The open source hardware building session aims to give researchers a hands on introduction to building hardware and operate it with appropriate programming. For science to be truly open every step in the process needs to be transparent. This is not possible without the hardware used being open source as well.
This session endeavours to provide a taste of what is possible along with resources and most importantly engagement with a community that is dedicated to open source hardware.
This is in some respects an experimental session as we are trying to conduct a hands on hardware session remotely for the first time. The material required to participate in the session will be mailed to you in advance of the event along with relevant information. During the online session we will build and operate the device, no other equipment other than the mailed components will be needed to participate in the event.
During a ReproHack, participants try to reproduce published research of their choice from a list of publications with open access data and code. Participants give feedback to the authors on a number of aspects including reproducibility, transparency and
reusability. It is a learning experience for the participants, who can apply what they learnt when publishing their own research, and for the authors of the papers who get their worK test-driven by other scientists. In this workshop you will make first steps towards organizing your own ReproHack (for your group, institute, faculty or university) and we will reproduce a paper in a live-coding session to get a feel for what it is all about.
Open science requires researchers to be open and transparent in sharing their methods, analyses and raw and published data, so these can be reused, verified or reproduced by a wider audience. In many domains, research software (including code, scripts, tools, algorithms) often is an integral part of the methodological process, so there is a need for guidelines on making these open as well. The Netherlands eScience Center and DANS launched a website (fair-software.nl) with 5 practical recommendations that help researchers to make their software FAIR (Findable, Accessible, Interoperable, Reusable). The website serves as a signpost for researchers to get actionable advice on how to get started with this. It is endorsed by several national and international organizations, including NWO. In this session, we present the recommendations and help participants make their own code more FAIR. We introduce practical ways to get started, and have a few exercises to familiarize with the tools presented.
Open Science provides others the opportunity to enrich the academic world. Opening up your research can benefit you and others in many different ways. As part of Open Science, Open Education offers new possibilities to share your research output to young researchers. This session will focus on Open Education for researchers that are involved in teaching. Often you can use your own results and publications in your teaching materials and enrich the materials with open available resources. You might want to spark your students differently, use high-quality materials from your peers or provide background information. In this conversation we will discuss and explore the process of finding Open Educational Resources and discuss how to adapt these into your own teaching materials.
All organisers are members of the Editorial Adivisory Board for the OA books Toolkit. OAPEN is the hosting organisation of the OA Books Toolkit.
The goal of this session is to introduce the recently developed Open Access Books Toolkit and test the toolkit with attending researchers and gather feedback. We hope to learn to what extent the toolkit answers to the needs of researchers and to find potential areas for improvement. At the same time, we hope to help researchers understand the process and benefits of publishing OA books, and facilitate the workflow (e.g. availability of funds, access to policy information), and support uptake (e.g. finding an OA book publisher).
In this interactive session we’ll take you through a time-reversed tour of the data life cycle. Starting with the archiving and publication of FAIR and open data, we’ll move back to data sharing, data analysis & cleansing, data capture to, eventually, data management planning at the start of a project. At every step we’ll ask you to identify bottlenecks and challenges as well as share best practices, guidance and solutions.
By working our way backwards, we start with the desired end-state and then review, step by step, what should have been done in the previous step to enable a good outcome. We also explore existing solutions and developments that could contribute to improving these steps.
In the current system of scholarly publishing, there is no widely-used system for post-publication review and qualifications in place, meaning that at present classification of scientific results is binary, absolute, and permanent. In the transition to Open Science, peer review should become a more democratic and transparent process that values the diverse roles researchers play in their communities. We propose a simple platform where researchers can review scientific works on several dimensions (soundness of methodology, impact on the field, etc) in a graded fashion.
In this session, we invite the Festival attendees to give their input and formulate their wishes for such a platform. In a structured brainstorm session, we will discuss the requirements for the platform and how to efficiently embed it in the publishing system.
Citizen Science is a growing field of collaborations between professional scientists, societal organizations and the public to generate new knowledge together. In order to enable valuable results for science, participants and society, it is important to determine what successful citizen science looks like and how it can be fostered. In this session, we will discuss a proposed framework of success factors for citizen science and put it into practice by co-creating citizen science according to this framework.
In this session we will highlight how data pre-processing influences the outcomes of statistical tests and how researchers can guard against its effects. After a short introduction, participants will systematically explore the effect data pre-processing can have via a custom-made Shiny App. Secondly, participants will be exposed to on-going research highlighted the effects of data pre-processing. They will be presented with multiple solutions to guard against bias introduced by unavoidable decision-making, which will be partially based on the outcomes of our earlier Festival session in November. Finally, participants will have the opportunity to ask questions and discuss among another.
Gateway to Open Science Training (G2OS) is a collaborative effort of Dutch universities to compile a comprehensive modular training program for Open Science skills and knowledge. In this session, we will present an overview of current Open Science trainings available at universities, institutes and communities, over a broad range of Open Science topics. You will get a sneak peak into a section of these trainings to get a taste of what G2OS can do for you. Moreover, we want to give you the opportunity to identify additional topics and formats you would like to see in G2OS in the future.
This session will explore strategies for engaging with various audiences and stakeholdergroups. How to communicate with them on your scientific goal, project and outcomes? In small groups one researcher will describe their own research, and participants together will define potential target audience(s) and brainstorm ideas to reach that audience. They will also share open science practices relevant for the type of research being discussed. Participants will be challenged to think from the perspective of a specific target audience (e.g. school children, farmers, members of parliament, journalists, commercial companies) and reflect on open science practices that can help to increase involvement of that audience with research.
In this session you will learn about persistent identifiers (PIDs), and how they align with the FAIR principles. We will provide an overview of how PIDs can be implemented to enable open science practices across the research ecosystem. Some examples from the ORCID-NL consortium will be showcased. The second half of the session will be dedicated to a pubquiz about PIDs.
Preregistration is a useful tool for limiting “researcher degrees of freedom”, thereby preventing overfitting in the statistical analysis of randomized experiments. However, research conducted outside of this classical paradigm may also benefit from preregistration. In this session, we aim to work together with the entire group to formulate some principles for preregistration of data science studies. Ultimately these principles should form the basis for a new template useful for anybody doing a data science study who thinks preregistration might be helpful.