Training@UFZ¶
The RDM Team offers training courses and workshops on research data management practice and infrastructures. Our continuing training opportunities are aimed at the researchers of the Helmholtz UFZ.
Most of our trainings are on demand. You can chose among several Available Trainings. Once the minimum number of participants is reached, we will plan the training together with the participants and the trainings will then be listed among Upcoming Trainings.
Available Trainings¶
2024: [Date: tba] - Your scientific (measurement-) data. Where to put it...FAIR? - Archiving and Publishing your Data
It’s becoming increasingly important to share scientific data to make science open and reproducible. In addition, primary data that led to a publication must be retained for 10 years. In this course, we will show you the basics for publishing your research data with some of UFZ-common repositories.
2024: [Date: tba] - Visualize your data in an interesting way and share it with others - Grafana Introduction Course
In this course, participants learn how to use Grafana. For this purpose, the possibilities of integrating different data sources are shown. They learn to create different dashboard panels and share them with other persons. With Grafana (an open source tool for the visualization of time series data) we have a tool at the UFZ to create a variety of dashboards for time series data. These could be displayed standalone or also integrated (in parts) on a project website. This workshop is intended to provide an introduction d a tutorial to using Grafana.
2024: [Date: tba] - Introduction to Research Data Management
Implementing good research data management (RDM) practices requires effort and time, but brings significant benefits, such as improved visibility and impact of your research, increased data quality and integrity, compliance with good research practice and data management policies. Understanding the basic principles and tools will help you integrate RDM more efficiently into your daily research workflows.
In this course we will focus on the basics of RDM. We will quickly cover the most important points without going into detail.
2024: [Date: tba] - Introduction to SaQC
Time series data, especially if provided by some sort of measuring device, usually contains faulty and abnormal values. Identifying and labelling those anomalies is both, a prerequisite for usable data and a tedious process. SaQC is an open source software tool providing all measures to drastically simplify the quality control process in a reproducible and transferable manner. SaQC is developed within context of the DataHub https://datahub.erde-und-umwelt.de/de/tools-and-services
2024: [Date: tba] - Introduction to Spatial Data Infrastructure (SDI)
Environmental Research produces an increasing amount of Geospatial Data. This leads to a demand of improved Data Management. In this course we will give you an introduction to the Spatial Data Infrastructure (SDI) of RDM. You will get an overview of the SDI, learn its benefits for you and how you can manage your Data with it.
2024: [Date: tba] - Tools for your daily RDM work - Introduction of tools for Research Data Management
Implementing good research data management (RDM) practices requires effort and time, but brings significant benefits, such as improved visibility and impact of your research, increased data quality and integrity, compliance with good research practice and data management policies. Understanding the basic principles and tools will help you integrate RDM more efficiently into your daily research workflows.
In this course we will present you the RDM tools and services we offer to researchers at UFZ. We will quickly run through the different tools and the basic usage.
2024: [Date: tba] - How to license your data? Legal aspects of Research Data Management
Implementing good research data management (RDM) practices requires some knowledge of legal aspects. In this course, we would like to help you understand the law in the context of RDM, especially data protection and copyright law. We will teach you other relevant standards: scientific ethics and good scientific practices (GSP / GWP). And we will help you establish legal certainty when publishing and archiving your research data.
2024: [Date: tba] - Keep track of your devices! Sensor Management System (SMS) Introduction Course
The purpose of this application SMS is to help scientists and technicans to manage sensors, measurement setups and campaigns. The application aims to handle all relevant informations about the entities, where the real data is managed in a separate time series management system. In this introductory course, you will learn about the most important functionalities of the SMS.
