Bauer et al. (2023): “When the Poorest Are Neglected”. SSRN Working Paper 4503209.

A collaborative research platform for aligning, enriching and exploring resources on natural language texts

RKI Metadata Exchange | REST-API backend application for ingesting data from ETL-pipelines, enriching data from an editor application or collecting data for publishing purposes.

REANA: Reusable research data analysis platform

This repository contains the software we used to extract, transform and load (ETL) data into the platform kg.odissei.nl. If you are mainly interested in the resulting data, feel free to ignore this repository and go to this platform directly.

Fairspace provides a secure environment for managing research data.

Bauer et al. (2023): “Winter is Coming”. PLoS ONE 18 (11), e0294572.

API and metadata documentation for researchdata.se

A Python package to inspect formal quality problems in research data.

Main landing page for getting information about the Poseidon project

Omnipy is a high level Python library for type-driven data wrangling and scalable workflow orchestration (under development)

Repo hosting the FAIRtracks landing page.

RKI Metadata Exchange | API and GUI micro service for distributing metadata items before it gets picked up by ETL-pipelines for further processing.

RKI Metadata Exchange | Collection of ETL-pipelines to get metadata from various sources, transform it into a common format and load it into configurable sinks.

RKI Metadata Exchange | Software development toolkit for the MEx project that contains utilities for building pipelines and services, including shared code for logging, configuration and data models.

B2SHARE software for the EUDAT CDI services.

RKI Metadata Exchange | Metadata model in JSON schema format to facilitate interoperability and formalize the technical implementation in MEx applications.

The Pythonic client for the re3data API.

Source code for the CERN Open Data portal

Use this app to create a library of research papers! Download CSV files from https://core.ac.uk, combine them into one, and convert them into a visually appealing, Excel-friendly format.