"Learning Data Ethics for Data Sharing" is an Open Educational Resource (OER) for library students, data librarians, or researchers interested in learning how to ethically share data into data repositories. Often DEIA topics are discussed in terms of data collection or in regards to public use of data; this work attempts to target responsible ethics at the process that is occurring while preparing to share data, with the goal of creating FAIR access to the data and reusability for future research.

Additional documentation is available at https://osf.io/cb3sa/.

This module will look at emerging trends and best practice in data management, quality assessment and IPR issues. We will look at policies regarding data management and their implementation, particularly in the framework of a Research Infrastructure.

Learning Outcomes:
By the end of this module, you should be able to:
- Understand and describe the FAIR Principles and what they are used for
- Understand and describe what a Data Management Plan is, and how they are used
- Understand and explain what Open Data, Open Access and Open Science means for researchers
- Describe best practices around data management
- Understand and explain how Research Infrastructures interact with and inform policy on issues around data management

You can progress through this module in the order in which we present the various sections. However, this is merely a suggestion as to how you might approach this topic. You might choose to skip certain sections depending on your level of previous knowledge in that area. You can navigate this via the menu on the lefthand side.

Each section has a set of resources and tools that you might find useful, as well as a list of items that we recommend for further reading around the subject.

User-friendly Geographic Information Systems (GIS) is the common thread of this collection of presentations, and activities with full lesson plans. The first section of the site contains an overview of cartography, the art of creating maps, and then looks at historical mapping platforms like Hypercities and Donald Rumsey Historical Mapping Project. In the next section Google Earth Desktop Pro is introduced, with lessons and activities on the basics of GE such as pins, paths, and kml files, as well as a more complex activity on "georeferencing" an historic map over Google Earth imagery. The final section deals with ARCGIS Online and StoryMaps with tutorials, basic exercises on pins, paths, and CSV import, and a lesson plan for creating a research project presentation on an historic building in StoryMaps. In addition to an xml file that has been uploaded here to Academic Works, the module is also a live website at https://libguides.brooklyn.cuny.edu/cs-x. The site was created with Libguides software, and is a Community Libguide that can be reused and imported into other LibGuides sites. The website also contains links to two live StoryMaps, one on an Introduction to ARCGIS StoryMaps (https://arcg.is/1SX1zH), and the second, a model assignment on the history of the Fairway building in Red Hook, Brooklyn (https://arcg.is/1nbHP).

The Mozilla Science Lab is developing an Open Data Training Program. This repository will be where we build and share our curriculum and resources for open data.

Après un premier Plan Stratégique Numerique, décliné de 2015 à 2020, l'UCLouvain se dote en 2021 d'un nouveau projet de transformation numérique à l'horizon du 600e anniversaire de l'institution. Il contribue à la mise en place d'objectifs d’ouverture (Open Science, Open Education, dynamique internationale via Circle U.) et d' innovation (transformation de l’environnement pédagogique). Prolongeant l’expérience numérique développée ces dernières années, ce projet (document PDF, sous licence CC-BY) vise à en pérenniser les résultats, en matière d'Open Education, d'Open Sience et de formation à distance.

OpenAlex is a fully open catalog of the global research system. Its dataset describes scholarly entities and how those entities are connected to each other. OpenAlex provides documentation and guidance on how to use API to retrieve thier data. Thus, one can this resource to prepare an API workshop or for professional development.

Open Data Kit (ODK) is an open-source suite of tools that helps organizations author, field, and manage mobile data collection solutions. Our goals are to make open-source and standards-based tools which are easy to try, easy to use, easy to modify and easy to scale. To this end, we are proud members of the OpenRosa Consortium and active participants in the JavaRosa project.

ODK's core developers are researchers at the University of Washington's Department of Computer Science and Engineering department and active members of Change, a multi-disciplinary group at UW exploring how technology can improve the lives of under-served populations around the world.

Open Data as Open Educational Resources Case studies of emerging practice is a collection of narratives reflecting good practices in the use of open data in teaching and learning.

