A framework for developing a knowledge management platform
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arXiv
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| Format: | Preprint |
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2024
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| author | Mendoza, Marie Lisandra Zepeda Agarwal, Sonali Blackshaw, James A. Bol, Vanesa Fazzi, Audrey Fiorini, Filippo Foreman, Amy Louise George, Nancy Johnson, Brett R. Martin, Brian McComb, Dave Mutasa-Gottgens, Euphemia Parkinson, Helen Romacker, Martin Russell, Rolf Ségard, Valérien Tan, Shawn Zheng Kai Teh, Wei Kheng Winstanley, F. P. Wong, Benedict Smith, Adrian M. |
| author_facet | Mendoza, Marie Lisandra Zepeda Agarwal, Sonali Blackshaw, James A. Bol, Vanesa Fazzi, Audrey Fiorini, Filippo Foreman, Amy Louise George, Nancy Johnson, Brett R. Martin, Brian McComb, Dave Mutasa-Gottgens, Euphemia Parkinson, Helen Romacker, Martin Russell, Rolf Ségard, Valérien Tan, Shawn Zheng Kai Teh, Wei Kheng Winstanley, F. P. Wong, Benedict Smith, Adrian M. |
| contents | Knowledge management (KM) involves collecting, organizing, storing, and disseminating information to improve decision-making, innovation, and performance. Implementing KM at scale has become essential for organizations to effectively leverage vast accessible data. This paper is a compilation of concepts that emerged from KM workshops hosted by EMBL-EBI, attended by SMEs and industry. We provide guidance on envisioning, executing, evaluating, and evolving knowledge management platforms. We emphasize essential considerations such as setting knowledge domain boundaries and measuring success, as well as the importance of making knowledge accessible for downstream applications and non-computational users and highlights necessary personal and organizational skills for success. We stress the importance of collaboration and the need for convergence on shared principles and commitment to provide or seek resources to advance KM. The community is invited to join the journey of KM and contribute to the advancement of the field by applying and improving on the guidelines described. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_12313 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A framework for developing a knowledge management platform Mendoza, Marie Lisandra Zepeda Agarwal, Sonali Blackshaw, James A. Bol, Vanesa Fazzi, Audrey Fiorini, Filippo Foreman, Amy Louise George, Nancy Johnson, Brett R. Martin, Brian McComb, Dave Mutasa-Gottgens, Euphemia Parkinson, Helen Romacker, Martin Russell, Rolf Ségard, Valérien Tan, Shawn Zheng Kai Teh, Wei Kheng Winstanley, F. P. Wong, Benedict Smith, Adrian M. Databases Knowledge management (KM) involves collecting, organizing, storing, and disseminating information to improve decision-making, innovation, and performance. Implementing KM at scale has become essential for organizations to effectively leverage vast accessible data. This paper is a compilation of concepts that emerged from KM workshops hosted by EMBL-EBI, attended by SMEs and industry. We provide guidance on envisioning, executing, evaluating, and evolving knowledge management platforms. We emphasize essential considerations such as setting knowledge domain boundaries and measuring success, as well as the importance of making knowledge accessible for downstream applications and non-computational users and highlights necessary personal and organizational skills for success. We stress the importance of collaboration and the need for convergence on shared principles and commitment to provide or seek resources to advance KM. The community is invited to join the journey of KM and contribute to the advancement of the field by applying and improving on the guidelines described. |
| title | A framework for developing a knowledge management platform |
| topic | Databases |
| url | https://arxiv.org/abs/2406.12313 |