Results 41 to 50 of about 26,063,590 (386)

Ownership of individual-level health data, data sharing, and data governance

BMC Medical Ethics, 2022
Background The ownership status of individual-level health data affects the manner in which it is used. In this paper we analyze two competing models of the ownership status of the data discussed in the literature recently: private ownership and public ...
J. Piasecki, P. Cheah
semanticscholar   +1 more source

Risk Assessment for Scientific Data

Data Science Journal, 2020
Ongoing stewardship is required to keep data collections and archives in existence. Scientific data collections may face a range of risk factors that could hinder, constrain, or limit current or future data use.
Matthew S. Mayernik, Kelsey Breseman, Robert R. Downs, Ruth Duerr, Alexis Garretson, Chung-Yi (Sophie) Hou, Environmental Data Governance Initiative (EDGI) and Earth Science Information Partners (ESIP) Data Stewardship Committee   +6 more
doaj   +1 more source

Analysis of a Human Meta-Strategy for Agents with Active and Passive Strategies

Applied Sciences, 2022
Human cooperative behavior includes passive action strategies based on others and active action strategies that prioritize one’s own objective. Therefore, for cooperation with humans, it is necessary to realize a robot that uses these strategies to ...
Kensuke Miyamoto, Norifumi Watanabe, Osamu Nakamura, Yoshiyasu Takefuji   +3 more
doaj   +1 more source

Graph Based Collaborative Extraction Method for Keywords and Summary from Documents [PDF]

Jisuanji kexue, 2021
The purpose of keywords extraction and summary extraction is to select key content from the original document to express the main meaning of the original document.The evaluation of keywords and summarization quality mainly depends on whether it can cover
MAO Xiang-ke, HUANG Shao-bin, YU Qin-yong
doaj   +1 more source

Data governance: Organizing data for trustworthy Artificial Intelligence

Government Information Quarterly, 2020
The rise of Big, Open and Linked Data (BOLD) enables Big Data Algorithmic Systems (BDAS) which are often based on machine learning, neural networks and other forms of Artificial Intelligence (AI).
M. Janssen, P. Brous, Elsa Estevez, L. Barbosa, T. Janowski   +4 more
semanticscholar   +1 more source

Data governance in smart cities: Challenges and solution directions

J. Smart Cities Soc., 2022
Today, our environment and the objects therein are equipped with an increasing number of devices such as cameras, sensors, and actuators, which all together produce a huge amount of data.
Sunil Choenni, M. Bargh, Tony Busker, Niels Netten   +3 more
semanticscholar   +1 more source

Gender gaps in urban mobility

Humanities & Social Sciences Communications, 2020
Mobile phone data have been extensively used to study urban mobility. However, studies based on gender-disaggregated large-scale data are still lacking, limiting our understanding of gendered aspects of urban mobility and our ability to design policies ...
Laetitia Gauvin, Michele Tizzoni, Simone Piaggesi, Andrew Young, Natalia Adler, Stefaan Verhulst, Leo Ferres, Ciro Cattuto   +7 more
doaj   +1 more source

Text Similarity Computing Model Based on Weighted Combination of Multiple Models [PDF]

Jisuanji gongcheng, 2023
A text similarity computing model based on multi-model weighted combination is established to address the issues of traditional text similarity computing models that do not consider semantic and structural information and are thus prone to ignoring text ...
Dong LIU, Hui YANG, Shaopei JI, Yang CAO
doaj   +1 more source

Regional development and climate change adaptation: a study of the role of legitimacy [PDF]

, 2016
This paper presents results from a study of Czech Local Action Groups (LAGs), focusing on gaining knowledge about their internally perceived legitimacy and their potential role in local adaptation to climate change.
Danihelka, Pavel, Forsberg, Ellen-Marie, Thorstensen, Erik, Underthun, Anders, Řeháček, Jakub   +4 more
core   +2 more sources

Towards standardised cross-sectoral agreements for data depositing and data access in Trusted Research Environments: streamlined contracting to advance public benefit research. 

International Journal of Population Data Science
Objective  Trusted Research Environments (TREs) rely on Data Contributor Agreements (DCAs) and Data Access Agreements (DAAs) to bind organisations to terms and conditions in place to protect data.
Rachel Brophy, Cassie Smith, Andy Boyd, Pan UK Data Governance Steering Group   +3 more
doaj   +1 more source