Training materials

The learning materials listed on this webpage are a sample of learning materials, which we consider representative to showcase the usage of the FAIR4S framework. The sample is drawn from recent training events and includes various formats. Please note that this list is not actively maintained. Therefore, the referenced contents may already be outdated.

Title	Author	Date	Imparted skills	Provider	URL
Framework for Responsible Innovation		2014	Creative problem solving, flexibility Engaging in open innovation beyond academia Secure funding for open science /support Engaging with research users and stakeholders	FOSTER
Designing Successful Open Access and Open Data Policies: Intermediate		4.2016	Data quality assurance using open standards Assess FAIRness and check policy compliance Apply policies to comply legal requirements, ethical & FAIR principles Research integrity, attribution, impact awareness	FOSTER
Designing Successful Open Access and Open Data Policies: Introductory		4.2016	Data quality assurance using open standards Assess FAIRness and check policy compliance Apply policies to comply legal requirements, ethical & FAIR principles Research integrity, attribution, impact awareness	FOSTER
Academic Information Seeking			Reuse data from existing sources Recognise, cite and acknowledge contributions Develop open research strategy and vision Set up and document workflows Searching repositories and scientific databases Documentation for public use, lay understanding Evaluation of repository and publishing platforms Vocabulary/ ontology application	Coursera
Advanced R Programming			Model data structures and define database needs Software prototyping Creative problem solving, flexibility Data transformation and integration Data mining, querying, interpretation Prepare and document for FAIR outputs	Coursera
Data citation		19.01.2017	Plan stewardship and sharing of FAIR outputs Data quality assurance using open standards Recognise, cite and acknowledge contributions Research integrity, attribution, impact awareness	Australian National Data Service (ANDS)
Artificial Neural Networks		15.08.2018	Software prototyping Use or develop open research tools/services Creative problem solving, flexibility Math and statistical knowledge application Machine learning methods Visualisation and presentation of results	CODATA School 2018
Parallel programming with OpenMP and MPI		30.08.2018	Critical thinking and theory building Creative problem solving, flexibility	GridKa School 2018
Introduction to Go		20.08.2018	Software prototyping Critical thinking and theory building Data transformation and integration	GridKa School 2018
Docker Container Hands-On		17.08.2018	Plan stewardship and sharing of FAIR outputs Analyse requirements for services or software Set up and document workflows File naming and organisation Data transformation and integration Prepare and document for FAIR outputs Software review and preservation Access control and management Publish FAIR outputs on recommended repositories Searching repositories and scientific databases Information security and risk management Storage security management Workflow set-up and provenance information mgmt Cloud environment and storage management	GridKa School 2018
Collaborative Software Development		29.08.2018	Software prototyping Set up and document workflows File naming and organisation Data cleaning, processing and software versioning Critical thinking and theory building Use or develop open research tools/services Prepare and document for FAIR outputs Software review and preservation Documentation for public use, lay understanding Open access publishing and self-archiving Publish FAIR outputs on recommended repositories Engaging with research users and stakeholders	GridKa School 2018
Julia: high performance programming the easy way		28.08.2018	Software prototyping Critical thinking and theory building Creative problem solving, flexibility Use or develop open research tools/services Visualisation and presentation of results	GridKa School 2018
Introduction to Python		27.08.2018	Software prototyping Critical thinking and theory building Data transformation and integration Visualisation and presentation of results Use or develop open research tools/services	GridKa School 2018
Introduction to the SciPy stack and Jupyter Notebooks		28.08.2018	Software prototyping Reuse data from existing sources Math and statistical knowledge application Creative problem solving, flexibility Data transformation and integration Predictive modelling and analytics Visualisation and presentation of results Use or develop open research tools/services	GridKa School 2018
Machine Learning with Neural Networks		24.08.2018	Software prototyping Reuse data from existing sources Math and statistical knowledge application Critical thinking and theory building Creative problem solving, flexibility Data mining, querying, interpretation Predictive modelling and analytics Machine learning methods Use or develop open research tools/services	GridKa School 2018
Productive GPU Programming with OpenACC		30.08.2018	Model data structures and define database needs Software prototyping Critical thinking and theory building Creative problem solving, flexibility	GridKa School 2018
How to search for relevant information on the internet and in library resources		03.12.2018	Reuse data from existing sources Recognise, cite and acknowledge contributions Evaluation of repository and publishing platforms Searching repositories and scientific databases	University of Amsterdam
FAIR data		10.08.2018	Specifying metadata and persistent id. standards Data quality assurance using open standards Assess FAIRness and check policy compliance Publish FAIR outputs on recommended repositories Metadata and persistent id. exposure Apply policies to comply legal requirements, ethical & FAIR principles	CODATA School 2018
Introduction to Research Data Management and Data Management Plans		15.08.2018	Plan stewardship and sharing of FAIR outputs Specifying metadata and persistent id. standards File naming and organisation Prepare and document for FAIR outputs Data quality assurance using open standards Publish FAIR outputs on recommended repositories Open access publishing and self-archiving Documentation for public use, lay understanding Metadata and persistent id. exposure Apply policies to comply legal requirements, ethical & FAIR principles	The CODATA-RDA Research Data Science Summer School 2018