Everyone can make a web map now, but what are the best tools to do so? Maybe you have already created web maps with ArcGIS or Google Maps but never taken time to have a closer look at open source software alternatives such as QGIS, GeoServer and Leaflet? Or, are you new to web mapping and looking for the best way to create a web application for spatial data from your job or hobby? If so, GEOG 585, Open Web Mapping, is the right course for you. Learn about FOSS vs. proprietary GIS software, open data and standards for web mapping, and how to create beautiful and interactive web maps with Javascript and Leaflet.

The movement towards open science is a consequence of seemingly pervasive failures to replicate previous research. This transition comes with great benefits but also significant challenges that are likely to affect those who carry out the research, usually early career researchers (ECRs). Here, we describe key benefits, including reputational gains, increased chances of publication, and a broader increase in the reliability of research. The increased chances of publication are supported by exploratory analyses indicating null findings are substantially more likely to be published via open registered reports in comparison to more conventional methods. These benefits are balanced by challenges that we have encountered and that involve increased costs in terms of flexibility, time, and issues with the current incentive structure, all of which seem to affect ECRs acutely. Although there are major obstacles to the early adoption of open science, overall open science practices should benefit both the ECR and improve the quality of research. We review 3 benefits and 3 challenges and provide suggestions from the perspective of ECRs for moving towards open science practices, which we believe scientists and institutions at all levels would do well to consider.

The tenth episode of "The Other Fifty Weeks: An Open Education Podcast", discussing open data with Sander van der Waal.

PLoS Medicine is an international, multidisciplinary medical journal that publishes outstanding human studies that substantially enhance the understanding of human health and disease. PLoS Medicine aims to promote translation of basic research into clinical investigation, and of clinical evidence into practice. PLoS Medicine encourages papers that cross disciplines.

PLoS ONE will be a high-volume, efficient and economical system for the publication of peer-reviewed research in all areas of science and medicine. It will provide a unique forum for community dialogue using the full potential of the web to accelerate scientific progress.

Discussions of how to improve research quality are predominant in a number of fields, including education. But how prevalent are the use of problematic practices and the improved practices meant to counter them? This baseline information will be a critical data source as education researchers seek to improve our research practices. In this preregistered study, we replicated and extended previous studies from other fields by asking education researchers about 10 questionable research practices and 5 open research practices. We asked them to estimate the prevalence of the practices in the field, self-report their own use of such practices, and estimate the appropriateness of these behaviors in education research. We made predictions under four umbrella categories: comparison to psychology, geographic location, career stage, and quantitative orientation. Broadly, our results suggest that both questionable and open research practices are part of the typical research practices of many educational researchers. Preregistration, code, and data can be found at https://osf.io/83mwk/.

Activity introduces students to the concept of sampling distributions and point estimates, and to how the accuracy of point estimates are affected by sample size. Concurrently, it allows students to become aware of the existence of open datasets in their discipline, and to practice using dataset documentation, downloading and importing datasets.

