Protecting privacy and ensuring confidentiality in data is a critical component of modernizing our national data infrastructure. The use of blended data - combining previously collected data sources - presents new considerations for responsible data …
When the scientific dataset evolves or is reused in workflows creating derived datasets, the integrity of the dataset with its metadata information, including provenance, needs to be securely preserved while providing assurances that they are not …
Objectives
To investigate the model-, code-, and data-sharing practices in the current radiomics research landscape and to introduce a radiomics research database.
Methods
A total of 1254 articles published between January 1, 2021, and December 31, …
Healthy aging is associated with deficits in performance on episodic memory tasks. Popular verbal theories of the mechanisms underlying this decrement have primarily focused on inferred changes in associative memory. However, performance on any task …
Demand is growing for evidence-based policy making, but there is also growing recognition in the social science community that limited transparency and openness in research have contributed to widespread problems. With this course, you can explore …
Data availability and reusability are critical to open research. The FAIR principles provide a minimal set of guiding principles for making data findable, accessible, interoperable and reusable. Open data are not necessarily FAIR, and FAIR data are …
As an educational tool, the Checklist can be used to teach and improve the standards of transparency and credibility in research reports made by students. The aim is that students are embedded in transparent and open practices from the beginning of …
The language and conceptual framework of “research reproducibility” are nonstandard and unsettled across the sciences. In this Perspective, we review an array of explicit and implicit definitions of reproducibility and related terminology, and …
In this course, we will explore the so‐called “reproducibility crisis” that has struck fields from psychology and economics to ecology and cancer biology. You will learn statistical principles at the heart of the reproducibility crisis, how disregard …