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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... -
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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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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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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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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UC1 Guidelines for researchers: Defining Procedures and Services to enforce d...
This document is structured as a guide for end-users around two demonstrators coming from two scientific communities: Materials Science/Nanoscience and Climate Science. The...-
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Applied machine learning algorithms (AMALEA)-video series
The classic methods of machine learning have existed for over 50 years, but they still play an important role for certain problems today. This video gives an overview of three...-
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Introduction to Galaxy Analyses
Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research...-
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dastools SW package
This package provides a set of tools to read, manipulate and convert seismic waveforms generated by DAS systems. In particular, the ones saved in TDMs format: - dasconv: This...-
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EOSC Pillar F2DS
Federated FAIR Data Space is a metadata repository that aggregates and enriches datasets from a set of multidisciplinary repositories, i.e. data sources, with the aim to...-
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Code repository for standard Dataselect-WS from new non-standard bigdatasets ...
This document presents the repository of reference including different services and tools to provide new seismological data types in standard formats. An analysis of the...-
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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...