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Harvard Biomedical Data Management Class Materials
The Research Data Management Working Group of the Harvard Longwood Medical Area has published a series of training materials that have been used in training events, such as... -
Essentials 4 Data Support
Essentials 4 Data Support is an introductory course for those people who (want to) support researchers in storing, managing, archiving and sharing their research data....-
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Reproducible Research using Jupyter Notebooks
This course teaches how to increase the reproducibility in computational research using Jupyter. The course is aimed at graduate students, postdocs, and other researchers who...-
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Private RDM eLearning course
Within the framework of the Danish National Forum for Data Management, the Danish Universities have developed the eLearning course “Research Data Management”. The course is... -
Bringing data to life - Data management for the biomolecular sciences
This course is aimed at biological researchers who are working with, or managing data and those who need to create data management plans. No prior knowledge of bioinformatics...-
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Data Organization in Spreadsheets for Ecologists
Good data organization is the foundation of any research project. Most researchers have data in spreadsheets, so it’s the place that many research projects start. We organize...-
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Helis Academy FAIR data stewardship course
The third edition of the Helis Academy FAIR data stewardship course was organized online in March 2021. The course introduced the trainees to important concepts of data...-
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RDM essentials - O Essencial da Gestão de Dados de Investigação
This course is primarily directed to doctoral researchers, to provide them with the basic knowledge and competences to manage the data they will generate during their...-
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Introduction to bioinformatics
This course is an introduction to bioinformatics (and data science) for biology and biomedical students. It introduces bioinformatics methodology and technologies without... -
MANTRA Research Data Management Training
MANTRA is a free, online non-assessed course with guidelines to help you understand and reflect on how to manage the digital data you collect throughout your research. It has...-
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Manage, improve and open up your research and data
This PARTHENOS training module looks at emerging trends and best practice in data management, quality assessment and IPR issues. In the course, participants will look at...-
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FAIR Data and Software: A Carpentries-based workshop at TIB, Hannover
This workshop aimed to train junior scientists in implementing the FAIR principles for research data & software management & development. Designed to help researchers...-
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Tutorials for Federated IT Services
We provide tutorials to let you know how to best make use of our services and how to boost your research software engineering practices.-
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Intermediate Course: Advanced HPC and Data Management topics
The Steinbuch Centre for Computing is hosting the course: "Advanced High Performance Computing (HPC) and Data Management topics" on October 27, 2021. This course is aimed at...-
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MIT File organization and version control handouts
The Massachusetts Institute of Technology (MIT) has developed a series of file organization handouts: - Naming and organizing your files and folders worksheet - Documenting...-
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RIOT Science Club
The RIOT Science Club is a seminar series that raises awareness and provides training in Reproducible, Interpretable, Open & Transparent science practices. All...-
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FAIR data training
A collection of resources about the FAIR data principles that can be used to design and run training. Includes links to guidelines, tools, webinars or additional training...-
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Research data management (RDM) open training materials - Zenodo community
A Zenodo community where openly accessible online training materials which can be shared and repurposed for RDM training. All contributions in any language are welcome. The...-
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The Turing Way
The Turing Way is an open source community-driven guide to reproducible, ethical, inclusive and collaborative data science. Their goal is to provide all the information that... -
Preparing tabular data for description and archiving
These are general guidelines for preparing tabular data for inclusion in a repository or for sharing it with other researchers, in order to maximize the likelihood of...-
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