Managing and Sharing Research Data		10.08.2018	Specifying metadata and persistent id. standards Appraise and select repositories for FAIR sharing Set up and document workflows File naming and organisation Use or develop open research tools/services Prepare and document for FAIR outputs Data quality assurance using open standards Data transfer and long-term storage Format and media migration Publish FAIR outputs on recommended repositories Documentation for public use, lay understanding Metadata and persistent id. exposure Evaluation of repository and publishing platforms Vocabulary/ ontology application	CODATA Shool 2018
Databases for large-scale science		30.08.2018	Plan stewardship and sharing of FAIR outputs Model data structures and define database needs Appraise and select repositories for FAIR sharing Manage databases Software prototyping Reuse data from existing sources Data mining, querying, interpretation Information security and risk management Use or develop open research tools/services	GridKa School 2018
Under the hood: Bare Metal Embedded Programming in C		19.08.2018	Model data structures and define database needs Analyse requirements for services or software Software prototyping File naming and organisation Critical thinking and theory building Creative problem solving, flexibility Use or develop open research tools/services Data transformation and integration Information security and risk management Storage security management	GridKa School 2018
Scalable Scientific Analysis in Python using Pandas and Dask		29.08.2018	Software prototyping Reuse data from existing sources Math and statistical knowledge application Critical thinking and theory building Creative problem solving, flexibility Data transformation and integration Data mining, querying, interpretation Predictive modelling and analytics Visualisation and presentation of results Use or develop open research tools/services	GridKa School 2018
Scalable and reproducible workflows with Pachyderm		28.08.2018	Plan stewardship and sharing of FAIR outputs Set up and document workflows Data cleaning, processing and software versioning Data transformation and integration Prepare and document for FAIR outputs Workflow set-up and provenance information mgmt Use or develop open research tools/services	GridKa School 2018
Recommender Systems			Software prototyping Math and statistical knowledge application Reuse data from existing sources Visualisation and presentation of results Data cleaning, processing and software versioning Use or develop open research tools/services	CODATA School 2018
Information Security		12.08.2018	Access control and management Information security and risk management Authentication and authorisation (AAI) management Apply policies to comply legal requirements, ethical & FAIR principles	CODATA School 2018
Behind the scenes perspective: into the abyss of profiling for performance		29.08.2018	Analyse requirements for services or software Software prototyping Reuse data from existing sources Math and statistical knowledge application Critical thinking and theory building Creative problem solving, flexibility Data transformation and integration	GridKa School 2018
Introduction to using HTCondor to run distributed compute Jobs and Workflows on Servers, Clusters, Grids, or Clouds		29.08.2018	Specifying metadata and persistent id. standards Analyse requirements for services or software Set up and document workflows File naming and organisation Metadata and persistent id. exposure Information security and risk management Storage security management Workflow set-up and provenance information mgmt	GridKa School 2018
BabelNet Extractor Tutorial			Use or develop open research tools/services	FOSTER
Data Protection and Ethics			Plan stewardship and sharing of FAIR outputs Data cleaning, processing and software versioning Use or develop open research tools/services Data quality assurance using open standards Data transfer and long-term storage Apply policies to comply legal requirements, ethical & FAIR principles Information security and risk management	FOSTER
Be Persuasive: Write a Convincing Position Paper or Policy Advice (Project-Centered Course)			Reuse data from existing sources Critical thinking and theory building Math and statistical knowledge application Data transformation and integration Publish FAIR outputs on recommended repositories Recognise, cite and acknowledge contributions Visualisation and presentation of results Searching repositories and scientific databases Research integrity, attribution, impact awareness	Coursera
How to wrap your Java NLP tool into a UIMA component			Analyse requirements for services or software Software prototyping Use or develop open research tools/services	FOSTER
Entrepreneurship Specialization			Ethical application of patents, licenses Engaging in open innovation beyond academia Secure funding for open science /support Engaging with research users and stakeholders	Coursera
Integrating Open Science in Information Literacy education			Reuse data from existing sources Training in open methods, services Contributing to education, professional development	FOSTER
Data Structures and Algorithms Specialization			Model data structures and define database needs Software prototyping Critical thinking and theory building Creative problem solving, flexibility Math and statistical knowledge application Reuse data from existing sources	Coursera
Global Financing Solutions (by EDHEC and Société Générale)			Secure funding for open science /support	Coursera
Relationship Management			Contributing to quality assessment or peer review Lead good practice by example Engaging with research users and stakeholders Contributing to education, professional development Building open inter-disciplinary collaborations	Coursera
How to get your article published			Plan stewardship and sharing of FAIR outputs Data quality assurance using open standards Open access publishing and self-archiving Recognise, cite and acknowledge contributions Visualisation and presentation of results Searching repositories and scientific databases Develop open research strategy and vision Contributing to quality assessment or peer review	Erasmus Graduate School of Social Sciences and the Humanities