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HBO/WO

MBO

2 maart 2024

Data management

Introductie op research data management, met onder meer aandacht voor Open Science, FAIR data management, een aantal praktische tips en persoonlijke data. De slides zijn voorzien van het UvA-logo, en een aantal slides hebben betrekking op de lokale situatie van de UvA.

Presentatie

Casper Fermin, Joost Oosterhuis, Ira Lenters

2024

Workshop Data Management: an introduction

This workshop will discuss the following topics: What is Research data management The importance of Research data management RDM and the Research data life cycle – Break-out Data management plan and its content

Presentatie

Alie Mud

2023

Data Management Planning [june 2023]

This presentation will introduce you to data management and data management planning, will tell about the importance of data management planning and also about the elements of a data management plan and DMP tools.

Presentatie

Alie Mud

15 mei 2025

Write Your DMP: online module materials

These are the raw materials used in the online training module "Write Your DMP" created within Utrecht University's Moodle platform, by Utrecht University's Research Data Management Support. This module was developed to help Utrecht University researchers to write their Data Management Plan. It is a self-paced module that takes about 1.5 hours to complete. The module is structured as follows: 0: Introduction 1: Prepare: data collection, data reuse, data documentation and metadata 2: Handle: data privacy, security, ownership and storage 3: Share: data preservation, data sharing, FAIR data 4: Evaluation and glossary In the deposit, you can find the following files: The module content in the form of a storyboard per chapter in the online platform (WriteYourDMP_raw_materials_20250509.pdf) Self-created images used in the platform (materials_Ulearning.zip). A raw Moodle export of the module that can be imported in any other Moodle platform (backup-moodle2-course-1203-w_dmp_ub-20250515.mbz)

Document

Utrecht University Research Data Management Support

10 augustus 2023

Research Data Management: Research data management

Research data management Research data management (RDM) is an important topic with increasing relevance for academics. Due to recent examples of researchers committing fraud by falsifying or manipulating research data, this topic has attracted a lot of attention. These examples of fraud resulted in a Taskforce Scientific Integrity at the EUR, which recommended the introduction of research data management for researchers. For students, it has led to stricter supervision and attention to plagiarism. Benefits Basic elements of data management In each stage of the research life cycle different requirements are identified. Related. Suggested.

Website

Erasmus University Library

10 augustus 2023

Research Data Management: Personal data and anonymization

Personal data Many researchers process (collect/study/store/share) personal data when conducting their research. Anonymisation and pseudonymisation Applying anonymizing and pseudonymizing techniques is a measure you must take to protect the privacy of research respondents. Definitions Informing participants Another very important measure is to be transparent with your research participants about which personal data you plan to process (collect/study/store/share) for which reason and at what point you will anonymize the data. Related. Suggested.

Website

Erasmus University Library

20 januari 2020

Data Management for students

A basic course Research Data Management for students with tips and tricks on safe storage and versioning.

Website

University Library Nijmegen

1 augustus 2026

Introduction to data management as part of Open Science

Data management is part of the research cycle. It is crucial to think about it in the design phase of any experiment. This self-study module gives you hands on advice on what to do (and what NOT) with research data. It is not about (statistical) data analysis. This self-study module helps students get familiar with setting up their data management plan. As it’s an introduction to this topic, it is for students at beginner level. After completing this self-study module, you should be able to answer the following questions: What do I store? Where do I store? How can others understand what I stored? Why should I care?

Website

Susanne Kirchhoff

31 juli 2025

Introduction to Research Data Management

Introduction to Research Data Management Audience: Students Level: introduction

WoDocument

Lucy O Shea, Sam Larson, Agustin Medina, Jessica Hrudey

10 augustus 2023

Research Data Management: Data classification

Data classification While writing your dissertation you may (re)use existing data or create new data. These data sets may contain sensitive data. Sensitive data is frequently classified as: public, internal, confidential or secret. The data classification is important as it determines how you store, share and publish your data. Example of classification of sensitive data. Sharing data Sensitive data identifies individuals, species, objects or locations, and carries a risk of causing discrimination, harm or unwanted attention. Related.

Website

Erasmus University Library