There is a scarcity of novel treatments to address many unmet medical needs. Industry and academia are finally coming to terms with the fact that the prevalent models and incentives for innovation in early stage drug discovery are failing to promote progress quickly enough. Here we will examine how an open model of precompetitive public–private research partnership is enabling efficient derisking and acceleration in the early stages of drug discovery, whilst also widening the range of communities participating in the process, such as patient and disease foundations.

OATP is a crowd-sourced social-tagging project running on free software to capture new developments on open access to research. Its mission is (1) to create real-time alerts for OA-related news and comment, and (2) to organize knowledge of the field, by tag or subtopic, for easy searching and sharing.

The open-access.net platform provides comprehensive information on the subject of Open Access (OA) and offers practical advice on its implementation. Developed collaboratively by the Freie Universität Berlin and the Universities of Goettingen, Konstanz, and Bielefeld, open-access.net first went online at the beginning of May 2007. The platform's target groups include all relevant stakeholders in the science sector, especially the scientists and scholars themselves, university and research institution managers, infrastructure service providers such as libraries and data centres, and funding agencies and policy makers. open-access.net provides easy, one-stop access to comprehensive information on OA.

Aspects covered include OA concepts, legal, organisational and technical frameworks, concrete implementation experiences, initiatives, services, service providers, and position papers. The target-group-oriented and discipline-specific presentation of the content enables users to access relevant themes quickly and efficiently. Moreover, the platform offers practical implementation advice and answers to fundamental questions regarding OA.
In collaboration with cooperation partners in Austria (the University of Vienna) and Switzerland (the University of Zurich), country-specific web pages for these two countries have been integrated into the platform - especially in the Legal Issues section.

Each year since 2007, the information platform has organised the "Open Access Days" at alternating venues in collaboration with local partners. This event is the key conference on OA and Open Science in the German-speaking area.

With funding from the Ministry of Science, Research and the Arts (MWK) of the State of Baden-Württemberg, the platform underwent a complete technical and substantive overhaul in 2015.

The increasing adoption of open science practices in the last decade has been changing the scientific landscape across fields. However, developmental science has been relatively slow in adopting open science practices. To address this issue, we followed the format of Crüwell et al., (2019) and created summaries and an annotated list of informative and actionable resources discussing ten topics in developmental science: Open science; Reproducibility and replication; Open data, materials and code; Open access; Preregistration; Registered reports; Replication; Incentives; Collaborative developmental science. This article offers researchers and students in developmental science a starting point for understanding how open science intersects with developmental science. After getting familiarized with this article, the developmental scientist should understand the core tenets of open and reproducible developmental science, and feel motivated to start applying open science practices in their workflow.

This resource was developed by a working group from the Iowa Open Education Action Team (Iowa OER). Our team built upon DOERS3's OER in Tenure & Promotion Matrix to help faculty and staff advocate for the inclusion of open educational practices (OEP) in promotion, tenure, and faculty evaluation practices at their institutions. Below, you can find our main document, directions for interacting with the text, and handouts you can use or adapt for your own advocacy work.

Lesson on OpenRefine for social scientists. A part of the data workflow is preparing the data for analysis. Some of this involves data cleaning, where errors in the data are identifed and corrected or formatting made consistent. This step must be taken with the same care and attention to reproducibility as the analysis. OpenRefine (formerly Google Refine) is a powerful free and open source tool for working with messy data: cleaning it and transforming it from one format into another. This lesson will teach you to use OpenRefine to effectively clean and format data and automatically track any changes that you make. Many people comment that this tool saves them literally months of work trying to make these edits by hand.

Topics covered:

Understanding reproducible research
Setting up a reproducible project
Understanding power
Preregistering your study
Keeping track of things
Containing bias
Sharing your work

Open science reduces waste and accelerates the discovery of knowledge, solutions, and cures for the world's most pressing needs. Shifting research culture toward greater openness, transparency, and reproducibility is challenging, but there are incremental steps at every stage of the research lifecycle that can improve rigor and reduce waste. Visit cos.io to learn more.

In her talk, Professor Vazire covers the role of open practices in allowing science to work the way it was intended to work—through self correction. By being able to “look under the hood,” we are able to evaluate scientific claims in the way that they should be.

About This Document: This manual was assembled and is being updated by Professor Benjamin Le (@benjaminle), who is on the faculty in the Department of Psychology at Haverford College. The primary goal of this text is to provide guidance to his senior thesis students on how to conduct research in his lab by working within general principles that promote research transparency using the specific open science practices described here. While it is aimed at undergraduate psychology students, hopefully it will be of use to other faculty/researchers/students who are interested in adopting open science practices in their labs.

Has there been meaningful movement toward open science practices within the social sciences in recent years? Discussions about changes in practices such as posting data and pre-registering analyses have been marked by controversy—including controversy over the extent to which change has taken place. This study, based on the State of Social Science (3S) Survey, provides the first comprehensive assessment of awareness of, attitudes towards, perceived norms regarding, and adoption of open science practices within a broadly representative sample of scholars from four major social science disciplines: economics, political science, psychology, and sociology. We observe a steep increase in adoption: as of 2017, over 80% of scholars had used at least one such practice, rising from one quarter a decade earlier. Attitudes toward research transparency are on average similar between older and younger scholars, but the paceof change differs by field and methodology. According with theories of normal science and scientific change, the timing of increases in adoption coincides with technological innovations and institutional policies. Patterns are consistent with most scholars underestimating the trend toward open science in their discipline.

