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The SCOPE framework - implementing ideals of responsible research assessment. [PDF]
F1000Res, 2023 Himanen L +5 more
europepmc +1 more source
ASSESSMENT OF DISADVANTAGED ADOLESCENTS: A DIFFERENT APPROACH TO RESEARCH AND EVALUATION MEASURES1 [PDF]
, 1969 Norman E. Freeberg
openalex +1 more source
Review of: National Research Council, Issues in Risk Assessment [PDF]
, 1994 Review of: National Research Council, Issues in Risk Assessment (National Academy Press). Appendices, executive summary, figures, preface, references, tables. LC 92-61838; ISBN 0-309-04786-2. [374 pp.
Albert, Diane M.
core +1 more source
FEBS Letters, EarlyView.Three‐dimensional (3D) biological systems have become key tools in lymphoma research, offering reliable in vitro and ex vivo platforms to explore pathogenesis and support precision medicine. This review highlights current 3D non‐Hodgkin lymphoma models, detailing their features, advantages, and limitations, and provides a broad perspective on future ...
Carla Faria +3 more
wiley +1 more source
NovationVon Schomberg offers a compelling examination of key open science principles and their potential role in fostering responsible research and innovation (RRI).
Mónica Edwards-Schachter
doaj +1 more source
Viewing research assessment, the academic reward system, and academic publishing through the power/knowledge lens of Foucault. [PDF]
Front Res Metr Anal, 2023 Bowman TD.
europepmc +1 more source
A Comprehensive, Multi-modal Evaluation of the Assessment System of an Undergraduate Research Methodology Course: Translating Theory into Practice [PDF]
, 1969 Hamza Mohammad Abdulghani +3 more
openalex +1 more source
, 2007 The Soil and Water Assessment Tool (SWAT) model is a continuation of nearly 30 years of modeling efforts conducted by the USDA Agricultural Research Service (ARS).
P. Gassman +3 more
semanticscholar +1 more source
From omics to AI—mapping the pathogenic pathways in type 2 diabetes
FEBS Letters, EarlyView.Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan +2 more
wiley +1 more source
Towards the Non-Mertonian Ethos of a Non-Mertonian Science: Situating the Research Value of Openness
NovationIt is hard to disagree with the thrust of René von Schomberg’s position paper. It is driven by the worry that current conceptions of “open science” are all too impoverished – that they need to be complemented by the social practice of “mutual ...
Alfred Nordmann
doaj +1 more source