Article
Veterinary Sciences
Michelle S. Koo, Vance T. Vredenburg, John B. Deck, Deanna H. Olson, Kathryn L. Ronnenberg, David B. Wake
Summary: Emerging infectious diseases, particularly chytridiomycosis, pose a significant threat to amphibians, the most endangered class of vertebrates. Despite a growing body of research, the comprehensive understanding of global chytridiomycosis incidence remains elusive, leading to the development of a new Amphibian Disease Portal to archive, aggregate, and share data for research and conservation efforts. This portal provides a repository for legacy data, sample-level data, and global aggregation of infection data, aiming to accelerate scientific research and conservation efforts for amphibian diseases.
FRONTIERS IN VETERINARY SCIENCE
(2021)
Article
Biochemical Research Methods
Bryan A. Bartley
Summary: With the increasing automation and data-driven nature of synthetic biology, tools that aid researchers in implementing FAIR data management practices are necessary. Tyto, a lightweight Python tool, addresses the difficulty of adopting standardized annotation practices by providing support for controlled vocabularies in everyday scripting practice.
ACS SYNTHETIC BIOLOGY
(2022)
Article
Public, Environmental & Occupational Health
Sylvia Kiwuwa-Muyingo, Jim Todd, Tathagata Bhattacharjee, Amelia Taylor, Jay Greenfield
Summary: The COVID-19 pandemic has driven the use of AI and DS innovations in data collection and aggregation. INSPIRE utilizes the OMOP CDM implemented in the cloud as a PaaS for COVID-19 data, allowing for optimization of public health response and patient recovery. INSPIRE-PEACH harmonizes and analyzes data from Kenya and Malawi using AI technologies, enabling the discovery and evaluation of COVID-19 pathways.
FRONTIERS IN PUBLIC HEALTH
(2023)
Review
Ophthalmology
William Halfpenny, Sally L. Baxter
Summary: Standardization and privacy are seen as complementary aspects of data sharing in ophthalmology. Recent developments include government regulations, common data models, and technologies like blockchain and synthetic data to address privacy concerns. Further work is still needed in certain areas.
CURRENT OPINION IN OPHTHALMOLOGY
(2022)
Article
Computer Science, Information Systems
Nana Huang, Ruimin Hu, Xiaochen Wang, Hongwei Ding, Xinjian Huang
Summary: Cross-platform sequential recommendations are proposed to address the issues of sparse data and cold starts in recommendation systems. The NATSR model, which transfers item embedding cross-platform and only shares item-level relevance data, achieves the best recommendation performance and effectively addresses data sparsity and user privacy preservation.
INFORMATION SCIENCES
(2023)
Article
Computer Science, Information Systems
Ken Figueredo, Dale Seed, Chonggang Wang
Summary: The full potential of IoT data is often not realized due to limited use cases and restricted access to a few users. An IoT data marketplace concept allows for greater opportunities by enabling data sharing between suppliers and consumers, such as AI developers and IoT service providers. Standardization is crucial for an effective marketplace, setting the rules and establishing a technical baseline. This article introduces an IoT data marketplace framework and showcases its application in smart city and intelligent transport system deployments, emphasizing the benefits of standardization for replicable solutions, interoperability, and business model innovation.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Md Azharul Islam, Sanjay K. Madria
Summary: This article introduces a new secure multi-group data sharing scheme, ReVO-ABE, based on revocable attribute-based encryption, and a dynamic multi-group secure data sharing scheme, DMG-SDS, built on top of ReVO-ABE. The proposed scheme allows multi-group operations without affecting the keys of nonrevoked users and exhibits better performance compared to recent competitive schemes.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2022)
Article
Medicine, General & Internal
Yuting Duan, Jingyuan Luo, Lingyun Zhao, Xuan Zhang, Jiangxia Miao, David Moher, Zhaoxiang Bian
Summary: This study conducted a cross-sectional study on COVID-19 vaccine trials and found that the reporting and data sharing level was not optimal. The authors hope for improvement in future trials and recommend establishing a comprehensive, accurate data sharing system.
Article
Computer Science, Theory & Methods
Parminder Singh, Mehedi Masud, M. Shamim Hossain, Avinash Kaur
Summary: This paper presents a centralized cloud-based cross-domain data sharing platform using multiple security gateways, storing information through blockchain technology, to address cross-domain communication, privacy, and security issues in manufacturing process. Experimental results show that the framework helps maintain trust among different domains collaborating on manufacturing.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
(2021)
Editorial Material
Multidisciplinary Sciences
Jeffrey M. Perkel
Summary: Specialists provide seven tips for effectively sharing data.
Editorial Material
Multidisciplinary Sciences
Deepak Srivastava
Summary: The cytokine meteorin-like (METRNL) has been found to improve cardiac function in mice after a heart attack.
Article
Biochemical Research Methods
Andrew R. Jones, Eric W. Deutsch, Juan Antonio Vizcaino
Summary: DIA proteomics techniques have made significant progress in recent years, but there is still room for improvement in terms of FAIR data principles. To enhance the current situation for DIA data, recommendations include developing an open data standard for spectral libraries, mandating the availability of spectral libraries in ProteomeXchange resources, improving support for DIA data in data standards, and enhancing support for DIA datasets in ProteomeXchange resources.
Article
Psychology, Multidisciplinary
Julian Burger, Adela-Maria Isvoranu, Gabriela Lunansky, Jonas M. B. Haslbeck, Sacha Epskamp, Ria H. A. Hoekstra, Eiko I. I. Fried, Denny Borsboom, Tessa F. F. Blanken
Summary: Statistical network models for multivariate dependency structures in psychological data are gaining popularity, but there is little guidance on reporting standards for these techniques. This lack of reporting standards may lead to questionable reporting practices and a lack of transparency. In this article, the authors introduce reporting standards for network analyses in cross-sectional data and provide a tutorial and examples. These guidelines are aimed at researchers, reviewers, and journal editors to improve the reporting and transparency of network analyses.
PSYCHOLOGICAL METHODS
(2023)
Editorial Material
Biochemical Research Methods
Vivien Marx
Summary: Chemical modifications to DNA, histones and RNA play a crucial role in making functional changes. Scientists are actively studying methods to monitor and understand these modifications and their interactions.
Article
Computer Science, Theory & Methods
Guowen Xu, Shengmin Xu, Jinhua Ma, Jianting Ning, Xinyi Huang
Summary: This paper presents a secure and efficient cloud-based data-sharing system with fine-grained access control and dynamic user group support. The system achieves adaptive security, forward secrecy, and decryption key exposure resistance. Two timestamp management mechanisms are introduced to support dynamic user groups with forward secrecy, and novel attribute-based encryption schemes are proposed. Theoretical analysis and experimental simulation demonstrate the superiority of the proposed solutions.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2023)