Results 101 to 110 of about 444,200 (304)

Increasing the FAIRness of phytolith data

open access: yes, 2022
This presentation was given on the 4th November 2021 to the EOSC WP 3 the meeting for FAIR Phytoliths project. It presents the projects aims and goals, scientific motivation, technical background, current status of data resources and workflows, workplan for implementation, training needs and key risks.
Kerfant, Celine   +5 more
openaire   +4 more sources

Determining Parental Factors for Clinical Trial Attrition in Pediatric Acute Lymphoblastic Leukemia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Despite high enrollment rates on Children's Oncology Group (COG) protocols, attrition after initial consent is challenging, introducing bias and prolonging trial completion. While adult oncology literature has identified predictors of withdrawal, little is known about caregiver decision‐making for child participation in ...
Kimberly L. Stathas   +3 more
wiley   +1 more source

Data Repository Selection Decision Tree for Researchers in the Earth, Space, and Environmental Sciences [PDF]

open access: yes, 2018
The AGU Enabling FAIR Data project’s Repository Guidance Targeted Adoption Group developed a detailed decision tree to understand all possible criteria that researchers should consider when determining an appropriate repository in which to deposit their ...
Danie Kinkade   +9 more
core   +1 more source

Decentralised Semantics: A Semantic Engine User Perspective

open access: yesData Science Journal
The Findable, Accessible, Interoperable and Reusable (FAIR) data principles were created to guide the improvement of research data (Wilkinson et al., 2016). As data curators and educators, we often see individual research groups and researchers establish
Carly M. Huitema   +3 more
doaj   +1 more source

Fair Data

open access: yes, 2018
Esitys on pidetty Informaatiotutkimuksen yhdistyksen kevätseminaarissa "Avoin julkaiseminen osana avointa tiedettä" 22.5.2018.
openaire   +1 more source

Nephrogenic Rests/Nephroblastomatosis in Patients With Unilateral Wilms Tumor Are Not Associated With an Increased Risk of Relapse: An Analysis of Patients Treated on the SIOP‐WT‐2001 Protocol in the SIOP‐UK‐CCLG and SIOP‐GPOH Studies (2001–2022)

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Nephrogenic rests (NRs) and nephroblastomatosis (NBM) are precursor lesions for development of Wilms tumor (WT). Their association with the risk of relapse has not been properly assessed, partly due to misunderstanding of their diagnostic criteria and terminology.
Gordan M. Vujanić   +5 more
wiley   +1 more source

Evaluating the Readability of Patient‐Facing Online Educational Materials for Pediatric Leukemia and Lymphoma

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Together, leukemia and lymphoma account for 38.7% of newly diagnosed pediatric cancer cases in the United States each year. Many caregivers utilize online resources to inform medical health decisions. Understanding the readability of these materials is critical to ensuring comprehensible patient education.
Chloe Strege   +6 more
wiley   +1 more source

HOMEROS Open Science: Integrated Seismological and Geodetic Ecosystems

open access: yesContributions to Geophysics and Geodesy
The HOMEROS project advances multi-hazard assessment through the integrated use of seismological and geodetic infrastructures within an Open Science framework.
Stylianos Bitharis   +11 more
doaj   +1 more source

A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho   +7 more
wiley   +1 more source

FAIR data

open access: yes
Goals Understand: what does FAIR data mean? apply: what does it really mean? Understand: data science pipeline and collaboration apply: looking into the „i“ and „r“ of FAIR Learning objectives The students can name and explain the special challenges of data science and its pipelines in the application area The students can explain ...
  +6 more sources

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