Workshop: FAIR in (biological) practice
Webinar: Introduction to Research Metadata and the GHGA Metadata Model
Webinar: FAIR in Biomedical Research
Webinar: Standardization of NGS Analysis Workflows
Webinar: Benchmarking of NGS Analysis Workflows
Webinar: 1001 Reasons for a Data Management Plan
26 Sep 2024
How do we ensure FAIR Data Practices and how do we navigate data portals? These and many more questions on FAIR data and data portals, will be answered in our next GHGA Webinar.
In the first part, we will start with an exploration of the fundamentals of data and metadata, and delve into the concept of FAIR (Findable, Accessible, Interoperable, Reusable) data and why it is important. We also cover metadata models and how to make them.
The second part will then focus on data portals: What portals are out there? How to tell if they are FAIR? How do portals make data accessible? And why is there a need for a portal like GHGA?
19 Oct 2023
This webinar on “Introduction to DSW & RDMKit”provides an overview of these tools and their features. The webinar starts with an introduction to data stewardship, emphasising its importance in scientific research. It will then moves on to a discussion of the Data Stewardship Wizard and how it can help researchers with their data management tasks. This webinar was presented by Daniel Wibberg and Helena Schnitzer from Elixir Germany for de.NBI.
06 Jul 2023
Data Management Plans (DMPs) are an essential component of research projects, providing a structured framework to ensure that data is adequately documented, organised, shared, and preserved throughout the research lifecycle. In this webinar, we provide an introduction to data management plans, discussing key aspects of effective data management and how to develop a comprehensive data management plan.
This webinar was presented by Daniel Wibberg and Helena Schnitzer, Training Coordinators from Elixir Germany for de.NBI.
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20 Jun 2023
Standardization of workflows in bioinformatics is crucial for ensuring accuracy, reproducibility, and comparability of results across different platforms and workflows. With the rapid advancement of Next-Generation Sequencing (NGS) technologies and the increasing complexity of data analysis, it is becoming increasingly challenging to harmonize and integrate data from different sources.
This is the second part in our NGS workflows miniseries covering the benchmarking of workflows and demonstrate how to use public pipelines for optimized analyses using the Sarek pipeline as an example.
The speaker was Kübra Narcı, an expert from the GHGA workflows team.
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30 May 2023
Standardization of workflows in bioinformatics is crucial for ensuring accuracy, reproducibility, and comparability of results across different platforms and workflows. With the rapid advancement of Next-Generation Sequencing (NGS) technologies and the increasing complexity of data analysis, it is becoming increasingly challenging to harmonize and integrate data from different sources.
The speaker was Kübra Narcı, an expert from the GHGA workflows team who discuss edthe importance of standardization in NGS workflows, and provided practical tips and best practices for achieving harmonization across different platforms and workflows.
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16 Feb 2023
Biomedical research, like any academic discipline, can greatly benefit from the wealth of data that is available worldwide - but only if this data can be found, accessed, used and reproduced - hence if the data is FAIR.
In this webinar, we will give you an introduction to what FAIR data means in biomedical research and patient care, then dive deeper and specifically look at how imaging and OMICS data can be FAIR. In the second part of the seminar, we will highlight challenges in the field, such as why Metadata is not yet FAIR, how to choose the right model and the role of semantic web.
The seminar was given by GHGA experts Sven Nahnsen (Director of the Center of Quantitative Biology, University of Tübingen) and Sven Fillinger (Team Lead of IT Infrastructure and Scientific Software, University of Tübingen).
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13 Dec 2022
Metadata - everyone has heard the term, but what does it actually mean? And why are metadata important for research and data analysis? Answers to these questions will be given in the first part of this webinar. In the intro session we will also talk about the FAIR principles and why we need them, and give you some online resources to dive deeper into this topic.
The second part focuses on the GHGA metadata model that will be implemented for our services. We will explain what it contains (and what it doesn’t include) and how we arrived there - and what might change in the future.
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This virtual course was held from 30.05-02.06.2022 and was co-organised together with EMBL Bio-IT. It teaches the FAIR principles, what this means in practice and how they can be integrated into the daily workflow of biomedical researchers.