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Taverna Workflow System
Taverna is an open source and domain-independent Workflow Management System – a suite of tools used to design and execute scientific workflows and aid in-silico...-
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Data Science Ethics
This course provides a framework to analyze ethics concerns related data science. Learn how to think through the ethics surrounding privacy, data sharing, and algorithmic...-
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RDM @ KIT
Wir unterstützen Sie in allen Phasen des Forschungsdatenmanagements. Das KIT betrachtet den Aufbau von Strukturen zur dauerhaften Bereitstellung qualitätsgesicherter...-
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Private Forschungsdaten-Thüringen
Thüringer Kompetenznetzwerks Forschungsdatenmanagement (TKFDM). Das TFKDM ist Ansprechpartner für Forschende aller Thüringer Hochschulen im Bereich Forschungsdatenmanagement.... -
RDM horror stories
The EPFL Library Team has prepared a 5-episode series about Research Data Management (RDM) horror stories for the occasion of Love Data Week 2020 (10-14 February 2020). The 5...-
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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... -
forschungsdaten.info
Forschungsdaten.info is the German-language information portal on research data management (FDM). The site introduces research data management with practical articles. It... -
pyDataverse
The Dataverse Project is an open source web application to share, preserve, cite, explore, and analyze research data. PyDataverse is a Python module for Dataverse. It helps to... -
The DART Project. Using data management plans as a research tool
The DART project was a three-year National Leadership Grant for Libraries Demonstration Project to facilitate a multi-university study of faculty data management plans (DMPs).... -
Data Management Plan for projects at the University of Vienna
A template for data management (DMP) plans for projects at the University of Vienna.-
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How to FAIR
A Danish website to guide researchers on making research data more FAIR. The website explains what the FAIR principles are, why they are relevant and how to make data more... -
DataONE Data Management Skillbuilding Hub
The Data Management Skillbuilding Hub is a repository for open educational resources regarding data management, meaning that it is a collection of learning resources freely... -
Practical Data Management video tutorials
The University Library of the University of California, Santa Cruz, has prepared a series of video tutorials covering several aspects of RDM and different phases of the...-
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Data Management Plan - Eine Anleitung zur Erstellung von Data Management Plaenen
This document is an introduction to writing DMPs including their purpose and goals. The material also covers a checklist for writing DMPs as well as an exemplary DMP.-
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Generalist Repository Comparison Chart
The General Repository Comparison Chart and FAIRsharing Collection is a tool researchers could use to make decisions about selecting a generic or domain agnostic repository.... -
DMP Use Case Project Collection
University of Vienna (Open Aire NOAD Austria) has made a collection of H2020 public DMPs available via the Phaidra repository. The content of the DMPs have not been quality... -
Lawful basis interactive tool
ICO (Information Commissioner's Office) has produced a lawful basis interactive tool to give tailored guidance on which lawful basis is likely to be most appropriate for your...-
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Open Science primers - A Research Data Management Handbook
The OpenAire Open Science primers introduce different topics related to Open Science. In the RDM Handbook, different topics are covered to explain how data management is...-
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