“Open Science” has become a buzzword in academic circles. However, exactly what it means, why you should care about it, and – most importantly – how it can be put into practice is often not very clear to researchers. In this session of the SSDL, we will provide a brief tour d'horizon of Open Science in which we touch on all of these issues and by which we hope to equip you with a basic understanding of Open Science and a practical tool kit to help you make your research more open to other researchers and the larger interested public. Throughout the presentation, we will focus on giving you an overview of tools and services that can help you open up your research workflow and your publications, all the way from enhancing the reproducibility of your research and making it more collaborative to finding outlets which make the results of your work accessible to everyone. Absolutely no prior experience with open science is required to participate in this talk which should lead into an open conversation among us as a community about the best practices we can and should follow for a more open social science.

There is a vast body of helpful tools that can be used in order to foster Open Science practices. For reasons of clarity, this toolbox aims at providing only a selection of links to these resources and tools. Our goal is to give a short overview on possibilities of how to enhance your Open Science practices without consuming too much of your time.

Open Science, the movement to make scientific products and processes accessible to and reusable by all, is about culture and knowledge as much as it is about technologies and services. Convincing researchers of the benefits of changing their practices, and equipping them with the skills and knowledge needed to do so, is hence an important task.This book offers guidance and resources for Open Science instructors and trainers, as well as anyone interested in improving levels of transparency and participation in research practices. Supporting and connecting an emerging Open Science community that wishes to pass on its knowledge, the handbook suggests training activities that can be adapted to various settings and target audiences. The book equips trainers with methods, instructions, exemplary training outlines and inspiration for their own Open Science trainings. It provides Open Science advocates across the globe with practical know-how to deliver Open Science principles to researchers and support staff. What works, what doesn’t? How can you make the most of limited resources? Here you will find a wealth of resources to help you build your own training events.

Open Science is a collection of actions designed to make scientific processes more transparent and results more accessible. Its goal is to build a more replicable and robust science; it does so using new technologies, altering incentives, and changing attitudes. The current movement towards open science was spurred, in part, by a recent “series of unfortunate events” within psychology and other sciences. These events include the large number of studies that have failed to replicate and the prevalence of common research and publication procedures that could explain why. Many journals and funding agencies now encourage, require, or reward some open science practices, including pre-registration, providing full materials, posting data, distinguishing between exploratory and confirmatory analyses, and running replication studies. Individuals can practice and encourage open science in their many roles as researchers, authors, reviewers, editors, teachers, and members of hiring, tenure, promotion, and awards committees. A plethora of resources are available to help scientists, and science, achieve these goals.

Note: This webinar was presented in Spanish. The slides presented during this webinar can be found here:https://osf.io/6qnse/ The slides presented during this seminar can be found here: https://osf.io/6qnse/ Este seminario web se centrará en el estado de la ciencia abierta en América Latina, desde los esfuerzos de los investigadores individuales para abrir sus flujos de trabajo, herramientas para ayudar a los investigadores a ser abiertos y nuevas redes e iniciativas prometedoras en ciencia abierta. Ricardo Hartley (@ametodico) es profesor de metodología de la investigación de la Universidad Central de Chile, investigador en biología de la reproducción y en comunicación - valoración del conocimiento. Organizador de las OpenCon Santiago 2016 y 2017 y embajador COS. Erin McKiernan es profesora del Departamento de Física, Programa de Física Biomédica de la Universidad Nacional Autónoma de México. También es la fundadora del Why Open Research? proyecto, un sitio educativo para que los investigadores aprendan cómo compartir su trabajo, financiado en parte por la Fundación Shuttleworth. Fernan Federici Noe es profesor asistente e investigador de la Universidad Católica de Chile y fellow internacional del OpenPlant Synthetic Biology Center, University of Cambridge. Fernan es miembro del Global For Open Science Hardware (GOSH) y TECNOx (www.tecnox.org).

In response to concerns about the replicability of published research, some disciplines have used open science practices to try to enhance the credibility of published findings. Gerontology has been slow to embrace these changes. We argue that open science is important for aging research, both to reduce questionable research practices that may also be prevalent in the field (such as too many reported significant age differences in the literature, underpowered studies, hypothesizing after the results are known, and lack of belief updating when findings do not support theories), as well as to make research in the field more transparent overall. To ensure the credibility of gerontology research moving forward, we suggest concrete ways to incorporate open science into gerontology research: for example, by using available preregistration templates adaptable to a variety of study designs typical for aging research (even secondary analyses of existing data). Larger sample sizes may be achieved by many-lab collaborations. Though using open science practices may make some aspects of gerontology research more challenging, we believe that gerontology needs open science to ensure credibility now and in the future.

Open Source Guides (https://opensource.guide/) are a collection of resources for individuals, communities, and companies who want to learn how to run and contribute to an open source project.

Background: Open Source Guides were created and are curated by GitHub, along with input from outside community reviewers, but they are not exclusive to GitHub products. One reason we started this project is because we felt that there weren't enough resources for people creating open source projects.

Our goal is to aggregate community best practices, not what GitHub (or any other individual or entity) thinks is best. Therefore, we try to use examples and quotations from others to illustrate our points.