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Zoekresultaten (211)

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HBO/WO

MBO

18 januari 2016

Masterclass 'Open data beleid in vogelvlucht' (Bètaversie)

Masterclass over Open Data gemaakt voor startende medewerkers informatiebeleid, studenten en stagiairs.

WoDocument

Pim Kantebeen

2020

MOOC on Open Spatial Data Infrastructure

Spatial Data Infrastructures (SDIs) have evolved from government-driven initiatives for data sharing among public authorities to important building blocks in the implantation of open data policies oriented towards users outside the public sector. With governments becoming more open and transparent, SDIs have also become more open so that also nongovernment data and actors are considered as a key to the performance of the infrastructure. This MOOC introduces participants to this holistic, multidisciplinary view on SDI in a series of 5 modules, each covering a different aspect of Open SDI and consisting of short video lectures, readings, assignments and quizzes for self-evaluation.

Video

Bastiaan van Loenen

1 januari 2019

Use Open Data in Teaching

Course on the use of open data in teaching (why and how); part of the Foster Open Science Training Courses

Website

FOSTER consortium

2016

Introduction Open Data Governance and Use

Open data is becoming ubiquitous and has enormous potential for creating value. Value can only be created if open data is used, and usage requires data governance. Data governance concerns the ability to collect, search, process, visualize and distribute data in such a way that it is fit for use. In the end, data governance should facilitate easy use, and in this way, help to create value from open data. To make students familiar with this topic, we selected some materials from the online course ‘Open Data Governance and Use’ offered by TU Delft. The selected materials concern: Introduction to the concept of Open Data Governance and Use and key characteristics. Challenges for Open Data Publication and Use. Analysis of the theoretical foundations in this field. . Attached is the syllabus of the course mentioned above as well as the link to all videos.

Video

Marijn Janssen, Anneke Zuijderwijk

10 augustus 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

2019

MOOC Open data, what is it and how can I benefit? Best practices for open data in Croatia

The course provides an overview of all aspects of open data: technical and non-technical. It describes the management of open data, shows the best practices for working with open data in Croatia and beyond, and enables understanding of all phases of the open data life cycle. It is intended for (1) users of open data, (2) providers of open data and decision-makers, (3) students and researchers, and (4) the general public interested in learning something new. This MOOC is designed as a self-paced asynchronous course without time limits; through materials and various activities (lessons, video-clips, conversations with stakeholders from Croatia, quizzes and interactive tasks), the participants take part in accordance with their time possibilities. It takes 10 to 20 hours of work to complete the course, depending on the scope of the chosen topics: for users or data providers. Upon completion of the course, it is possible to download a corresponding certificate of completed units for users and/or data providers. Access to the course is free, with prior simple registration. The course is published under the open license Creative Commons CC BY 4.0 and - in the spirit of openness promoted in the course - it can be reused, changed and adapted to one's own needs.

Video

Bastiaan van Loenen

2016

Challenges for open data publication and use

This resource concerns 2 web lectures for students and professionals focusing on challenges regarding the publication and use open data . Besides a link to the web lectures , also the transcripts are included. The learning objectives are that students are able to: a) Discuss and analyze challenges for open data publication and use b) to explain the implications of these challenges for implementing open data policies

Video

Marijn Janssen, Anneke Zuiderwijk

2016

Concepts: open governance, data collection and use

This web lecture concerns an introduction to the concepts of open governance, data collection and use . Also the transcript is attached.

Video

Marijn Janssen, Anneke Zuiderwijk

2 september 2025

Intro to Open Science

Created for the GSLS Master introduction Days 2025, Utrecht University. This lecture will introduce you to the principles and practices of Open Science, a global movement aimed at making scientific research more accessible, transparent, and collaborative. You will learn why open science matters for accelerating discoveries, improving research quality, and enhancing reproducibility. Key topics include open access publishing, open and FAIR data, preprints, open peer review, and sharing research tools and methods. The session will also cover practical tips on how you can integrate open science practices into your own research from the start of your graduate journey. By embracing open science, you contribute to a more inclusive and impactful scientific community.

Presentatie

Annetrude de Mooij-van Malsen

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