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- Institutional Repository China (People's Republic of) Compatibility:Not yet registeredPartners:CASCASAll Research products
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re3data: r3d100011153
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re3data: r3d100013906
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re3data: r3d100011554
The Coherent X-ray Imaging Data Bank (CXIDB) offers scientists from all over the world a unique opportunity to access data from Coherent X-ray Imaging (CXI) experiments. It arose from the need to share the terabytes of data generated from X-ray free-electron laser experiments although it caters to all light sources. Accessibility is crucial not only to make efficient use of experimental facilities, but also to improve the reproducibility of results and enable new research based on previous experiments.
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re3data: r3d100014453
AnimalTFDB is a comprehensive animal transcription factor database. The resource is classification of transcription factors from 50 genomes from species including Homo sapiens and Caenorhabditis elegans. The database also has information on co-transcription factors and chromatin remodelling factors.
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re3data: r3d100012967
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re3data: r3d100013933
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For further information contact us at helpdesk@openaire.eu - Data Repository United States, Canada Compatibility:Not yet registeredPartners:UCSD, Fouad Lab, FAIR Data Informatics Laboratory, University of California System, University of Alberta Neurobiology, Biomedical Science, NeurologyUCSD,Fouad Lab,FAIR Data Informatics Laboratory,University of California System,University of Alberta
re3data: r3d100014071
The Open Data Commons for Spinal Cord Injury is a cloud-based community-driven repository to store, share, and publish spinal cord injury research data. There are several challenges for scientific reproducibility and bench-to-bedside translation. For example, only research and data that are published actually get disseminated, a phenomenon known as publication bias. Published research reflects to only a small fraction of all data collected, and data that do not lead to publication are largely ignored, hidden away in filing cabinets and hard drives. This results in an abundance of inaccessible scientific data known as “dark data”. Even when research is disseminated, it is usually in the form of summary reports of aggregated data (e.g. averages across individual subjects) such as scientific articles. The fact that the individual subject-level data are inaccessible further contributes to dark data. The spinal cord injury (SCI) community created the ODC-SCI to mitigate dark data in SCI research. The ODC-SCI also aims to increase transparency with individual-level data, enhance collaboration, facilitate advanced analytics, and conform to increasing mandates by funders and publishers to make data accessible. Members of the ODC-SCI have access to a private digital lab space managed by the PI or multi-PIs for dataset storage and sharing. The PIs can share their labs’ datasets with the registered members of the ODC-SCI community and make their datasets public and citable. The ODC-SCI implements stewardship principles that scientific data be made FAIR (Findable, Accessible, Interoperable and Reusable) and has been widely adopted by the international SCI research community.
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- Institutional Repository China (People's Republic of) Compatibility:Not yet registeredPartners:CASCASAll Research products
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re3data: r3d100011153
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re3data: r3d100013906
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re3data: r3d100011554
The Coherent X-ray Imaging Data Bank (CXIDB) offers scientists from all over the world a unique opportunity to access data from Coherent X-ray Imaging (CXI) experiments. It arose from the need to share the terabytes of data generated from X-ray free-electron laser experiments although it caters to all light sources. Accessibility is crucial not only to make efficient use of experimental facilities, but also to improve the reproducibility of results and enable new research based on previous experiments.
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AnimalTFDB is a comprehensive animal transcription factor database. The resource is classification of transcription factors from 50 genomes from species including Homo sapiens and Caenorhabditis elegans. The database also has information on co-transcription factors and chromatin remodelling factors.
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re3data: r3d100013933
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For further information contact us at helpdesk@openaire.eu - Data Repository United States, Canada Compatibility:Not yet registeredPartners:UCSD, Fouad Lab, FAIR Data Informatics Laboratory, University of California System, University of Alberta Neurobiology, Biomedical Science, NeurologyUCSD,Fouad Lab,FAIR Data Informatics Laboratory,University of California System,University of Alberta
re3data: r3d100014071
The Open Data Commons for Spinal Cord Injury is a cloud-based community-driven repository to store, share, and publish spinal cord injury research data. There are several challenges for scientific reproducibility and bench-to-bedside translation. For example, only research and data that are published actually get disseminated, a phenomenon known as publication bias. Published research reflects to only a small fraction of all data collected, and data that do not lead to publication are largely ignored, hidden away in filing cabinets and hard drives. This results in an abundance of inaccessible scientific data known as “dark data”. Even when research is disseminated, it is usually in the form of summary reports of aggregated data (e.g. averages across individual subjects) such as scientific articles. The fact that the individual subject-level data are inaccessible further contributes to dark data. The spinal cord injury (SCI) community created the ODC-SCI to mitigate dark data in SCI research. The ODC-SCI also aims to increase transparency with individual-level data, enhance collaboration, facilitate advanced analytics, and conform to increasing mandates by funders and publishers to make data accessible. Members of the ODC-SCI have access to a private digital lab space managed by the PI or multi-PIs for dataset storage and sharing. The PIs can share their labs’ datasets with the registered members of the ODC-SCI community and make their datasets public and citable. The ODC-SCI implements stewardship principles that scientific data be made FAIR (Findable, Accessible, Interoperable and Reusable) and has been widely adopted by the international SCI research community.
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