All resources in Scholarly Communication Notebook

Scholarly Communication

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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

Material Type: Full Course, Module, Textbook, Unit of Study

Author: Anup Kumar Das

Peer Review Process Guide – The Rebus Guide to Publishing Open Textbooks (So Far)

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This section of The Rebus Guide to Publishing Open Textbooks (So Far) will help you coordinate and implement peer review on your book, including advice on deciding what type of review is needed, the tools to use, creating a guide for reviewers, and more. It is licensed under a Creative Commons Attribution 4.0 International License (CC BY) and you are welcome to print this document, make a copy for yourself, or share with others. Please read through the sections below, and consider the suggestions as you begin the peer review stage of your project. If you have any questions or feedback, please feel free to post them in the Rebus Community project home. This document is an evolving draft, based on our experience managing open textbook projects and community feedback. We welcome your thoughts and contributions, so let us know how it works for you, or if you have any suggestions to improve the guide.

Material Type: Reading

Authors: Apurva Ashok, Zoe Wake Hyde

Open Science: Sharing Your Research with the World

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You can become a more visible, effective and impactful researcher by sharing your research data and publications openly. In this course, you will learn the objectives, main concepts, and benefits of Open Science principles along with practices for open data management and open data sharing. Since research increasingly relies on software which is used to model and simulate, and to deal with the ever growing volume of research data, the course will also introduce FAIR software practices. You'll learn to establish links between publications, data, software and methods, how to attach a persistent identifier and metadata to your results, and methods for clarifying usage rights. You will also discover ways to apply these principles to your daily research and adapt existing routines. Finally, you'll uncover potential barriers to sharing research and discuss possible solutions. This course will help you grasp the key principles of Open Science, with answers to questions like: How can researchers effectively store, manage, and share research data? What kinds of open access publishing are most effective? How can researchers increase the visibility and impact of their research? How can the use of social media contribute to the visibility and impact of research? How can researchers be acknowledged for the research software they write? You will apply the topics of the course to a variety of case studies on Open Science adoption, which you will then discuss among fellow students. You will also be presented with a hands-on guide to publishing your research with open access. This will help you to apply Open Science principles in your daily work. It will enable you to implement and benefit from the Open Science policies that are currently being developed by governments and research institutions. This course is aimed at professionals. Those who will see the most benefit include academic researchers at different levels: PhD students, postdoctoral researchers, and professors; researchers working for governments; researchers working for commercial enterprises; MSc and BSc students interested to learn about the principles of Open Science. The development of this course is supported by the VRE4EIC project with funding from the European Union's Horizon 2020 Research and Innovation Programme.

Material Type: Full Course

Authors: Anneke Zuiderwijk, Marijn Janssen, Michiel de Jong, Nicole Will

Think. Check. Submit.

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Think. Check. Submit. helps researchers identify trusted journals and publishers for their research. Through a range of tools and practical resources, this international, cross-sector initiative aims to educate researchers, promote integrity, and build trust in credible research and publications.

Material Type: Activity/Lab

Authors: Committee on Publication Ethics (COPE), Directory of Open Access Journals (DOAJ), INASP, International Association of STM Publishers (STM), ISSN International Centre, Ligue des Bibliothèques Européennes de Recherche – Association of European Research Libraries (LIBER), Open Access Publishing in European Networks (OAPEN), Open Access Scholarly Publishers Association (OASPA), UKSG

Making Institutional Repositories Work

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Quickly following what many expected to be a wholesale revolution in library practices, institutional repositories encountered unforeseen problems and a surprising lack of impact. Clunky or cumbersome interfaces, lack of perceived value and use by scholars, fear of copyright infringement, and the like tended to dampen excitement and adoption. This collection of essays, arranged in five thematic sections, is intended to take the pulse of institutional repositories—to see how they have matured and what can be expected from them, as well as introduce what may be the future role of the institutional repository.

Material Type: Textbook

Authors: Andrew Wesolek, Burton B. Callicott, David Scherer

Figshare

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Figshare is a repository where users can make all of their research outputs available in a citable, shareable and discoverable manner. Figshare allows users to upload any file format to be previewed in the browser so that any research output from posters and presentations to datasets and code, can be disseminated in a way that the current scholarly publishing model does not allow.

Material Type: Teaching/Learning Strategy

Author: Mark Hahnel

Engaging Researchers with Data Management: The Cookbook

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Effective Research Data Management (RDM) is a key component of research integrity and reproducible research, and its importance is increasingly emphasised by funding bodies, governments, and research institutions around the world. However, many researchers are unfamiliar with RDM best practices, and research support staff are faced with the difficult task of delivering support to researchers across different disciplines and career stages. What strategies can institutions use to solve these problems? Engaging Researchers with Data Management is an invaluable collection of 24 case studies, drawn from institutions across the globe, that demonstrate clearly and practically how to engage the research community with RDM. These case studies together illustrate the variety of innovative strategies research institutions have developed to engage with their researchers about managing research data. Each study is presented concisely and clearly, highlighting the essential ingredients that led to its success and challenges encountered along the way. By interviewing key staff about their experiences and the organisational context, the authors of this book have created an essential resource for organisations looking to increase engagement with their research communities. This handbook is a collaboration by research institutions, for research institutions. It aims not only to inspire and engage, but also to help drive cultural change towards better data management. It has been written for anyone interested in RDM, or simply, good research practice.

