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Computer science is a key component for data science applications and research data management as methods and procedures rely on it. For instance, to enable fast access to information, data sets must be stored efficiently in data structures. Clever modelling and algorithmic processing hereby guarantee a fast search and selection of information of even big data sets. This course will provide insights into computer science basics and gives an overview about relevant topics for data science.

"The Collaborations Workshops series brings together researchers, developers, innovators, managers, funders, publishers, policy makers, leaders and educators to explore best practices and the future of research software."We are delighted that you would like to attend the one-day symposium Qualitative Open Science: Challenges, Opportunities, Tensions, and Synergies funded by Open Science NL."

Join us for an insightful webinar on the Economic Impact of Open Science, part of the PathOS training series.

This session will delve into how Open Science fosters economic growth and innovation, particularly within the life sciences sector. Featuring experts Lena Tsipouri (OPIX) and Despoina Sousoni (ELIXIR), we will explore key findings from a scoping review and dive into a detailed case study on the use of open bioinformatics resources by industry, highlighting their role in driving innovation and economic benefits. The webinar will conclude with a discussion on future research directions and policy implications, offering recommendations for leveraging Open Science to amplify economic impacts.

Engage with our experts during the live Q&A session to uncover how open practices can catalyze significant economic transformations across industries.

This year’s GW4 Open Research Week is taking place from 31 March 2025 – 4 April 2025 and will be led by the University of Bath. The week will celebrate the broad range of practices which make research more accessible, transparent, reproducible and visible.

The theme for this year is ‘Open Research: Open Culture’, with a series of events taking place across the week. All events are open to all GW4 academics, staff and researchers and are designed to showcase the benefits of open research, and ways to adopt open research practices across GW4.

In order to analyze, store, or publish digital research data, powerful software tools or even custom-made software are required. However, it is often quite challenging when the different tools are not interoperable or the overall workflows are not fully digitized, as this results in time-consuming processes with limited opportunities of collaboration. Therefore, a key objective should be to make data processing more efficient and to automate workflows. And this is where the tinkering begins!

The course exposes participants to recent developments in the field of machine learning (ML) and discusses their ramifications for business and economics. ML comprises theories, concepts, and algorithms to extract patterns from observational data. The prevalence of data (“big data”) has led to a surge in the interest in ML to leverage existing data assets for improved decision-making and business process optimization. Concepts such as business analytics, data science, and artificial intelligence are omnipresent in decision-makers’ mindset and ground, to a large extent, on ML. Familiarizing course participants with these concepts and enabling them to apply cutting-edge ML algorithms to real-world decision problems in management, policy development, and research is the overarching objective of the course. 

ReproducibiliTea is a journal club initiative that has resulted in journal clubs about open science and replicability in academic departments all over the world (see https://reproducibilitea.org/ for more history and information). IGDORE is now proud to announce our own ReproducibiliTea journal club fully online, allowing people to join from wherever they happen to be in the world!

This journal club is suited for beginners to open science. To fully understand what the open science movement is built upon, we will cover important basic concepts and discuss the most seminal works. Each session will be based on an article which all participants read in advance. Depending on the session topic, other resources such as Youtube videos or optional reading may be provided to facilitate the discussions. These will always be optional; you are never expected to prepare more than reading the session article.

Everyone is welcome – from student to Nobel Prize laureate; from intern to CEO. No prior knowledge is required to participate, but the article discussions will probably be more valuable to you if you have a university-level understanding of quantitative and/or qualitative research methodology

Research information – data on research outputs and activities – is omnipresent in everyday research, be it bibliographic metadata on publications and other research results, data on funding and projects or information on research institutions and researchers themselves. However, research information is often not freely accessible and usable. Research information is often collected by commercial providers and made available to the scientific community itself in return for payment, as in the case of the Web of Science and Scopus platforms. At the same time, while many research institutions produce vast research information, there is still potential in making this research information better accessible, or making basic information on their research activities freely accessible in the first place. And as research information is indispensable and crucial for strategic decisions, the allocation of resources, research evaluation and recruitment – in short, essential for research assessment –, the openness of such information is of decisive relevance. Open research information is therefore another important building block of open science practices and in the reform of research assessment as well as for academic sovereignty. The Barcelona Declaration on Open Research Information published in April 2024 therefore aims to make open research information the norm.

