My research is about the interaction of (machine) representation and the impact on the success of data analysis (matchine learning, chemometrics, AI, etc). See the posts about molecular chemometrics. This got me into FAIR: making data interoperable and being able to (really) reuse data is the starting point of doing research.

Kevin Ashley’s (DCC director) closing remark at the IDCC (International Digital Curation Conference) 2024 meeting was “ Reflect, Enjoy, Do something! ”. Hopefully you will enjoy my doing something.

Marking the 10 ^th anniversary of the formulation of the FAIR principles, we have one of our GigaBlog Q&A’s with Peter-Bram ’t Hoen, Alain van Gool, Anna Niehues and Casper de Visser from the Netherlands X-omics Initiative and Radboud University Medical Center in Nijmegen, authors of a new paper on publishing FAIR workflows.

This paper got published in July already, but I had not had the time yet to blog about this exciting work by Irini Furxhi and Ammar Ammar: A data reusability assessment in the nanosafety domain based on the NSDRA framework followed by an exploratory quantitative structure activity relationships (QSAR) modeling targeting cellular viability (doi:10.1016/j.impact.2023.100475) The study has two sides to it: first, it looks into how far we

It was a year to remember, for more than one reason: 2022 marked the 10th anniversary of GigaScience ’s launch. The journal’s younger sibling GigaByte got an award and continued to innovate with living documents and its first trilingual article. And we published lots of memorable research, featuring, for example, a giant tortoise and 26 deadly snakes.

Zitierhinweis: Taubitz, Jan (2022) Entwicklung eines Open-Science-Indikators am Beispiel des FAIR Data Dashboards der Charité – Open Access Blog Berlin. DOI: https://doi.org/10.59350/nyts9-7q976 Dieser Beitrag zeigt am Beispiel des FAIR Data Dashboards der Charité — Universitätsmedizin Berlin, wie Open-Science-Indikatoren entstehen können.

As part of the FAIRsharing Community Network (see previous blog) and joint Force11 and Research Data Alliance (RDA) FAIRsharing Working Group we have been involved in efforts to develop a shared, cross-publisher list of recommended data deposition repositories. The first fruits of these are a preprint from the working group and DataCite (of which we are also members) summarising what we feel should be the key criteria for selection.

The 12th International Biocuration Conference was held in Cambridge, UK from April 7-10th 2019. As regular participants of the meeting you can read our write-ups of the meeting going back to 2012. This is a forum for biocurators and developers to discuss their work and to promote collaboration.

FAIRer Sharing via FAIRsharing Image from FAIRsharing.org. Our aim at GigaScience is to provide the means to open up and share research data. On top of just making these available via our (new look) GigaDB database, we’ve been involved with communities that wants to maximize the utility of these research outputs by making them FAIR: Findable, Accessible, Interoperable and Reusable.

Following FAIR principles is good for your colleagues, it’s good for the community, and it’s good for science. But what’s in it for the researcher, in return for committing to open science?