Research data are many and diverse. It can be experimental results (measurement data), information from the experimental conditions (e.g. environmental parameters), but also information from material or sample collections. It could be texts and information from surveys, or parameters from software and simulations. Research data are of utmost importance for our work. Here it is important that on the one hand their abundance is manageable, on the other hand that they meet sufficient (quality) standards.
The e!DAL electronic data archive library is a free (CC BY-ND 4.0) open-source software infrastructure developed by IPK Gatersleben to FAIRly maintain and publish in-house stored research data. This covers in particular cross-domain datasets that are not being published in central repositories because of its volume or unsupported data scope, like comprehensive image collections from plant phenotyping, genotyping data, or (custom made) software and documents. e!DAL supports requirements from funding agencies,journals and several metadata standards, like DublinCore or Schema.org and is accepted by BioSharing.org, re3data.org and OpenAIRE. More information and demonstration videos can be found here: http://edal.ipk-gatersleben.de/media.html
It provides a convenient submission tool with an embedded review process and login via ELIXIR AAI to publish research data as a DOI citable dataset. The Data Submission Tool to JPPC’s instance based on the e!DAL infrastructure is available as a stand-alone application for three different platforms:
- Windows: Link zur EXE-Datei
- Linux: Link zur sh-Datei
- MacOS: Link zur dmg-Datei
Note: Each download provides a ZIP archive containing one platform-specific file that must be unpacked before execution.
A short manual illustrating the Data Submission Tool and the subsequent reviewing process can be found here: http://edal-pgp.ipk-gatersleben.de/document/manual.html
e!DAL provides comprehensive reporting of key performance indicators such access counts, data download volume and client location. A detailed listing of all published datasets by JPPC’s repository based on e!DAL can be found here: https://edal.ibg.fz-juelich.de/report .