Upcoming Trainings¶
2024 May 30 - Open Microscopy Environment Remote Objects (OMERO) - A client-server software for managing, visualizing and analyzing microscopy images and associated metadata
Image storage, archiving and retrieval is of vital importance in today’s large scientific community. OMERO acts as a secure central repository for microscopy images and has many features and expansion points to integrate with your existing tools. OMERO is an open source client/server system written in Java for visualizing, managing, and annotating microscope images and metadata. The OMERO API allows clients to be written in Java, Python, C++ or MATLAB. The OMERO platform includes a Java client OMERO.insight, a Python-based web client OMERO.web, a Command Line Interface which uses Python, and a Java ImageJ plugin. OMERO also supports a scripting service which allows Python scripts to be run on the server and called from any of the other clients
2024 Jun 4 - Introduction to Research Data Management
Implementing good research data management (RDM) practices requires effort and time, but brings significant benefits, such as improved visibility and impact of your research, increased data quality and integrity, compliance with good research practice and data management policies. Understanding the basic principles and tools will help you integrate RDM more efficiently into your daily research workflows.
In this course we will focus on the basics of RDM. We will quickly cover the most important points without going into detail.
2024 Jun 19 and 20 - Basics of KNIME – Data wrangling and script integration
KNIME Analytics Platform provides the ideal environment for a team of scientists to build several large, automated workflows and visualizations in a user-friendly environment. KNIME is very easy to learn for beginners in programming and data science, it is an open source software, and it has a visual interface letting the user build analyses of any complexity level. Access, blend, analyze, and visualize data, without any coding, or integrate tools and libraries as needed. The present course will offer to the attendee the basic tools and knowledge to start using KNIME in their daily working routine. The course will introduce to the attendee the KNIME server at UFZ and show how it can be used to create user-friendly workflows.
2024 Aug 22 - Tools for your daily RDM work - Introduction of tools for Research Data Management
Implementing good research data management (RDM) practices requires effort and time, but brings significant benefits, such as improved visibility and impact of your research, increased data quality and integrity, compliance with good research practice and data management policies. Understanding the basic principles and tools will help you integrate RDM more efficiently into your daily research workflows.
In this course we will present you the RDM tools and services we offer to researchers at UFZ. We will quickly run through the different tools and the basic usage.
Past Trainings¶
2023 Nov 29 - Data and software publications for open science @ UFZ
Along with the Helmholtz Open Science Policy, several changes for research practice at UFZ will affect UFZ scientists. Open Science and its values of openness for a transparent and reproducible science motivate scientist to open up their research process. Data- and software publications become more prominent, meta data is key to describe research artefacts. After the course, the participants will have an understanding of some of the Open Science practices at UFZ and know how to deal with and submit data and software publications.
2023 Sep 21 - Introduction to Research Data Management
This course provides basic knowledge for the complementary hands-on courses on RDM tools. Implementing good research data management (RDM) practices requires effort and time, but brings significant benefits, such as improved visibility and impact of your research, increased data quality and integrity, compliance with good research practice and data management policies. Understanding the basic principles and tools will help you integrate RDM more efficiently into your daily research workflows.
2023 Sep 13 - Introduction to quality control of time series data with SaQC
This Course contents introduction to quality control of timeseries data and also an introduction to setup and usage of the quality control tool SaQC. Time series data, especially if provided by some sort of measuring device, usually contains faulty and abnormal values. Identifying and labelling those anomalies is both, a prerequisite for usable data and a tedious process. SaQC is an open source software tool providing all measures to drastically simplify the quality control process in a reproducible and transferable manner. SaQC is developed within context of the DataHub.
2023 Jul 07 - Archiving and Publishing Your Data@UFZ
It’s becoming increasingly important to share scientific data to make science open and reproducible. The course provides participants with applied knowledge for publishing and archiving scientific data. This includes topics such as metadata and the DOI workflow. The UFZ Archive System and the UFZ Data Management Portal (DMP) as well as PANGAEA will be presented
2023 Jun 01 - Foundations of Software Publication
Next to text publications data and software publications become increasingly important in the scientific community. A thoughtful approach towards research code publication increases software code’s visibility and reuse and helps others to sustainable use and cite your software. After the course participants know how to prepare their research code or statistical scripts before publishing it or submitting it alongside a research publication.
More Training and Information Contents¶
If you need further advice on other topics of research data management along the data life cycle or in relation to UFZ-specific research data software solutions, please do not hesitate to contact us.
In addition, you can find more workshops, courses and trainings at: