Ga naar de startpagina
Zoek leermateriaalKennis & expertiseCommunities
NL|EN
Privacy policyDeelnemende instellingen
Creative CommonsCreative Commons AttributionSURFFunded by the European Union

Filteren

Zoekresultaten (86)

…

HBO/WO

MBO

10 augustus 2023

Research Data Management: Storage

Research data storage at EUR Erasmus University Rotterdam provides its faculty and staff with a safe, easy and secure way to save and store data on institutional storage. Always use a cloud service provided by EUR – rather than public ones such as Dropbox. Suggested.

Website

Erasmus University Library

23 augustus 2023

Interactive session: Consumer Issues - Filter Bubbles, Data Storage, AI monitoring, fair practices

Understand the implications of filter bubbles on consumer access to information. Explore the ethical considerations surrounding data storage and privacy. Discuss the impact of AI monitoring and fair practices on consumer rights.

Website

HCAIM Consortium

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

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

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

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

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: Citing data

Citing data In this module we'll explain why and how to cite datasets. Once you've establised a link between your publication and the underlying data anyone reading the publication will be able to find the dataset. Also, anyone looking at your data is able to find your publication. How to cite data So which elements are essential for other people to identify and retrieve your data? Sometimes additional elements may be requested, but be sure to include at least the following items. Digital Object Identifier (DOI) A DOI is a digital identifier of an object. It enables an object to be identified and found on the Internet. The metadata of the object are stored together with the DOI and includes information about where the object is located on the Internet. If the object is moved to a new location, the metadata can be updated with the new URL of the object. A DOI therefore provides a more long-lasting and reliable reference for finding an online publication than a URL. Related.

Website

Erasmus University Library

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