Your weekly sip of Open Science
In these times of working from home as much as possible, OSCU is hosting weekly online meet-up for OSCU members and others interested in Open Science: OSCoffee (Fridays 15.00-16.00). These meet-ups are geared to get to know and learn from each other. We are looking to attract a wide audience for the OSCoffees, in particular those who are relatively new to Open Science. So please spread the word and don’t hesitate to bring a friend!
You can find the schedule of the OSCoffees below.
To attend an OSCoffee, you need to join the ‘OSCoffee team’ on Microsoft Teams, using the the following instructions:
For UU employees: You can join via this link, or by selecting the ‘OSCoffee team’ from within Microsoft Teams (Teams > Create or Join Team, team-code: oy6g6h1).
For non-UU employees: Please send us an email at email@example.com, and we will add you to the team.
For upcoming OSCoffees, please help us to set the agenda! In this document, you can indicate which topics you would like to see addressed in future OSCoffees. In the same document, you can also express your interest to host an OSCoffee on a topic of your choice.
We hope to see you (online) soon!
OSCoffee #7 – May 29th 15.00-16.00
Registered Reports: The file drawer wars, episode III
Host: Esther Plomp (TUDelft), materials available here
Registered Reports are a publication format that prevents the publication bias of negative results and questionable research practises (such as low statistical power and selective reporting of results). In this session we’ll discuss if this format can be applied to your research and how you can get started. Also, this OSCoffee features two use-cases, by OSCU members Jonas Wachner and Anita Eerland, who will share their experience with Registered Reports. You can find more information here:https://cos.io/rr/
OSCoffee #8 – June 5th 15.00-16.00
Getting started with version control via GitHub
Host: Laura Dijkhuizen (Faculty of Science)
Are you working on scripts or code for data analyses, or any other kind of text for that matter, then you likely keep different versions of your files. Perhaps that looks like so: script_v1.R script_v2.R script_FINAL.R script_FINAL_FINAL.R etcetera… In all of these files, you may have lost when you changed what and above all why… Who really keeps a lab journal when they are writing code? If this sounds familiar, you may benefit from version control with Github, a system to keep track of changes and why they were made. In this session I will explain shortly what version control is, how it works, and get you started with GitHub.
OSCoffee #9 – June 12th 15.00-16.00
Open Post Academic Careers
Host: Lena Karvovskaya (VU Amsterdam)
In this session, we address career options for people who are interested in open science and consider a nonacademic career. We believe that open science values go way beyond the walls of the universities. Leaving academia doesn’t mean disconnecting from these values. There are many ways to enjoy science and to share experience and knowledge with other people. Lena Karvovskaya (VU Amsterdam library), Tess Korthout (The Hyve), and Mirjam Hachem (Body & Energy) will share their stories and the lessons they learned while doing a PhD and after. We will also share some resources for open scientists inside and outside of the ivory tower.
OSCoffee #1 – April 3rd 15.00-16.00
Using Gitbook for your course materials
Host: Caspar van Lissa (Faculty of Social Sciences), materials available here
Are you scrambling to transition your course to a digital format? Consider using a Gitbook for your course materials. You can update the contents at any time, allowing you to add tutorial instructions or correct mistakes while the course is ongoing, without requiring students to download it from Blackboard.
OSCoffee #2 – April 17th 15.00-16.00
Open Science in times of Corona: what YOU can do!
Host: Jeroen Sondervan (UU Open Science program), materials available here
The current crisis has brought about an unprecedented level of openness in scientific publishing and collaboration. At the same time, a great deal of relevant scientific information is still behind paywalls. What can the research community do to make relevant information publicly available?
OSCoffee #3 – April 24th 15.00-16.00
How to make your data FAIR?
Host: UU Research Data Management Support (Jacques Flores, Martine de Vos & Felix Weijdema), materials available here
The FAIR data principles are guiding principles on how to make data Findable, Accessible, Interoperable and Reusable. In this session, the principles are explained and translated into practical information for researchers. Background information and guidelines on FAIR data can be found here at the webpage of UU Research Data Management Support.
OSCoffee #4 – May 1st 15.00-16.00
FAIR and Open Software
Host: Anna-Lena Lamprecht (Faculty of Science), materials available here
You have probably heard about “FAIR data”. But what about the software that researchers use to work with data. Should it also be FAIR? Can it be FAIR? During this OSCoffee we will discuss similarities and differences of data and software, and some simple things that you can do to make your software FAIR(er).
OSCoffee #5 – May 8th 15.00-16.00
Open reference management, open access publishing, and data sharing
Host: Friedemann Polzin (Faculty of Law, Economics and Governance), materials available here
Managing the research and publication process openly is challenging mainly due to additional investments into personal infrastructure. In this edition of the OSCoffee I would like to share my experiences mainly with using open reference management, but also open access publishing and data sharing to make your open workflow more efficient.
OSCoffee #6 – May 15th 15.00-16.00
JASP: Open statistical software for education and research
Host: Herbert Hoijtink (Faculty of Social Sciences), materials available here
JASP is a free, open source software program to conduct both Frequentist and Bayesian statistical analyses. It is user-friendly, fast and versatile. Herbert Hoijtink will go through the basics, and make such a compelling case for JASP that you will never use SPSS, STATA or any other corporate statistical software ever again! P.s. the acronym stands for Jeffreys’s Amazing Statistics Program, in recognition of Bayesian pioneer Sir Harold Jeffreys.