46 lines
No EOL
2.6 KiB
Markdown
46 lines
No EOL
2.6 KiB
Markdown
---
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title: "Research Data Management and Data Sharing for Reproducible Research\u2014Results\
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\ of a Community Survey of the German National Research Data Infrastructure Initiative\
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\ Neuroscience"
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persons:
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- michael-hanke
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topics:
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- research-data-management
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params:
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graphRootNodePID: xyzrins:publications/c96801de-5f95-46be-98d4-98a5a9b8c609
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pid: xyzrins:publications/c96801de-5f95-46be-98d4-98a5a9b8c609
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doi: 10.1523/ENEURO.0215-22.2023
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date: 2023-02
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title: "Research Data Management and Data Sharing for Reproducible Research\u2014\
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Results of a Community Survey of the German National Research Data Infrastructure\
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\ Initiative Neuroscience"
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description: 'Science is changing: the volume and complexity of data are increasing,
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the number of studies is growing and the goal of achieving reproducible results
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requires new solutions for scientific data management. In the field of neuroscience,
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the German National Research Data Infrastructure (NFDI-Neuro) initiative aims to
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develop sustainable solutions for research data management (RDM). To obtain an understanding
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of the present RDM situation in the neuroscience community, NFDI-Neuro conducted
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a comprehensive survey among the neuroscience community. Here, we report and analyze
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the results of the survey. We focused the survey and our analysis on current needs,
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challenges, and opinions about RDM. The German neuroscience community perceives
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barriers with respect to RDM and data sharing mainly linked to (1) lack of data
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and metadata standards, (2) lack of community adopted provenance tracking methods,
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(3) lack of secure and privacy preserving research infrastructure for sensitive
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data, (4) lack of RDM literacy, and (5) lack of resources (time, personnel, money)
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for proper RDM. However, an overwhelming majority of community members (91%) indicated
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that they would be willing to share their data with other researchers and are interested
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to increase their RDM skills. Taking advantage of this willingness and overcoming
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the existing barriers requires the systematic development of standards, tools, and
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infrastructure, the provision of training, education, and support, as well as additional
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resources for RDM to the research community and a constant dialogue with relevant
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stakeholders including policy makers to leverage of a culture change through adapted
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incentivization and regulation.'
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kind: bibo:AcademicArticle
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author:
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- pid: xyzrins:persons/michael-hanke
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given_name: Michael
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family_name: Hanke
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topic:
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- pid: xyzrins:topics/research-data-management
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display_label: Research data management (RDM)
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--- |