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| Autores principales: | , , , , , , , , , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2023
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| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2401.02965 |
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| _version_ | 1866929200622993408 |
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| author | Huang, Yu-Ning Love, Michael I. Ronkowski, Cynthia Flaire Deshpande, Dhrithi Schriml, Lynn M. Wong-Beringer, Annie Mons, Barend Corbett-Detig, Russell Hunter, Christopher I Moore, Jason H. Garmire, Lana X. Reddy, T. B. K. Hide, Winston A. Butte, Atul J. Robinson, Mark D. Mangul, Serghei |
| author_facet | Huang, Yu-Ning Love, Michael I. Ronkowski, Cynthia Flaire Deshpande, Dhrithi Schriml, Lynn M. Wong-Beringer, Annie Mons, Barend Corbett-Detig, Russell Hunter, Christopher I Moore, Jason H. Garmire, Lana X. Reddy, T. B. K. Hide, Winston A. Butte, Atul J. Robinson, Mark D. Mangul, Serghei |
| contents | Metadata, often termed "data about data," is crucial for organizing, understanding, and managing vast omics datasets. It aids in efficient data discovery, integration, and interpretation, enabling users to access, comprehend, and utilize data effectively. Its significance spans the domains of scientific research, facilitating data reproducibility, reusability, and secondary analysis. However, numerous perceptual and technical barriers hinder the sharing of metadata among researchers. These barriers compromise the reliability of research results and hinder integrative meta-analyses of omics studies . This study highlights the key barriers to metadata sharing, including the lack of uniform standards, privacy and legal concerns, limitations in study design, limited incentives, inadequate infrastructure, and the dearth of well-trained personnel for metadata management and reuse. Proposed solutions include emphasizing the promotion of standardization, educational efforts, the role of journals and funding agencies, incentives and rewards, and the improvement of infrastructure. More accurate, reliable, and impactful research outcomes are achievable if the scientific community addresses these barriers, facilitating more accurate, reliable, and impactful research outcomes. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_02965 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Perceptual and technical barriers in sharing and formatting metadata accompanying omics studies Huang, Yu-Ning Love, Michael I. Ronkowski, Cynthia Flaire Deshpande, Dhrithi Schriml, Lynn M. Wong-Beringer, Annie Mons, Barend Corbett-Detig, Russell Hunter, Christopher I Moore, Jason H. Garmire, Lana X. Reddy, T. B. K. Hide, Winston A. Butte, Atul J. Robinson, Mark D. Mangul, Serghei Digital Libraries Metadata, often termed "data about data," is crucial for organizing, understanding, and managing vast omics datasets. It aids in efficient data discovery, integration, and interpretation, enabling users to access, comprehend, and utilize data effectively. Its significance spans the domains of scientific research, facilitating data reproducibility, reusability, and secondary analysis. However, numerous perceptual and technical barriers hinder the sharing of metadata among researchers. These barriers compromise the reliability of research results and hinder integrative meta-analyses of omics studies . This study highlights the key barriers to metadata sharing, including the lack of uniform standards, privacy and legal concerns, limitations in study design, limited incentives, inadequate infrastructure, and the dearth of well-trained personnel for metadata management and reuse. Proposed solutions include emphasizing the promotion of standardization, educational efforts, the role of journals and funding agencies, incentives and rewards, and the improvement of infrastructure. More accurate, reliable, and impactful research outcomes are achievable if the scientific community addresses these barriers, facilitating more accurate, reliable, and impactful research outcomes. |
| title | Perceptual and technical barriers in sharing and formatting metadata accompanying omics studies |
| topic | Digital Libraries |
| url | https://arxiv.org/abs/2401.02965 |