Christopher Erdmann is a community advocate, developer, and experimenter in the areas of Open Science and FAIR. Prior to joining the SciLifeLab Data Centre as the Head of Open Science, he was the Associate Director for Open Science at the Michael J. Fox Foundation where he drove open science strategies and workflows to support the Foundation’s policies. He has previously worked for organizations such as the American Geophysical Union, Renaissance Computing Institute at UNC, California Digital Library (The Carpentries), North Carolina State University, Harvard-Smithsonian Center for Astrophysics, European Southern Observatory, Supreme Court of the US, United Nations, University of Washington, Smithsonian, and CNET. Christopher holds an MLIS from the University of Washington iSchool and a BA from the University of California, Davis.
Short presentation of Sharing Rewards and Credit (SHARC) IG
SHARC is a recognised and endorsed interest group within RDA (Research Data Alliance). It is an interdisciplinary group seeking to unpack...
Lack of interoperability between tools/e-infrastructures presents a significant barrier to streamlining processes throughout the research lifecycle. These gaps prevent the comprehensive collection an...
Digital twins, customized simulation models pioneered in industry, are beginning to gain ground in medicine and healthcare, with some major successes in cardiovascular diagnostics and insulin pump con...
About
This group is aimed at collections professionals such as archivists, librarians, records managers and museum curators, as well as related professions such as IT professionals, knowledge scientis...
Welcome to the RDA Complex Citation Working Group
Purpose
This working group proposes to address the use case of citing a large number of existing objects (e.g., datasets, software, or physical samp...
The Computational Modelling of Health Data working group will focus on improving the reproducibility, transparency, and accessibility of computational models developed for health research. The working...
RDA Interest Group Charter
Name of Interest Group: Data Discovery Paradigms IG
Introduction:
The F.A.I.R. Principles, i.e. that data should be “Findable, Accessible, Interpretable and Reusable�...
The purpose of the Early Career and Engagement Interest Group (ECEIG) is to provide a focal point for Early and Mid-Career Researchers and Professionals, including those involved in various RDA-relate...
The context of increasing volumes of data being created by researchers and the strengthening of requirements for research data management and data sharing has created demand for a new and evolving set...
Enabling FAIR Data in the Earth, Space, and Environmental Sciences
Open, accessible, and high-quality data and related data products and software are critical to the integrity of published research. ...
