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HBO/WO

MBO

2025

Skills for Changemakers

Lessons learnt from 4 years implementing skills learning trajectories in BSc Programmes at the WUR

Document

Julia Postulka

2023

Guideline Skills Learning trajectories

This guideline provides an overview of the 16 Coreskills that are defined to enhance skills education at the WUR in BSc programmes. It is a practical guide, outlining steps for implementation.

Document

Julia Postulka

2023

[Asset-H] Methodological toolkit for Humanities teachers: Skills research

The ASSET-H team has conducted research to chart the perceptions of the skills of Humanities students at three European universities. In this toolkit, you will find information on the several steps you need to undertake to replicate the study at other institutions, both for Humanities students or non-Humanities students. These steps are: (1) define the relevant skills statements, (2) develop and conduct a survey and (3) conduct exploratory factor analyses. For those who need detailed information, we have added a reference at the end.

Website

Jiske Angenent

September 28, 2023

Training Business Literature Research

This training is focused on expanding information literacy skills in doing business literature research. Students will learn how and where to search strategically for business information.

UASDocument

Evalien Langhorst, Sebas Beckeringh, Gerda van Ballegooijen, Mariska Joan Schouten

November 1, 2022

Research design canvas

With the research design canvas, students and researchers can formulate their research step by step. With the canvas the most important steps in the design cycle are followed and the choices made can be examined in connection to each other. This enhances the quality of the research proposal and the research process. The phrasing on the canvas has been adjusted to research on the intersection between social sciences and humanities. The canvas is suitable for use by student in university bachelor year 3 and later.

Document

Anja Visser

August 10, 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

August 10, 2023

Research Data Management

Overview: Research Data Management In this guide you will learn how to: manage your data, deal with sensitive data, anonymize data, preserve and archive data. Books about data management. Audience Master students, research master students and PhD candidates.

Website

Erasmus University Library

August 10, 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

August 10, 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

August 10, 2023

Research Data Management: Open Data

What is Open Data? Open Data is data that anyone can access, use and share. Open Data challenges intelligent and creative minds to provide societal value. Open Data applications allow us to make better use of existing resources and create new products and services. Open Data is also one of the cornerstones of Open Science, a concept central to science practitioners and policy makers of today, promoting (re)use of research data and results amongst scientists, the business community and society as a whole. Open Data and academic research In academia, Open Data are used in humanities and cultural heritage research communities (e.g. Journal of Open Humanities Data (JOHD), Europeana); Open Data are also common in the life sciences (e.g. Elixer) and in economics (e.g. World Bank). Some open datasets can be useful to explore societally relevant questions relevant to current policy debates and topics of interest to specific demographics. Open Data is also important for educational purposes (e.g., see Bishop & Kuula-Luumi, 2017). Open Data applications Open Data helps to create (new) value for societies, citizens and businesses. There are now several examples of successful startups with innovative applications of Open Data. Appealing examples are available in health, transport, energy and the environmental sector (see ODINE for examples). I want to work with Open Data. Where to start, who to contact? A good starting point for information and inspiration on “all things” Open Data is the Open Data Handbook. This online handbook provides case studies, learning resources and networked information on Open Data. Related. Support.

Website

Erasmus University Library