Editorial: Data science and artificial intelligence for (better) science

Editorial: Data science and artificial intelligence for (better) science

Bibliographic Details
Main Authors:	Jean-Claude Burgelman, Kuansan Wang
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-04-01
Series:	Frontiers in Research Metrics and Analytics
Subjects:	data science artificial intelligence open data research life cycle knowledge production
Online Access:	https://www.frontiersin.org/articles/10.3389/frma.2023.1177903/full

Similar Items

Open data: The building block of 21st century (open) science
by: Corina Pascu, et al.
Published: (2022-01-01)

Artificial intelligence-open science symbiosis in chemoinformatics
by: Filip Miljković, et al.
Published: (2024-06-01)

Data science and data analytics in life science research
by: Jürgen Bajorath
Published: (2023-12-01)

Editorial: Sustainametrics—Envisioning a sustainable future with data science
by: Shutaro Takeda, et al.
Published: (2023-02-01)

Artificial intelligence for ocean science data integration: current state, gaps, and way forward
by: Tomer Sagi, et al.
Published: (2020-05-01)

Artificial intelligence in medicine and health sciences
by: Parameshwar R Hegde, et al.
Published: (2021-01-01)

The Cross-integration Development Path of Information Science and Communication Science in the Background of Artificial Intelligence and Big Data
by: MA Xiaoyue, XUE Pengzhen
Published: (2020-03-01)

Medical artificial intelligence: driven by the fusion of knowledge⁃guided and data⁃mining methodologies
by: WU Jia⁃ling, et al.
Published: (2023-01-01)

Editorial: When Data Science, Humanities and Social Sciences Meet: Cross-Talks and Insights in Public Health
by: Thomas Lefèvre, et al.
Published: (2020-02-01)

The Development of Educational Competences for Romanian Students in the Context of the Evolution of Data Science and Artificial Intelligence
by: Giani Ionel Grădinaru, et al.
Published: (2024-02-01)

Research Data Management Status of Science and Technology Research Institutes in Korea
by: Myung-seok Choi, et al.
Published: (2020-08-01)

Open Access to research data as a driver for Open science
by: Elena Giglia
Published: (2015-05-01)

University Science and Education in the Context of Artificial Intelligence
by: D. A. Endovitskiy, et al.
Published: (2021-07-01)

Artificial Intelligence: The Gateway to Better Medical Diagnosis
by: Ekhlas Khalid Hameed, et al.
Published: (2024-04-01)

Handbook of Geospatial Artificial Intelligence /
by: Gao, Song, editor 410489, et al.
Published: ([202)

Identifying and prioritizing the components of Data driven R&D Management in artificial Intelligence companies
by: Saleh Achak, et al.
Published: (2023-01-01)

Enhancing Legally-Based E-Government Services in Education Through Artificial Intelligence
by: Žaklina Spalević, et al.
Published: (2023-12-01)

Artificial Intelligence in Biological Sciences
by: Abhaya Bhardwaj, et al.
Published: (2022-09-01)

Quality Control and Verification of Artificial Intelligence Data
by: Myeung Un Kim, et al.
Published: (2021-09-01)

Artificial intelligence and Big Data in neurology
by: Edson Amaro Junior
Published: (2022-08-01)

Networks, data mining and artificial intelligence : trends and future directions /
by: Bhattacharyya, Dhruba K., et al.
Published: (2006)

The Critical Importance of Citizen Science Data
by: Alex de Sherbinin, et al.
Published: (2021-03-01)

Artificial intelligence in cancer research: learning at different levels of data granularity
by: Davide Cirillo, et al.
Published: (2021-04-01)

Using Artificial Intelligence for Creating and Managing Organizational Knowledge
by: Matija Kovačić, et al.
Published: (2022-01-01)

Artificial Intelligence Methodologies for Data Management
by: Joel Serey, et al.
Published: (2021-10-01)

Editorial: Ultrasound in Oncology: Application of Big Data and Artificial Intelligence
by: Yu-Ting Shen, et al.
Published: (2021-12-01)

Research on the Innovation of Science and Technology Management Data Service Mode under Artificial Intelligence Technology
by: Xiao Xiaohua, et al.
Published: (2024-01-01)

Editorial: Innovations and Perspectives in Data Mining and Knowledge Discovery
by: Naoki Abe, et al.
Published: (2021-01-01)

Operations with Nested Named Sets as a Tool for Artificial Intelligence
by: Mark Burgin
Published: (2022-04-01)

Artificial intelligence in business, science and industry /
by: 259182 Rauch-Hindin, Wendy B.
Published: (1986)

Ten (mostly) simple rules to future‐proof trait data in ecological and evolutionary sciences
by: Alexander Keller, et al.
Published: (2023-02-01)

A Bibliometric Analysis of the Use of Artificial Intelligence Technologies for Social Sciences
by: Tuba Bircan, et al.
Published: (2022-11-01)

Expert recommendation on collection, storage, annotation, and management of data related to medical artificial intelligence
by: Yahan Yang, et al.
Published: (2023-05-01)

Artificial Intelligence Algorithms Inspired By Life Sciences
by: Hüseyin Turgut
Published: (2018-12-01)

Editorial: Big data and artificial intelligence in ophthalmology
by: Sahil Thakur, et al.
Published: (2023-02-01)

Foundations of distributed artificial intelligence /
by: O'Hare, G. M. P., et al.
Published: (1996)

Discrimination of artificial intelligence in healthcare
by: Michael Yu. Khomyakov
Published: (2023-06-01)

Human Resource Management Intelligence Pattern Based on Data Science and Machine Learning
by: Reyhaneh Forouzandeh Joonaghani, et al.
Published: (2022-06-01)

Artificial intelligence in clinical and translational science: Successes, challenges and opportunities
by: Elmer V. Bernstam, et al.
Published: (2022-02-01)

Specific contributions of artificial intelligence to interdisciplinary life science research – exploring and communicating new opportunities
by: Jürgen Bajorath
Published: (2023-12-01)