Results 31 to 40 of about 2,278,950 (331)
SPOT: Open Source framework for scientific data repository and interactive visualization [PDF]
SPOT is an open source and free visual data analytics tool for multi-dimensional data-sets. Its web-based interface allows a quick analysis of complex data interactively. The operations on data such as aggregation and filtering are implemented.
Attema, Jisk +5 more
core +2 more sources
Big-Data-Driven Materials Science and its FAIR Data Infrastructure [PDF]
This chapter addresses the forth paradigm of materials research -- big-data driven materials science. Its concepts and state-of-the-art are described, and its challenges and chances are discussed.
A Agrawal +74 more
core +3 more sources
FAIR EVA: Checking data FAIRness in data repositories
Trabajo presentado al 17th International Conference on Open Repositories, celebrado en Denver (USA) del 6 al 9 de junio de 2022.
Aguilar, Fernando, Bernal, Isabel
openaire +2 more sources
FAIR DATA COLLECTIVE: FAIR Made Easy
This is a presentation given at the RDA Plenary 17 during IG RDMinEng session (Breakout 7).
Vasiljevic, Nikola, Graybeal, John
openaire +1 more source
The National Institutes of Health (NIH) Stimulating Peripheral Activity to Relieve Conditions (SPARC) program seeks to accelerate the development of therapeutic devices that modulate electrical activity in nerves to improve organ function.
Jongchan Kim +4 more
doaj +1 more source
Representative & Fair Synthetic Data
Algorithms learn rules and associations based on the training data that they are exposed to. Yet, the very same data that teaches machines to understand and predict the world, contains societal and historic biases, resulting in biased algorithms with the risk of further amplifying these once put into use for decision support.
Tiwald, Paul +2 more
openaire +2 more sources
Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy [PDF]
Fairness concerns about algorithmic decision-making systems have been mainly focused on the outputs (e.g., the accuracy of a classifier across individuals or groups). However, one may additionally be concerned with fairness in the inputs.
Agarwal Alekh +11 more
core +2 more sources
Is the Fair Sampling Assumption supported by EPR Experiments? [PDF]
We analyze optical EPR experimental data performed by Weihs et al in Innsbruck 1997-1998. We show that for some linear combinations of the raw coincidence rates, the experimental results display some anomalous behavior that a more general source state ...
Adenier, Guillaume +1 more
core +2 more sources
Correction: 39 Hints to Facilitate the Use of Semantics for Data on Agriculture and Nutrition
This article details a correction to the article: Caracciolo, C., Aubin, S., Jonquet, C., Amdouni, E., David, R., Garcia, L., Whitehead, B., Roussey, C., Stellato, A. and Villa, F., 2020.
Caterina Caracciolo +9 more
doaj +1 more source
Decline in an Atlantic Puffin population : evaluation of magnitude and mechanisms [PDF]
Funding: This study was funded annually by Fair Isle Bird Observatory Trust (www.fairislebirdobs.co.uk) with contributions from the Joint Nature Conservation Committee (jncc.defra.gov.uk).
Harvey, Paul V +7 more
core +4 more sources

