Repository · FAIRsharing
Pacific Northwest National Laboratory DataHub: Scientific Data Repository (PNNL DataHub)
SpectraCrystal structuresBioassays and chemical biologyMaterials and polymersImages and microscopy
Sharing and preserving data are central to protecting the integrity of science. DataHub, a Research Computing endeavor, provides tools and services to meet scientific data challenges at Pacific Northwest National Laboratory (PNNL). DataHub helps researchers address the full data life cycle for their institutional projects and provides a path to creating findable, accessible, interoperable, and reusable (FAIR) data products. Policies and procedures governing laboratory data are critical to the integrity of our research. Equally important are the data management systems, which is why our researchers access the PACIFICA and DataHub systems that enable secure and quick access to research data. Our unique Living Laboratory is an information instrument enabling real-time, in situ studies of PNNL itself as a microcosm of the real world, securely providing researchers novel information about PNNL’s campus operations, thus facilitating research on complex systems. The material provided here is based upon internal project work supported under the U.S. Department of Energy (DOE), Office of Science (SC), Office of Biological and Environmental Research (BER), in promoting the efficient delivery of scientific discoveries and effective use of government resources. Acknowledgements of Federal Support: All cases of data reuse and citation should adhere to guidance provided by the Office of Science of the U.S. Department of Energy and/or provided
- Website
- Record in FAIRsharing (doi:10.25504/FAIRsharing.45bf5b)
- Subjects: Applied Mathematics, Artificial Intelligence, Atmospheric Science, Bioengineering, Biomedical Science, Comparative Genomics, Computer Science, Data Mining, Data Protection, Database Management, Earth Science, Ecosystem Science, Environmental Science, Functional Genomics, Genomics, Geoinformatics, Health Science, Hydrography, Life Science, Materials Science, Metabolomics, Metagenomics, Metaproteomics, Metatranscriptomics, Occupational Medicine, Omics, Phenomics, Phylogenomics, Proteogenomics, Proteomics, Soil Science, Surface Science, Systems Biology, Toxicology, Transcriptomics
What is known per question
The questions of the decision tree, with what FAIRsharing says about this repository. ✓ supported, ✗ excluded, ? not known. Your own answers are marked.
What kind of data do you want to archive?
- ✓ Spectra
- ✓ Crystal structures
- ? Computational chemistry
- ? Catalysis
- ? Compounds and reactions
- ✓ Bioassays and chemical biology
- ✓ Materials and polymers
- ✓ Images and microscopy
- ? Something else
Subjects: Applied Mathematics; Artificial Intelligence; Atmospheric Science; Bioengineering; Biomedical Science; Comparative Genomics; Computer Science; Data Mining; Data Protection; Database Management; Earth Science; Ecosystem Science; Environmental Science; Functional Genomics; Genomics; Geoinformatics; Health Science; Hydrography; Life Science; Materials Science; Metabolomics; Metagenomics; Metaproteomics; Metatranscriptomics; Occupational Medicine; Omics; Phenomics; Phylogenomics; Proteogenomics; Proteomics; Soil Science; Surface Science; Systems Biology; Toxicology; Transcriptomics
Domains: Bioimaging; Data acquisition; Data analysis; Experimental measurement; Mass spectrum; Resource metadata; X-ray crystallography 3D molecular structure determination assay; X-ray diffraction; electron microscopy; mass spectrometry assay; microbe-host interaction phenotype; microscopy; spectroscopy
Does the journal or publisher you publish with require or recommend a repository?
- ? Yes
- ? No
- ? I do not know
FAIRsharing has no information on this.
Which discipline does your data belong to?
FAIRsharing has no information on this.
Which publisher?
FAIRsharing has no information on this.
Does your funder have requirements for where data is archived?
- ? Yes
- ? No
- ? I do not know
FAIRsharing has no information on this.
Which funder?
FAIRsharing has no information on this.
Does your institution offer a data repository?
- ? Yes
- ? No
- ? I do not know
FAIRsharing has no information on this.
Which institution?
FAIRsharing has no information on this.
Can your data be shared openly?
- ✗ Yes, openly available
- ? Yes, after an embargo
- ✓ Only with restrictions
Data access: controlled: AzureAD, DOE OneID, or ORCiD Authentication
Data deposition: controlled: Azure AD, DOE OneID, or ORCiD Authentication
How large is your dataset?
- ? Less than 1 GB
- ? 1 GB to 50 GB
- ? 50 GB to 1 TB
- ? More than 1 TB
FAIRsharing has no information on this.
Why can the data not be open?
- ? It contains personal data
- ? Commercial or intellectual property reasons
- ? Safety or security concerns
- ? A data sharing agreement limits it
FAIRsharing has no information on this.
Under which license do you want to share the data?
- ✓ CC0 / public domain
- ? CC BY
- ? Another open license
- ? Not decided yet
Licences: Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication; Pacifica Data Asset Management Software (CC BY-NC 4.0); PNNL Privacy & Security Policy
Do you need a persistent identifier, such as a DOI, for citing the data?
- ? Yes, a DOI
- ? Any persistent identifier will do
- ? No
FAIRsharing has no information on this.
Must the data be stored in a specific region?
- ✗ In the European Union
- ? In a specific country
- ✓ No preference
Country: United States
Must archiving be free of charge?
- ? Yes, free only
- ? A fee is fine
FAIRsharing has no information on this.
Which country?
✓ 1 of 15 in the list ✗ excludes 14
Country: United States