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per institute / Klik hier voor aanbod per instelling.
Essentials 4 Data Support by "Research Data Netherlands" ( rdnl ) is an introductory course for those people who (want to) support researchers in storing, managing, archiving and sharing their research data. You can still sign up for this year's second round (April/May).
De Essentials 4 Data Support -cursus van het samenwerkingsverband "Research Data Netherlands" ( rdnl ) is een introductiecursus voor diegenen die onderzoekers (willen) ondersteunen bij het opslaan, beheren, archiveren en delen van hun onderzoeksdata. Inschrijving voor de tweede ronde van dit jaar is nog mogelijk: Informatie en aanmelding.
Dutch Techcentre for Life Sciences (DTL) course overview lists of courses in the area of data and technologies for the life sciences.
The UKB's working group Research Data has created an overview of research data management course materials from universities across the country.
RDM Support of Utrecht University developed an online self-study course about research data management. It consists of 6 main modules about data collection, data documentation, data storage, data security, data selection and preservation and data availability for reuse. You can do the course any time, any place. You can do the whole course or just parts of it. The assignment throughout the course is to fill your own data management plan. At the end of each chapter you will be asked to log into DMPonline. With the content in this course, a participant should be able to apply the gained knowledge to their own research project.
CESSDA provides training on research data management, data curation, etc. in the social sciences. We focus on 'train the trainers' and reaching out directly to the researchers.
CESSDA stands for Consortium of European Social Science Data Archives and ERIC stands for European Research Infrastructure Consortium. CESSDA provides large-scale, integrated and sustainable data services to the social sciences.
Sharing their experience and skills of imparting Open Science principles, the authors produced an open knowledge and educational resource oriented to practical teaching. The focus of
the new handbook is
not spreading the ideas of Open Science, but showing how to spread these ideas most effectively
This course will provide learners with an introduction to research data management and sharing. After completing this course, learners will understand the diversity of data and their management needs across the research data lifecycle (...) This course was developed by the Curating Research Assets and Data Using Lifecycle Education (CRADLE) Project in collaboration with EDINA at the University of Edinburgh.
DCC is a well-established training provider in digital curation and research data management.
The Digital Curation Centre (DCC) is an internationally-recognised centre of expertise in digital curation with a focus on building capability and skills for research data management. The DCC provides expert advice and practical help to research organisations wanting to store, manage, protect and share digital research data.
They provide access to a range of resources including our popular How-to Guides, case studies and online services. The training programmes aim to equip researchers and data custodians with the skills they need to manage and share data effectively.
DCC also provides consultancy and support with issues such as policy development and data management planning.
Since mid-2011 they have worked closely with research organisations to provide tailored support for service development, from making the case for research data management through the assessment of needs to the design and implementation of policy, support, infrastructure and services.
The EUDAT Training programme is a training and education service for European research communities, infrastructures and data centres on how EUDAT services support and facilitate research data management. European researchers can also benefit from the training programme by understanding how EUDAT services can play a role in their daily work. The programme is also designed for “new comers” to the research data management field that need and want to build their competences in research data management from scratch.
The FOSTER portal is an e-learning platform that brings together the best training resources addressed to those who need to know more about Open Science, or need to develop strategies and skills for implementing Open Science practices in their daily workflows. The FOSTER Plus project (Fostering the practical implementation of Open Science in Horizon 2020 and beyond) is a 2-year, EU-funded project, carried out by 11 partners across 6 countries.
"This course combines online video lessons and hands-on workshops throughout the semester. The Data Management Course was (...) designed for graduate students currently enrolled at the UMN. The training modules are freely available for anyone to view and download."
University of Minnesota
MANTRA is a free online course for those who manage digital data as part of their research project. It has been crafted for the use of post-graduate students, early career researchers, and also information professionals. It is freely available on the web for anyone to explore on their own.
University of Edinburgh
UK Data Service's training materials have been designed and used as part of daily work for years in supporting ESRC applicants and award holders, and been brought to fruition in a handbook published by SAGE Publications Ltd. in March 2014. The new SAGE handbook,
Managing and Sharing Research Data: a guide to good practice, contains chapters that are modularised with explanatory text, exercises, quizzes and answers. They are primarily geared towards social scientists, but are easily adaptable to other disciplines and countries by adding relevant exemplars.
The UK Data Service is funded by the Economic and Social Research Council (ESRC) to meet the data needs of researchers, students and teachers from all sectors, including academia, central and local government, charities and foundations, independent research centres, think tanks, and business consultants and the commercial sector. The UK Data Service collection includes major UK government-sponsored surveys, cross-national surveys, longitudinal studies, UK census data, international aggregate, business data, and qualitative data.
Based on the Software Carpentry strategy of collaborative development of hands-on, interactive lessons for workshops, we facilitate and develop the lessons for
Data Carpentry workshops.
"(...) students will be provided industry-leading methodological tools in order to carry out these tasks, particularly in social media environments. In addition, traditional approaches to content analyses will be covered as foundational material to blend quantitative and qualitative as well as human and computer-assisted approaches. In conjunction with real-world and practical modules, this course opens doors for students to apply innovative and groundbreaking analytic techniques that can contribute to shaping the future directions of media research."
Erasmus Universiteit Rotterdam
"De student is na afloop van de cursus vertrouwd met de basistechnieken die beschikbaar zijn voor digitalisering van erfgoed. De student begrijpt de werking van bestaande automatiseringstechnieken voor het aanbrengen van metadata op gedigitaliseerd erfgoedmateriaal, en kent de heersende discussies op het gebied van digitale duurzaamheid en de toegankelijkheid van en rechten op digitaal erfgoed. De student is in staat de opgedane kennis toe te passen op situaties in de professionele praktijk die het hele spectrum van eerste digitalisering tot een virtueel museum kunnen omvatten."
"Deze introducerende cursus Digital Humanities heeft drie leerlijnen met bijpassende toetsvormen.
De eerste leerlijn heeft tot doel de breedte van de Digital Humanities wereldwijd te laten zien. In hoorcolleges wordt de geschiedenis van de mondiale Digital Humanities belicht, om daar cruciale keerpunten en ontwikkelen in te leren kennen. (...) De tweede leerlijn biedt een ‘survivor’s guide to computer science’, de eerste stap richting digitale zelfredzaamheid. De achterliggende technologie van de in het hoorcollege geschetste ontwikkelingen wordt in computerpractica belicht en zelf geoefend. (...)"
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