The industry sector is a very large producer and consumer of data,and many companies traditionally focused on production or manufacturing are now relying on the analysis of large amounts of data to develop new product...The industry sector is a very large producer and consumer of data,and many companies traditionally focused on production or manufacturing are now relying on the analysis of large amounts of data to develop new products and services.As many of the data sources needed are distributed and outside the company,FAIR data will have a major impact,both by reducing the existing internal data silos and by enabling the efficient integration with external(public and commercial)data.Many companies are still in the early phases of internal data”FAIRification”,providing opportunities for SMEs and academics to apply and develop their expertise on FAIR data in collaborations and public-private partnerships.For a global Internet of FAIR Data&Services to thrive,also involving industry,professional tools and services are essential.FAIR metrics and certifications on individuals,data,organizations,and software,must ensure that data producers and consumers have independent quality metrics on their data.In this opinion article we reflect on some industry specific challenges of FAIR implementation to be dealt with when choices are made regarding”Industry GOing FAIR”.展开更多
The Virus Outbreak Data Network(VODAN)-Africa aims to contribute to the publication of Findable Accessible,Interoperable,and Reusable(FAIR)health data under well-defined access conditions.The next step in the VODAN-Af...The Virus Outbreak Data Network(VODAN)-Africa aims to contribute to the publication of Findable Accessible,Interoperable,and Reusable(FAIR)health data under well-defined access conditions.The next step in the VODAN-Africa architecture is to locally deploy the Center for Expanded Data Annotation and Retrieval(CEDAR)and arrange accessibility based on the‘data visiting’concept.Locally curated and reposited machine-actionable data can be visited by queries or algorithms,provided that the conditions of access are met.The goal is to enable the multiple(re)use of data with secure access functionality by clinicians(patient care),an idea aligned with the FAIR-based Personal Health Train(PHT)concept.The privacy and security requirements in relation to the FAIR Data Host and the FAIRification workspace(to produce metadata)or dashboard(for the patient)must be clear to design the IT architecture.This article describes a(first)practice,a reference implementation in development,within the VODAN-Africa and Leiden University Medical Center community.展开更多
文摘The industry sector is a very large producer and consumer of data,and many companies traditionally focused on production or manufacturing are now relying on the analysis of large amounts of data to develop new products and services.As many of the data sources needed are distributed and outside the company,FAIR data will have a major impact,both by reducing the existing internal data silos and by enabling the efficient integration with external(public and commercial)data.Many companies are still in the early phases of internal data”FAIRification”,providing opportunities for SMEs and academics to apply and develop their expertise on FAIR data in collaborations and public-private partnerships.For a global Internet of FAIR Data&Services to thrive,also involving industry,professional tools and services are essential.FAIR metrics and certifications on individuals,data,organizations,and software,must ensure that data producers and consumers have independent quality metrics on their data.In this opinion article we reflect on some industry specific challenges of FAIR implementation to be dealt with when choices are made regarding”Industry GOing FAIR”.
基金VODAN-Africathe Philips Foundation+2 种基金the Dutch Development Bank FMOCORDAIDthe GO FAIR Foundation for supporting this research
文摘The Virus Outbreak Data Network(VODAN)-Africa aims to contribute to the publication of Findable Accessible,Interoperable,and Reusable(FAIR)health data under well-defined access conditions.The next step in the VODAN-Africa architecture is to locally deploy the Center for Expanded Data Annotation and Retrieval(CEDAR)and arrange accessibility based on the‘data visiting’concept.Locally curated and reposited machine-actionable data can be visited by queries or algorithms,provided that the conditions of access are met.The goal is to enable the multiple(re)use of data with secure access functionality by clinicians(patient care),an idea aligned with the FAIR-based Personal Health Train(PHT)concept.The privacy and security requirements in relation to the FAIR Data Host and the FAIRification workspace(to produce metadata)or dashboard(for the patient)must be clear to design the IT architecture.This article describes a(first)practice,a reference implementation in development,within the VODAN-Africa and Leiden University Medical Center community.
