Knowledgebase and repository · FAIRsharing · for any subject
Scientific Data Repository
any kind of data
This project is the first to combine the notion of a data repository with real-time visual analytics for interactive data mining and exploratory analysis on the web. This large comprehensive collection of data is useful for making significant research findings as well as benchmark data sets for a wide variety of applications and domains and includes relational, attributed, heterogeneous, streaming, spatial, and time series data as well as non-relational machine learning data. All data sets are easily downloaded into a standard consistent format. We also have built a multi-level interactive visual analytics engine that allows users to visualize and interactively explore the data in a free-flowing manner.
- Website
- Record in FAIRsharing (doi:10.25504/FAIRsharing.242443)
- Subjects: Data Integration, Data Mining, Subject Agnostic, data visualization
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: Data Integration; Data Mining; Subject Agnostic; data visualization
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: open
Data deposition: open
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 Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
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