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.

The Open Research Calendar (@openresearchcal) is a community tool that aims to collate worldwide open research events into one database. This increases the visibility of these events and it provides an overview that individuals can easily navigate to select events that they wish to attend. The events are visible through a Google Calendar, which can be synced into a person’s own personal calendar. Anyone can contribute to the Open Research Calendar by entering information about events in a Google form. The added event will then be added to the calendar and promoted through Twitter. We also welcome contributions to the technical development of the Calendar: The code and documentation for the Calendar are available on GitHub (GNU 3.0 licence, allowing groups to recreate the automation and communication features for their own communities). You can also request an Open Research Calendar sticker!

The RIOT science club started as a grassroots initiative in response to the credibility revolution. Current barriers include the publish or perish culture, but also the lack of training in how to do open research.

The R.I.O.T. Science Club is a scientific community providing training in Reproducible, Interpretable, Open, and Transparent Science, components for good research. We aim to give the training researchers need, make researchers think about open research, and to bring a behavioural and cultural change: from publish or perish to an open research framework. The R.I.O.T. Science Club is currently present at several sites: King’s College London, Imperial, Exeter, St. Thomas Hospital, Wolverhampton and Rotterdam (Erasmus MC). The Rotterdam R.I.O.T.S. collaborate with the Open Science Community Rotterdam at Erasmus University Rotterdam and the R.I.O.T.S. collaborates with the UK Reproducibility Network (UKRN).

The Open Science Commuity Eindhoven (OSC/e) and Data Management and Library conducted a survey to better understand the needs of researchers, students and academic staff. A renewed focus on reproducible and transparent research practices is emerging and has gathered support from national and European funding bodies and from a wide range of scientific fields. This has implications for how researchers conduct and communicate their research, but are these implications clear to them? Do researchers consider open research practices important? Do they regard them as best practice? And do researchers receive the required support and training to be able to conduct and share research transparently and reproducibly? With this survey, we aimed to gather representative data from TU/e employees and students to get insight into these and related matters.

Copyright photo: Bart van Overbeeke Photography

The Amsterdam Science Park Study Group is directed towards building up a community of computational biologists and bioinformaticians. Our team focuses on helping to solve data analysis problems, sharing best data and code practices, and developing transferable professional skills. Our team promotes diversity and talent development among board members thereby offering young researchers a safe environment in which to collaborate with others. Our team is physically location at the Faculty of Sciences at the University of Amsterdam. Contact details: m.galland@uva.nl

DANS is the Dutch national centre of expertise and repository for research data. We help researchers make their data available for reuse. This allows researchers to use the data for new research and makes published research verifiable and reproducible. Deposit and search for data.

OpenAIRE is a Horizon 2020 project that supports the European Commission's Open Science policy with various services, including: Amnesia, a data anonymization tool, and Argos, an online Data Management Plan Tool. In addition, OpenAIRE provides access to 48 million open access scientific publications and 5 million open datasets. In the Netherlands, NARCIS is the source for scholarly publications and datasets for OpenAIRE.

OpenAIRE is also a network of 34 experts on open science in every European country. These National Open Access Desks (NOADs) are in contact with the Open Science community in their country. Delft University of Technology and DANS (Data Archiving and Networked Services) were together the NOADs for the Netherlands for the last 7 years. DANS will be after February 2021 the sole Dutch NOAD. In addition, DANS has been leading the Taskforce Research Data Management in Europe.

OpenAIRE continues as Legal Entity in 2021. Do you want to join OpenAIRE, please contact us at the OSF!

Contact details:
Just de Leeuwe, Library TU/Delft: J.deLeeuwe@tudelft.nl
Ellen Leenarts, DANS: Ellen.Leenarts@dans.knaw.nl
Elly Dijk, DANS: Elly.Dijk@dans.knaw.nl

A grassroots journal provides a clearly superior, more informative review than traditional journals offer. It thus already provides a useful function while traditional journals still exist, while aiming to make them superfluous by making it irrelevant where an article is published.

