Highlights•Implementing FAIR in pharmaceutical R&D is a costly and challenging endeavour.•None of the existing approaches for implementing FAIR principles in drug R&D …
B Mons, E Schultes, F Liu, A Jacobsen - Data Intelligence, 2020 - direct.mit.edu
“FAIR enough”?... A question asked on a daily basis in the rapidly evolving field of open science and the underpinning data stewardship profession. After the publication of the FAIR …
M Bloemers, A Montesanti - Data Intelligence, 2020 - direct.mit.edu
A growing number of research funding organizations (RFOs) are taking responsibility to increase the scientific and social impact of research output. Also reusable research data are …
M Parciak, M Suhr, C Schmidt, C Bönisch… - BMC Medical Informatics …, 2023 - Springer
Background Secondary use of routine medical data is key to large-scale clinical and health services research. In a maximum care hospital, the volume of data generated exceeds the …
The findable, accessible, interoperable, reusable (FAIR) principles for scientific data management and stewardship aim to facilitate data reuse at scale by both humans and …
In this paper we describe the pragmatic approach of initiating, designing and implementing the Data Management Plan (DMP) and the data FAIRification process in the multidisciplinary …
In this paper, we exhibit how to construct a template for capturing antimicrobial capacity data of nanomaterials or nanoenabled products. The template promotes the principles of making …