Results 51 to 60 of about 13,846,560 (292)

A Science Cloud for Data Intensive Sciences

Data Science Journal, 2013
It is often discussed that the fourth methodology for science research is "informatics". The first methodology is a theoretic approach, the second one is observation and/or experiment, and the third one is computer simulation. Informatics is a new methodology for data intensive science, which is a new concept based on the fact that most scientific data
Ken T. Murata, Shinichi Watari, Tsutomu Nagatsuma, Manabu Kunitake, Hidenobu Watanabe, Kazunori Yamamoto, Yasufumi Kubota, Hisao Kato, Takuya Tsugawa, Kentaro Ukawa, Kazuya Muranaga, Eizen Kimura, Osamu Tatebe, Keiichiro Fukazawa, Yasuhiro Murayama   +14 more
openaire   +3 more sources

Visualization in data science [PDF]

IEEE Computer Graphics and Applications, 2019
This Special Issue of IEEE Computer Graphics and Applications highlights six papers from the Symposium on Visualization in Data Science (VDS) held in Berlin, Germany in October 2018. VDS brought together hundreds of domain scientists and methods researchers (including visualization, usability and HCI, data management, statistics, machine learning, and ...
Adam Perer, Shixia Liu
openaire   +2 more sources

Hospitalization Through Families’ Eyes: Comparing Inpatient Care Quality for Children With Sickle Cell Disease and Cystic Fibrosis in Canada

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Sickle cell disease (SCD) is a chronic, inherited hemoglobinopathy that requires frequent hospitalization for disease‐related complications. Canadian data on inpatient care is limited. This study compared caregiver‐reported hospital experiences of children with SCD to those with cystic fibrosis (CF), a chronic, autosomal recessive ...
Hailey M. Zwicker, Kyle Kemp, Perri Tutelman, Sharon H. J. Hou, Paul Fairie, Maria Santana, Gregory M. T. Guilcher, Taryn Fay‐McClymont, Glenda Bendiak, Wendy Pelletier, Nicola Wright, Fiona Schulte   +11 more
wiley   +1 more source

Data Science as Political Action: Grounding Data Science in a Politics of Justice

Journal of Social Computing, 2021
In response to public scrutiny of data-driven algorithms, the field of data science has adopted ethics training and principles. Although ethics can help data scientists reflect on certain normative aspects of their work, such efforts are ill-equipped to ...
Ben Green
doaj   +1 more source

Venous Thromboembolism in Pediatric Bone Sarcoma Patients: A 10‐Year, Single‐Institution Experience Encompassing the COVID‐19 Pandemic

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Osteosarcoma (OS) and Ewing sarcoma (EWS) are the most common primary bone cancers in children, but acute thrombosis is poorly characterized in this population. Our study evaluated the rates of venous thromboembolism (VTE) and associated risk factors in pediatric patients with bone sarcomas treated over a 10‐year period encompassing
Sarah Kappa, Shou Xu, Mark Zobeck, Sarah E. Sartain, Nino Rainusso, Lisa Wang, Nicole Montgomery, Paige Wheaton, Sarah Whittle   +8 more
wiley   +1 more source

Spatially Explicit Data: Stewardship and Ethical Challenges in Science [PDF]

, 2013
Scholarly communication is at an unprecedented turning point created in part by the increasing saliency of data stewardship and data sharing. Formal data management plans represent a new emphasis in research, enabling access to data at higher volumes and
A Pollack, AJ Curtis, AS Zimmerman, B Nelson, C Peters, C Tenopir, CA MacKenzie, Carly A. Strasser, Catrina A. MacKenzie, CL Borgman, CL Borgman, CL Borgman, EJ Hackett, EV Carpenter, SR, Armbrust, F LeClere, G Bell, GC Bowker, GM Bowen, H Bauer, I Hay, IM Faniel, J Kellenberg, J Liu, JA Evans, Joel Hartter, John N. Parker, LK VanWey, M Haklay, M Leitner, MB Mascia, MF Goodchild, MF Goodchild, MF Goodchild, MNK Boulos, MNK Boulos, MP Armstrong, N Salafsky, PC Gøtzsche, S Benowitz, S Carlson, S Hilgartner, S Lele, Sadie J. Ryan, SE Hampton, SK Jacobson, W Roth   +45 more
core   +4 more sources

Serological Benefit of SARS‐CoV‐2 Vaccination Relative to Infection in Children With Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with acute lymphoblastic leukemia (ALL) are at risk of severe outcomes from SARS‐CoV‐2 (SCV2). In the post‐pandemic context, where most children have been infected with SCV2, there are limited data on whether vaccination remains beneficial in children with ALL.
Janna R. Shapiro, Freda Qi, Karen Colwill, Alina D. Dorogy, Ying Liu, Michelle Science, Anne‐Claude Gingras, James M. Rini, Sumit Gupta, Sarah Alexander, Shelly Bolotin, Tania H. Watts   +11 more
wiley   +1 more source

Data Science Degree Apprentice

Patterns, 2020
In September 2019, 27 apprentices enrolled in the Level 6 Applied Data Science Degree Apprenticeship program, the first of its type in Wales. This article details the experiences of an apprentice on the course who works in the Data Science Campus at the ...
Evie Brown
doaj   +1 more source

Using Data in Undergraduate Science Classrooms [PDF]

, 2007
Provides pedagogical insight concerning the skill of using data The resource being annotated is: http://www.dlese.org/dds/catalog_DATA-CLASS-000-000-000-007 ...
Lamont-Doherty Earth Observatory, Columbia University
core  

Defining Data Science

CoRR, 2015
Data science is gaining more and more and widespread attention, but no consensus viewpoint on what data science is has emerged. As a new science, its objects of study and scientific issues should not be covered by established sciences. Data in cyberspace have formed what we call datanature.
Yangyong Zhu, Yun Xiong
openaire   +2 more sources