UM is on a mission to become a leading example in the Open Science movement, which aims to make research papers, data, methods, etc. open to anyone so we can all benefit. The FAIR principles go hand-in-hand with Open Science and they form a great guide to make sure that the research you make Open, can actually be used. With the FAIR Coffee lecture series, the Open Science Community of UM, in collaboration with the Community for Data-Driven Initiatives (CDDI), will help you find out more about these topics and discover how your colleagues have applied Open Science and FAIR principles to their research. These lectures are a perfect chance to dip your toes in the FAIR water and find inspiration in the work of others! Coffee/tea and cookies will be waiting for you!

Programming is the essential tool for managing data sets and conducting data science methods. Handling huge data sets manually is impossible, so we can only prepare, curate, analyze and evaluate them by programmable means. In addition, programming is crucial for documenting, creating graphical output, and presenting results (e.g., on the web). In order to write programs, we need to a programming language – but what is that?

How can social scientists design and focus their research to ensure they can answer questions using existing data? How do researchers find relevant data for a specific project? In this webinar, three research fellows working on the Infra4NextGen project will share their experience in navigating the wealth of publicly available survey data.

Lonni Besançon, Assistant Professor of Visualization at Linköping University, talks about self correcting in science.

Featuring Vincent Traag (CWTS) and Petros Stavropoulos (ARC), this session will explore the causal perspective on Open Science impacts, focusing on academic, societal, and economic effects. The webinar will cover the handbook’s role in operationalizing indicators and addressing causal inference challenges. Additionally, it will provide an overview of tools and data for measuring Open Science impact, including metrics like citations, data usage, and cost savings. Future directions for the Handbook and its policy implications will also be discussed, with opportunities for community contributions.

This session will cover why it’s useful to use surveys for impact evaluation, when you shouldn’t use surveys for evaluation, how to develop a “good” survey question and response options, avoiding common pitfalls in survey design, using open-ended questions in your survey, using online surveys and pilot testing your survey. The presentation will last around 35 minutes and there will be additional time for questions at the end. 

Research funders expect you to demonstrate impact of your research. Research councils and Research England require you to provide evidence of this through Researchfish and the Research Excellence Framework (REF). For REF impact case studies, we need to be able to provide a strong narrative and robust evidence of the impacts claimed. This workshop will help you to develop a plan for evaluating the impact from your own research.

Kommunikation ist das A und O, wenn es darum geht, das Bewusstsein für die Open-Science-Bewegung und ihre Ziele zu verbreiten. In diesem Meet-up wird Emilia Mikautsch, Kommunikationsspezialistin im Team Open Science der Universität Konstanz, über ihre Erfahrungen mit Kommunikationsmaßnahmen zu Open Science an der Universität Konstanz (und darüber hinaus) berichten. Im Anschluss an den Vortrag freuen uns darauf, auf Ihre Fragen einzugehen und uns über Ihre Erfahrungen mit der Kommunikation von Open Science auszutauschen. Jeder ist eingeladen - eine Anmeldung ist nicht erforderlich.

Der Grundlagenworkshop zur Entwicklung von OER-Material findet im Rahmen von zwei digitalen Sitzungen statt. Im ersten Teil dieser Veranstaltung (14.00 bis 16.00 Uhr) machen Sie sich mit den Merkmalen offener Bildungsmaterialien vertraut und reflektieren deren Chancen und Herausforderungen. Besonderes Augenmerk liegt auf dem Urheberrecht und der offenen Lizenzierung. In interaktiven Übungen erfahren Sie, wie Sie OER in Ihre Lehre einbinden können und was bei der Erstellung eigener OER zu beachten ist. Darüber hinaus lernen Sie die Funktionen des OER Portals www.twillo.de kennen.

OER Grundlagenworkshop & Q&A Session: Der Grundlagenworkshop zur Entwicklung von OER-Material findet im Rahmen von zwei digitalen Sitzungen statt. Im ersten Teil dieser Veranstaltung (14.00 Uhr bis 16.00 Uhr) machen Sie sich mit den Merkmalen offener Bildungsmaterialien vertraut und reflektieren deren Chancen und Herausforderungen. Besonderes Augenmerk liegt auf dem Urheberrecht und der offenen Lizenzierung. In interaktiven Übungen erfahren Sie, wie Sie OER in Ihre Lehre einbinden können und was bei der Erstellung eigener OER zu beachten ist. Darüber hinaus lernen Sie die Funktionen des OER Portals www.twillo.de kennen. bei dem zweiten Teil der Veranstaltung (16.30 Uhr bis 18.00 Uhr) handelt es sich um eine Q&A Session, in der Sie Ihre eigenen OER vorstellen und individuelle Fragen stellen können.