What is this about? (Is About)

From The Embassy of Good Science
A short summary providing some details about the theme/resource (max. 75 words)


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This short guide helps to find the Eigenfactor. It is useful for researchers, PhD students, journal editors and publishers.  +
This study describes a class in research methods intended for graduate students of science and engineering. The aim was to develop and test methods that would evaluate students' progress in learning research ethics.  +
Even though analysing content of texts produced by learners as authentic learning outputs is time-consuming and difficult in case of large numbers of participants, it is possible to use deductive content or thematic analysis to extract specific topics. We introduce some possible criteria for content/thematic analysis with examples. We will illustrate the criteria based on possible answers to the following case: {| class="wikitable" |+ !Your research team is doing research involving preschool children. Part of your data collection scheme is to video record some planned activities during a regular day at the school. You have asked the children’s’ parents for informed consent. Slightly over half of the parents have consented, and you feel pretty good about your upcoming data collection. On the day of the activities and recording the children whose parents had not consented to their child participating in research had to be taken to another room for the duration of the data collection. You have planned that it like this because, it will be easier to set up the cameras and to manage the data if you have only those children in the room for whom the parents have given their consent. As you then, with the help of a preschool teacher, guide the remaining children out of the room, they begin to scream and some start to cry. They feel that they are being punished for something and that they will miss out on a fun activity that the others will do. |}  +
The aim of this study was to analyze what effects courses on the responsible conduct of research (RCR) have on ethical decision making. The study concluded that the existing courses on RCR can be ineffective and also detrimental, because they might lead to avoidance of ethical problems or overconfidence in solving of these problems.  +
This case is about a Facebook study that manipulated users' data in order to examine emotions and their change. The study lasted for a week. Facebook claims that the use of data was in order to improve their services. The author of this case study poses the question of whether, although legal under the company's terms and conditions, such use of data is ethical.  +
The two interactive annotated videos presented in this module have been recorded during two PREPARED dialogue events organized by the project in collaboration with SAGE. The two events address respectively the following themes: #Ethics and integrity challenges for research during global crises #Bringing ethics into policy making about research preparedness  +
This module  introduces a collection of training materials developed by EU funded initiatives to explore and deepen reflection on relevant research ethics and integrity topics. The following training material can be used within and/or outside the academic environment. The materials presented have been developed by EU-funded initiatives namely: PRINTEGER, RID-SSISS, INTEGRITY and BRIDGE. For each set of materials developed by each project the target audience is indicated.  +
This module  introduces a collection of training materials developed by EU funded initiatives to explore and deepen reflection on relevant research ethics and integrity topics. The following training material can be used within and/or outside the academic environment. The materials presented have been developed by EU-funded initiatives namely: PRINTEGER, RID-SSISS, INTEGRITY and BRIDGE. For each set of materials developed by each project the target audience is indicated.  +
This module presents training materials developed by the EU-funded ROSiE initiative focusing on open science. By imparting the essential knowledge and cultivating particular skills and attitudes, the [https://rosie-project.eu/ ROSiE] Training Materials for Responsible Open Science aim to teach researchers how to perform open science responsibly and prevent research misconduct within the framework of open science.  +
This module presents training materials developed by the EU-funded ROSiE initiative focusing on open science. By imparting the essential knowledge and cultivating particular skills and attitudes, the [https://rosie-project.eu/ ROSiE] Training Materials for Responsible Open Science aim to teach researchers how to perform open science responsibly and prevent research misconduct within the framework of open science.  +
This module presents guidelines developed by the European Commission, UKRIO and the ENAI network which focus on the responsible use of AI. As AI becomes increasingly integrated into our lives and work, it is important to ensure that its development and use is both ethical and responsible. This module is designed to help educators educate individuals and organizations about the principles and practices of responsible AI.  +
This activity is designed to help you reflect on how these skills contribute to addressing complex sustainability challenges.  +
Bu kılavuz, araştırma doğruluğu konusunda eğitmenlerin eğitimine yönelik karma bir eğitim programını yürütmek için gerekli pratik talimatları içermektedir.  +
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This online self-assessment tool developed in the FAIRsFAIR project allows you to evaluate your knowledge about the FAIR principles and learn skills to put these principles into practice.  +
''FAPESP’s Open Access Policy'' (2019), published by the São Paulo Research Foundation, sets national expectations for open science and open access in Brazil, aligning them with international standards. Written in English, it frames openness as the default while respecting ethics, privacy, intellectual property, and security, following the principle of being “as open as possible, as closed as necessary.” The policy emphasizes open access publishing through trusted repositories, Creative Commons licensing, persistent identifiers, and FAIR data principles supported by data management plans. It defines responsibilities for researchers, institutions, and funders, including rights retention, funding acknowledgment, and transparent rules for embargoes or exceptions. Infrastructure such as repositories, registries, and discovery services underpins compliance and visibility, linking Brazilian practices with initiatives like Plan S and national repository networks. Equity, responsible openness, and multilingual access are central, ensuring affordability and inclusion while safeguarding sensitive or Indigenous data. Serving as both a benchmark and practical checklist, the policy offers actionable steps to strengthen transparency, reproducibility, and equitable research access in Brazil.  +
This blog presents a few example cases of fraud, falsified data and other types of research misconduct identified by the US Food and Drug Administration (FDA).  +
This workshop discusses how to deal with issues with regard to research integrity, addressing good and bad research practices. Some of the covered topics where: What is exactly research integrity? What are the risks? How to detect research misconduct? With what resources can researchers react to respond to topics related to research integrity? How should researchers act when research integrity is endangered? The planned learning outcome is to raise awareness on responsible conduct of research among PhD students and help them recognize and apply it in their research and in the research of others.  +
''FRQ Open Access Dissemination Policy'' (2022), published by Fonds de recherche du Québec (FRQ), sets national expectations for open science and open access in Canada, aligning them with international standards. Written in French and English, it establishes openness as the default while balancing ethics, privacy, intellectual property, and security, guided by the principle “as open as possible, as closed as necessary.” The policy emphasizes open access publishing through repositories, Creative Commons licensing, persistent identifiers, and FAIR data principles supported by data management plans. It outlines responsibilities for researchers, institutions, and funders, including rights retention, funding acknowledgment, and transparency for embargoes or exceptions. Infrastructure such as repositories, discovery services, and registries underpins compliance and visibility, while alignment with initiatives like Plan S and national networks ensures interoperability. Equity, multilingual communication, and responsible openness are cross-cutting themes, with safeguards for sensitive and Indigenous data. Serving as a benchmark and checklist, the policy offers actionable steps to enhance transparency, reproducibility, and equitable access to research across Canada.  +
Two graduate students co-author an article. After submission, they receive a response from a referee with critical but valid comments on one section. One of the graduate students takes the lead in the revision. The other student recognizes that in the new version, the other student has changed some data, writing to the referee that they were mistakes. The graduate student is suspicious because there is no good explanation for the change of data. In addition, she knows the revising student is desperate to publish in a good journal before she starts her job search next year. However there is no concrete evidence of misconduct.  +
Facebook is the best human research lab ever. There’s no need to get experiment participants to sign pesky consent forms as they’ve already agreed to the site’s data use policy. A team of Facebook data scientists are constantly coming up with new ways to study human behavior through the social network. When the team releases papers about what it's learned from us, we often learn surprising things about Facebook instead -- such as the fact that it can keep track of the status updates we never actually post.  +
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