Researchers, scholars and scientists main business is scholarly communication. We communicate about our work to others, as we push the boundaries of what we know and the society knows. We question established notions and truths about science. We share our findings with others, and in a way that is popularly known as scholarly communication which emerged with the publication of first journal in 1665. However, the term gained popularity only in the 1970s, as access to peer reviewed and scholarly communication became difficult. This module has four units covering introduction to scholarly communication, peer reviewed journals, electronica journals and databases and the Serials Crisis. At the end of this module, the learner is expected to be able to:
- Explain philosophy, mission, and objectives of scholarly communication
- Describe the process of scholarly communication
- Identify different channels of scholarly communication
- Discuss the dysfunctioning of the scholarly communication
In Unit 1, Introduction to scholarly communication, we have discussed different aspects of scholarly communication – particularly its genesis, importance and ethics of academic publishing, and different communication channels available in academic publishing. Some of these channels are commonly described as primary sources as they provide first-hand testimony or direct evidence concerning a topic under investigation. Historically, scientific journals were initiated by learned societies and other scholarly communities for reporting results of concluded research works or scientific discoveries. Now many forprofit publishers have started publishing research journals.
Unit 2, Communicating with Peer Review Journals, covers two important academic publishing channels, namely peer reviewed journals, conferences and their proceedings. This Unit also highlights different methods and procedures of peer reviewing for publishing primary literature emanated from research studies. The peer reviewing is essential for validating quality of research findings conveyed by researchers, which are subject to fulfilment of ethical standards and appropriate research design, sampling and other methodological issues.
In Unit 3, Electronic journals and databases, we have discussed the emergence of electronic journals in academic and research environment due to wide proliferation of information and communication technologies (ICT) in research communications and academic publishing. Scientific communities and scientific communications from the global South are getting substantive attentions through adaptation of electronic journals and electronic academic databases in the process of research communications.
In Unit 4, the Serials Crisis, we discuss the cost of peer reviewed publications and the problems faced by researchers in developing countries. The focus of this unit is on highlighting the problems and discusses possible solutions including the emergence of open access as one of the solutions. Open access journal publishing helps in mitigating some of the problems associated with serials crisis.
This is Module One of the UNESCO's Open Access Curriculum for Researchers.
Full-Text is available at http://unesdoc.unesco.org/images/0023/002319/231938e.pdf

Background Sharing research data provides benefit to the general scientific community, but the benefit is less obvious for the investigator who makes his or her data available. Principal Findings We examined the citation history of 85 cancer microarray clinical trial publications with respect to the availability of their data. The 48% of trials with publicly available microarray data received 85% of the aggregate citations. Publicly available data was significantly (p = 0.006) associated with a 69% increase in citations, independently of journal impact factor, date of publication, and author country of origin using linear regression. Significance This correlation between publicly available data and increased literature impact may further motivate investigators to share their detailed research data.

This is the last Module of the course on Open Access for researchers. So far you have studied about Open Access, its history, advantages, initiatives, copyrights and licensing, evaluation matrix for research – all in the context of scholarly communication. In this Module with just two units, we would like to help you share your work in Open Access though repositories and journals. At the end of this module, you are expected to be able to:
- Understand the publication process involved in dissemination of scholarly works;
- Choose appropriate Open Access journals and repositories for sharing research results;
- Use social media to promote personal research work and build reputation.
In Unit 1, we discuss the research publication process at five stages – planning stage, preparing stage, pre-publication stage, publication stage and postpublication stage. We emphasize the importance of social media in sharing and making your work visible to the target groups.
In Unit 2, we focus on sharing your research through OA repositories and Journals. First we discussed the different types of repositories to select and highlighted the steps that you may consider including deposit in your own institutional repositories or in global open repositories. We then discuss the sources of finding and deciding on OA journals. This unit also provides guidance on choosing the right OA journals, as the quality of OA journals is often questioned.
This is Module Five of the UNESCO's Open Access Curriculum for Researchers.
Full-Text is available at http://unesdoc.unesco.org/images/0023/002322/232211E.pdf

The wide array of datasets provided in this collection affords educators and learners alike an understanding of several large networks from state roads to the internet. Access data on social networks, Wikipedia use and e-mail communication and much more.

This case study is retrieved from the open book Open Data as Open Educational Resources. Case studies of emerging practice.

Course description:

Metrics and measurement are important strategic tools for understanding the world around us. To take advantage of the possibilities they offer, however, one needs the ability to gather, work with, and analyse datasets, both big and small. This is why metrics and measurement feature in the seminar course Technology and Evolving Forms of Publishing, and why data analysis was a project option for the Technology Project course in Simon Fraser University’s Master of Publishing Program.

The assignment:

“Data Analysis with Google Refine and APIs": Pick a dataset and an API of your choice (Twitter, VPL, Biblioshare, CrossRef, etc.) and combine them using Google Refine. Clean and manipulate your data for analysis. The complexity/messiness of your data will be taken into account”.