https://github.com/kit-data-manager/data-collections-explorer
An information system focused on the engineering sciences
https://github.com/kit-data-manager/data-collections-explorer
fullstack
Last synced: about 1 year ago
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An information system focused on the engineering sciences
- Host: GitHub
- URL: https://github.com/kit-data-manager/data-collections-explorer
- Owner: kit-data-manager
- License: apache-2.0
- Created: 2022-10-07T14:53:46.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2025-01-20T17:14:16.000Z (over 1 year ago)
- Last Synced: 2025-04-12T13:20:58.396Z (about 1 year ago)
- Topics: fullstack
- Language: HTML
- Homepage: https://data-collections.nfdi4ing.de
- Size: 150 KB
- Stars: 1
- Watchers: 2
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Citation: CITATION.cff
- Codemeta: codemeta.json
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README
# Data Collections Explorer
Easy findability and accessibility are important for the efficient re-use of research data. The [Data Collections Explorer](https://rxp.datamanager.kit.edu) is an information system focussed on the engineering sciences. We want to help your search for subject specific repositories, archives, databases, and individually published datasets by answering these questions:
- Are there datasets available to support my research questions?
- Are there benchmarks available to check my results?
- Are datasets published Open Access?
- Where to publish my research datasets?
- Are there size limitations for datasets?
- Are there publication costs?
### Features
- Filtering for type of resource, subject area, Open Access
- Full-text search of the entries
- Constantly updated based on community feedback
## Getting Started
For local development, you need [RStudio](https://www.rstudio.com/) with the following packages installed:
- rmarkdown
- flexdashboard
- DT
- readr
These can be installed from within R as follows:
```
install.packages(c("rmarkdown", "flexdashboard", "DT", "readr"))
```
Docker is required If you want to serve a local instance of the Data Collections Explorer. Run the following
commands to set up the container:
```
# This builds the container and installs the required packages
docker build -t nfdi4ing-data-collections-explorer:v1 - < Dockerfile
# Start the container
docker compose up
```
Once the container is up and running, it can be accessed at `localhost:3838`.
The R Markdown document (index.Rmd) and the CSV table to be served are located in the `application` directory
outside the Docker container. When the Docker container is run for the first time, a directory `shiny-logs` is
created on the same level as the `application` directory.
## Contributions
Please make a pull request (or open an issue) if you miss a dataset, repository, database, or archive. Please provide the following
information:
- Host or hosting institution(s)
- Name of the dataset or service
- Subject Area(s)
- Open Access (yes|no|partially)
- API (yes|no)
- Publication cost
- Dataset size limits
- URL
- (Optional) Comment
Thank you!
## Further Information
[re3data](https://www.re3data.org) provides an overview of quality controlled repositories.
## Acknowledgements
This work is being supported by [NFDI4ING](https://nfdi4ing.de) (DFG project number 442146713).