The National Coordination Point Research Data Management (LCRDM) is the Dutch network of research data management (RDM) experts. The LCRDM connects policy and daily practice. LCRDM is networking for Open Science. Within LCRDM, experts work together in task groups to put RDM topics on the agenda that require a joint national approach. (see for task groups outputs: https://www.lcrdm.nl/en/rdm-advice-tips)

Our contribution to the Open Science Festival is the DO I-PASS FOR FAIR self assessment, a result of one of the LCRDM Task Groups: https://www.lcrdm.nl/files/lcrdm/2020-11/Do-IPASS-for-FAIR.pdf

The 15 FAIR data principles are intended to be applied to a dataset, but the acronym FAIR is also used as an adjective for other (digital) matters, such as FAIR data stewardship, FAIR data infrastructure and FAIR data services. Moreover, in the context of Open Science and scientific integrity, more and more Dutch universities and research organizations discuss a FAIR organization as an important goal, thus implementing RDM practices and support with the FAIR principles as a main driver. Triggered by this use of the acronym FAIR for organizations, a LCRDM task group explored the definition, characteristics and principles of a so-called ‘FAIR enabling organization’. The task group delivered a self-assessment tool to evaluate the FAIR-ness of a research organization (research institute, university or university of applied sciences). It is a simple instrument, presented in an editable PDF form. By answering the questions and evaluating the level (beginner, intermediate, or advanced) at which you assess the performance of your organization, you will be able to define the actual FAIR-ness. In addition you can define a Road Map to become a FAIR Enabling Research Organization using the information in de more advances level(s).

For more information, please contact Margriet Miedema, LCRDM
info@lcrdm.nl
M 06 10 60 62 07

We are Data Sharing.
We are Open Access.
We are Reproducibility.
We are for Students from Students.
We are Open Science.

The Open Science movement arose due to questionable research practices that resulted in the replication crisis. However, we as students felt largely left out of the discussion. Most Open Science initiatives target researchers, and as a result, knowledge about the Open Science movement does not reach a broad population of students. Due to this, we started SIOS, a student initiative to promote open and transparent science. Our initiative brings Open Science practices closer to the students. We think it is important to strongly emphasize the students’ perspective and the applicability of Open Science to their lives. To achieve this, we organize lectures, debates, and workshops to show students how to apply open science practices to their work, such as Pre-registration and Open Data within their academic work. After all, we will be the next generation of scientists and we have a responsibility to shape this future.

sios.information@gmail.com

Openjournals is a professional open access publishing platform for scholarly journals. We provide the infrastructure to publish in open access, managed in-house by the KNAW Humanities Cluster, a non-profit scientific organisation.
Openjournals is designed for all journals that are scholarly, (striving to be) peer-reviewed and operate with a sustainable open access publication model.
Language of publication, readership, university affiliation or publisher are not an obstacle to publishing through Openjournals. Our only requirement is a non-APC publication model, meaning that the journal will not charge authors for publishing in open access. Member journals pay a fixed annual contribution to publish their copy in open access without any obligations or creative control.

Contact us for a demonstration of the platform or to see what openjournals can do for your journal. Visit us at www.openjournals.nl, mail to info@openjournals.com or check us out on twitter at @openjournalsnl

The LCRDM report Research software sustainability in the Netherlands: Current practices and recommendations sets forth the conditions, best practices and recommendations among researchers in the Netherlands with regard to the development of open science practices for open and sustainable research software. The findings are based on 37 interviews with researchers and research software engineers experienced in the field of software development as well as an exploratory review of existing (inter)national initiatives. Topics that are addressed include the use of repositories and archives, version control, licenses, required skills and the motivations and barriers underlying the development of software that is suited for reuse.

The report can be found on the website of LCRDM after it is published, early February 2021. www.lcrdm.nl

For more information, please contact Saskia van Eeuwijk, SURF
E Saskia.vanEeuwijk@surf.nl
M 06 28 57 81 12

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.

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.