Quality Matters: Biocuration Experts on the Impact of Duplication and Other Data Quality Issues in Biological Databases

Chen, Qingyu; Britto, Ramona; Erill, Ivan; Jeffery, Constance J.; Liberzon, Arthur; Magrane, Michele; Onami, Jun-ichi; Robinson‐Rechavi, Marc; Sponarová, J; Zobel, Justin; Verspoor, Karin

doi:10.1016/j.gpb.2018.11.006

Cited by 14 publications

(9 citation statements)

References 94 publications

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“…The constant curation of data resources ensures the quality, accuracy and depth of data, improves their reuse and builds trust in those data resources [R7] . This requires funds to sustain the expert interpretation and classification of vast amounts of information (Bourne et al , 2015; Karp, 2016; Chen et al , 2020). Expert curation is essential for the provision and dissemination of high‐quality, accurate data and the associated metadata, which can be productively used for specific research applications.…”

Section: Sustainability Essentials Tools and Challengesmentioning

confidence: 99%

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“Be sustainable”: EOSC‐Life recommendations for implementation of FAIR principles in life science data handling

David,

Rybina,

Burel

et al. 2023

The EMBO Journal

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The main goals and challenges for the life science communities in the Open Science framework are to increase reuse and sustainability of data resources, software tools, and workflows, especially in large‐scale data‐driven research and computational analyses. Here, we present key findings, procedures, effective measures and recommendations for generating and establishing sustainable life science resources based on the collaborative, cross‐disciplinary work done within the EOSC‐Life (European Open Science Cloud for Life Sciences) consortium. Bringing together 13 European life science research infrastructures, it has laid the foundation for an open, digital space to support biological and medical research. Using lessons learned from 27 selected projects, we describe the organisational, technical, financial and legal/ethical challenges that represent the main barriers to sustainability in the life sciences. We show how EOSC‐Life provides a model for sustainable data management according to FAIR (findability, accessibility, interoperability, and reusability) principles, including solutions for sensitive‐ and industry‐related resources, by means of cross‐disciplinary training and best practices sharing. Finally, we illustrate how data harmonisation and collaborative work facilitate interoperability of tools, data, solutions and lead to a better understanding of concepts, semantics and functionalities in the life sciences.

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Section: Sustainability Essentials Tools and Challengesmentioning

confidence: 99%

“…Chen et al, 2020). Expert curation is essential for the provision and dissemination of high-quality, accurate data and the associated metadata, which can be productively used for specific research applications.…”

mentioning

confidence: 99%

“Be sustainable”: EOSC‐Life recommendations for implementation of FAIR principles in life science data handling

David,

Rybina,

Burel

et al. 2023

The EMBO Journal

View full text Add to dashboard Cite

show abstract

“…One of the contributing factors to this bias is the prevalence of duplicate or near-duplicate samples in gait parameter data [ 152 ]. Since gait parameters are derived from similar daily activities, the occurrence of duplicate samples is more apparent.…”

Section: Challenges and Outlookmentioning

confidence: 99%

Insole Systems for Disease Diagnosis and Rehabilitation: A Review

Zhang,

Dai,

et al. 2023

Biosensors

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Some chronic diseases, including Parkinson’s disease (PD), diabetic foot, flat foot, stroke, elderly falling, and knee osteoarthritis (KOA), are related to orthopedic organs, nerves, and muscles. The interaction of these three parts will generate a comprehensive result: gait. Furthermore, the lesions in these regions can produce abnormal gait features. Therefore, monitoring the gait features can assist medical professionals in the diagnosis and analysis of these diseases. Nowadays, various insole systems based on different sensing techniques have been developed to monitor gait and aid in medical research. Hence, a detailed review of insole systems and their applications in disease management can greatly benefit researchers working in the field of medical engineering. This essay is composed of the following sections: the essay firstly provides an overview of the sensing mechanisms and parameters of typical insole systems based on different sensing techniques. Then this essay respectively discusses the three stages of gait parameters pre-processing, respectively: pressure reconstruction, feature extraction, and data normalization. Then, the relationship between gait features and pathogenic mechanisms is discussed, along with the introduction of insole systems that aid in medical research; Finally, the current challenges and future trends in the development of insole systems are discussed.

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“…As mentioned above, piezoelectric ceramics are milled into particles for further fabrication. The most common fabricating method is screen printing milled particles on a substrate layer under high temperature [ 85 ]. Sensors constructed with this method usually have a higher

.…”

Section: Comparison and Review Of Piezoresistive And Piezoelectric Ps...mentioning

confidence: 99%

Comparison between Piezoelectric and Piezoresistive Wearable Gait Monitoring Techniques

Zhang

Chen

et al. 2022

Materials

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Insole plantar stress detection (PSD) techniques play an important role in gait monitoring. Among the various insole PSD methods, piezoelectric- and piezoresistive-based architectures are broadly used in medical scenes. Each year, a growing number of new research outcomes are reported. Hence, a deep understanding of these two kinds of insole PSD sensors and state-of-the-art work would strongly benefit the researchers in this highly interdisciplinary field. In this context, this review article is composed of the following aspects. First, the mechanisms of the two techniques and corresponding comparisons are explained and discussed. Second, advanced materials which could enhance the performance of current piezoelectric and piezoresistive insole prototypes are introduced. Third, suggestions for designing insole PSD prototypes/products for different diseases are offered. Last, the current challenge and potential future trends are provided.

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Quality Matters: Biocuration Experts on the Impact of Duplication and Other Data Quality Issues in Biological Databases

Cited by 14 publications

References 94 publications

“Be sustainable”: EOSC‐Life recommendations for implementation of FAIR principles in life science data handling

“Be sustainable”: EOSC‐Life recommendations for implementation of FAIR principles in life science data handling

Insole Systems for Disease Diagnosis and Rehabilitation: A Review

Comparison between Piezoelectric and Piezoresistive Wearable Gait Monitoring Techniques

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