The Need of Industry to Go FAIR

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”.

[The inter-rater reliability of the Dutch version of the core. A validation study conducted among depressed elderly in-patients]

BACKGROUND

Assessment of psychomotor symptoms may lead to better classification of depressive disorders.

AIM

To test the inter-rater reliability of the Dutch version of CORE, an observational instrument for psychomotor symptoms.

METHOD

The CORE was used with 37 depressed in-patients and was scored by 5 psychiatrists. Intra-class correlation (ICCagreement) was tested.

RESULTS

ICCagreement of the total score (0.80), and the subscales non-interaction (0.74), retardation (0.70) and agitation (0.79) were sufficient.

CONCLUSION

The Dutch version of the CORE is a reliable instrument.