetMap en el modelo de datos RDF y consulta datos usando SPARQL.…”