Results 21 to 30 of about 24,717,677 (336)

FAIR Digital Twins for Data-Intensive Research

Frontiers in Big Data, 2022
Although all the technical components supporting fully orchestrated Digital Twins (DT) currently exist, what remains missing is a conceptual clarification and analysis of a more generalized concept of a DT that is made FAIR, that is, universally machine ...
Erik Schultes, Erik Schultes, Marco Roos, Marco Roos, Luiz Olavo Bonino da Silva Santos, Giancarlo Guizzardi, Giancarlo Guizzardi, Jildau Bouwman, Jildau Bouwman, Thomas Hankemeier, Arie Baak, Barend Mons, Barend Mons, Barend Mons, Barend Mons   +14 more
doaj   +1 more source

Clearing the way for participatory data stewardship in artificial intelligence development: a mixed methods approach

Ergonomics, 2023
Participatory data stewardship (PDS) empowers individuals to shape and govern their data via responsible collection and use. As artificial intelligence (AI) requires massive amounts of data, research must assess what factors predict consumers ...
Sage Kelly, S. Kaye, Katherine M. White, Oscar Oviedo-Trespalacios   +3 more
semanticscholar   +1 more source

Reimagining data responsibility: 10 new approaches toward a culture of trust in re-using data to address critical public needs

Data & Policy, 2021
Data and data science offer tremendous potential to address some of our most intractable public problems (including the Covid-19 pandemic). At the same time, recent years have shown some of the risks of existing and emerging technologies.
Stefaan G. Verhulst
doaj   +1 more source

Data Stewardship – Austrian National Strategy and Alignment

Zeitschrift für Hochschulentwicklung, 2023
Within the FAIR Data Austria project, supported by the Federal Ministry for Education, Science, and Research (BMBWF), a national strategy has been established to advance the creation of tailored Data Stewardship solutions for the Austrian context.
Alexander Bardel, Ilire Hasani-Mavriqi, Claire Jean-Quartier, P. Schaffer, Therese Macher, Tereza Kalová, Michael Feichtinger, Monika Bargmann, Barbara Sánchez Solís, Christiane Stork, Tomasz Miksa, Florina Piroi   +11 more
semanticscholar   +1 more source

Giải pháp quy hoạch quản lý dữ liệu hỗ trợ nông nghiệp thông minh

Tạp chí Khoa học Đại học Cần Thơ, 2021
Năng lực ra quyết định chính xác và kịp thời trong nông nghiệp ảnh hưởng trực tiếp đến mức độ thông minh của nền nông nghiệp. Đứng ở góc độ quản lý khoa học, có thể nhận thấy bài toán thu thập, quản lý, chia sẻ các nguồn dữ liệu cần thiết cho các nghiên
Trương Xuân Việt, Nguyễn Hoàng Việt, Lê Hoàng Thảo, Cù Vĩnh Lộc, Trần Hoàng Việt, Lê Thành Phiêu, Nguyễn Hiếu Trung   +6 more
doaj   +3 more sources

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

Recording the ethical provenance of data and automating data stewardship

Big Data & Society, 2023
Health organisations use numerous different mechanisms to collect biomedical data, to determine the applicable ethical, legal and institutional conditions of use, and to reutilise the data in accordance with the relevant rules.
A. Bernier, Maili Raven-Adams, D. Zaccagnini, B. Knoppers   +3 more
semanticscholar   +1 more source

On The Road To A Common Understanding Of Data Stewardship In Science And The Humanities: The Case Of The Research Data Center At Universität Hamburg

, 2022
The more recent discussion of research data practices at relevant conferences, workshops and respective publications suggest substantially different foci of problems and solutions in managing data between scientific disciplines.
Peukert, Hagen, Brase, Lisa, Grünler, Steffen, Universität Hamburg, Center for Sustainable Research Data Management, Jacob, Juliane, Wörner, Kai, Vogel, Iris, Heinrich, Alexander, Melzer, Sylvia, Thiemann, Stefan   +9 more
core   +1 more source

Probabilistic Environmental Risk Assessment for Linear Alkyl Benzene Sulfonate (LAS) in Japan Reduces Assessment Uncertainty

Journal of Water and Environment Technology, 2020
The environmental risk of the anionic surfactant, linear alkylbenzene sulfonate (LAS), in Japanese surface waters is presented using a probabilistic exposure and effects assessment.
Sachiko Shiode, Kathleen McDonough, Scott E. Belanger, Greg J. Carr   +3 more
doaj   +1 more source

Data Stewards at the Data Science Center of the University of Bremen: Establishing Domain-Specific Data Stewardship

, 2022
Three Data Stewards complemented the Research Data Management (RDM) support infrastructure at the University of Bremen in summer 2022. They are located at the Data Science Center (DSC), an interdisciplinary institute founded in 2019 that acts as hub for ...
Lilkendey, Julian, Thöricht, Heike, Zänkert, Sandra, Steinmann, Lena, Drechsler, Rolf   +4 more
core   +1 more source