Material Type: Textbook

Authors: Connie Clare, Elli Papadopoulou, Iza Witkowska, James Savage, Joanne Yeomans, Maria Cruz, Marta Teperek, Yan Wang

Preservation and Curation of ETD Research Data and Complex Digital Objects: Data Organization

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How researchers structure their data varies by disciplines and research questions. Still, there are general guidelines for structuring data that make it more likely to be usable in the future. The following questions should be considered for any project that gathers data. These questions should be considered first at the planning stage, again as data is being gathered and stored, and once more prior to final deposit into a digital archive or repository. 1. What are the data organization standards for your field? For example, there are often standards for labeling data fields that will make your data machinereadable. There may also be specific variables and coding guidelines that you can use that will make your work interoperable with other datasets. Lastly, there may be accepted hierarchies and directory structures in your discipline that you can build upon. 2. What are the data export options in the software you are using? If using proprietary and/or highly specialized software to analyze large data sets, export the data in a format that is likely to be supported in the future, and that will be accessible from other software programs. This usually means choosing an open format that is not proprietary. Remember that you may not have access to the same software in the future, and not all software upgrades can read old file types. 3. What forms of the data will be needed for future access? Consider the various forms the data may take, and the scale of the data involved. You may need to preserve not only the underlying raw data, but also the resulting analyses you have created from it.

Material Type: Lesson

Author: Educopia Institute

Introduction to Data Management

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As rapidly changing technology enables researchers to collect large, complex datasets with relative ease, the need to effectively manage these data increases in kind. This is the first lesson in a series of education modules intended to provide a broad overview of various topics related to research data management. It covers: trends in data collection, storage and loss, the importance and benefits of data management, and an introduction to the data life cycle.

Material Type: Lesson

Author: DataONE Community Engagement & Outreach Working Group

Data Sharing

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When first sharing research data, researchers often raise questions about the value, benefits, and mechanisms for sharing. Many stakeholders and interested parties, such as funding agencies, communities, other researchers, or members of the public may be interested in research, results and related data. This lesson addresses data sharing in the context of the data life cycle, the value of sharing data, concerns about sharing data, and methods and best practices for sharing data.

Material Type: Lesson

Author: DataONE Community Engagement & Outreach Working Group

Data Management Planning

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Data management planning is the starting point in the data life cycle. Creating a formal document that outlines what you will do with the data during and after the completion of research helps to ensure that the data is safe for current and future use. This lesson describes the benefits of a data management plan (DMP), outlines the components of a DMP, details tools for creating a DMP, provides NSF DMP information, and demonstrates the use of an example DMP.

Material Type: Lesson

Author: DataONE Community Engagement & Outreach Working Group

Data Entry and Manipulation

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When entering data, common goals include creating data sets that are valid, have gone through an established process to ensure quality, are organized, and reusable. This lesson outlines best practices for creating data files. It will detail options for data entry and integration, and provide examples of processes used for data cleaning, organization and manipulation.

Material Type: Lesson

Author: DataONE Community Engagement & Outreach Working Group

Data Quality Control and Assurance

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Quality assurance and quality control are phrases used to describe activities that prevent errors from entering or staying in a data set. These activities ensure the quality of the data before it is collected, entered, or analyzed, as well as actively monitoring and maintaining the quality of data throughout the study. In this lesson, we define and provide examples of quality assurance, quality control, data contamination and types of errors that may be found in data sets. After completing this lesson, participants will be able to describe best practices in quality assurance and quality control and relate them to different phases of data collection and entry.

Material Type: Lesson

Author: DataONE Community Engagement & Outreach Working Group

Backups, Archives & Data Preservation

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There are several important elements to digital preservation, including data protection, backup and archiving. In this lesson, these concepts are introduced and best practices are highlighted with case study examples of how things can go wrong. Exploring the logistical, technical and policy implications of data preservation, participants will be able to identify their preservation needs and be ready to implement good data preservation practices by the end of the module.

Material Type: Lesson

Author: DataONE Community Engagement & Outreach Working Group

Metadata Management

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What is metadata? Metadata is data (or documentation) that describes and provides context for data and it is everywhere around us. Metadata allows us to understand the details of a dataset, including: where it was collected, how it was collected, what gaps in the data mean, what the units of measurement are, who collected the data, how it should be attributed etc. By creating and providing good descriptive metadata for our own data, we enable others to efficiently discover and use the data products from our research. This lesson explores the importance of metadata to data authors, users of the data and organizations, and highlights the utility of metadata. It provides an overview of the different metadata standards that exist, and the core elements that are consistent across them. It guides users in selecting a metadata standard to work with and introduces the best practices needed for writing a high quality metadata record.

Material Type: Lesson

Author: DataONE Community Engagement & Outreach Working Group

Data Citation

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Data citation is a key practice that supports the recognition of data creation as a primary research output rather than as a mere byproduct of research. Providing reliable access to research data should be a routine practice, similar to the practice of linking researchers to bibliographic references. After completing this lesson, participants should be able to define data citation and describe its benefits; to identify the roles of various actors in supporting data citation; to recognize common metadata elements and persistent data locators and describe the process for obtaining one, and to summarize best practices for supporting data citation.

Material Type: Lesson

Author: DataONE Community Engagement & Outreach Working Group