Data Management Expert Guide
This guide is designed by European experts to help social science researchers make their research data Findable, Accessible, Interoperable and Reusable (FAIR).

You will be guided by different European experts who are - on a daily basis - busy ensuring long-term access to valuable social science datasets, available for discovery and reuse at one of the CESSDA social science data archives.

You can download the full DMEG for your personal study offline (DOI: 10.5281/zenodo.3820473). PDFs for every single chapter are also available for being printed as handouts for training.

We are a group of volunteer CSD scientists and clinicians passionate about bridging the gap between scientific research and clinical practice.
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While there are many ways to increase research access and awareness, our 2020–2021 goal centers squarely on self-archiving and "green" open access options.
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WHY? Our field relies on high-quality, peer-reviewed research to support evidence-based practice. Yet, much of our work remains inaccessible to practitioners, researchers, and people in the community who are not affiliated with universities or national organizations.
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By teaching CSD scientists how to self-archive, and providing them with the support needed to make it happen, we can empower our colleagues to make research accessibility the norm in our field. Because when free, legal versions of our field's best research is made available to the public, it can improve the sustainable value of all of our work.

The CUNY HSE Curriculum Framework provides direction, structure and materials for teaching math, science and social studies (integrated with reading and writing) in the new era of HSE instruction. The complete framework is available for free download.

The framework was written by the CUNY Adult Literacy PD Team to respond to the challenges facing high school equivalency (HSE) teachers and their students. It is a guide for planning your instruction – including topic recommendations, model lessons, guiding questions, readings, and problems. The framework prioritizes depth over breadth. It does not address all of the content that might potentially be included on an HSE exam, but instead models a focused and coherent study of high priority topics within each content area.

As teachers in adult literacy and HSE education, our work has always been demanding. Now that our students face a new and more challenging HSE test, the demands on teachers are even greater. Teaching students to read, write and do math at the HSE level is no longer enough. Students need specific, deep and coherent content knowledge, as well as the capacity to apply this content knowledge to analysis and problem solving.

As the demands on our students and teachers are increasing, it is important that we don’t lose sight of one of our greatest strengths — our practice of starting from where students are and our serious respect for their learning processes. As a student of ours once said, “You can’t make a plant grow by pulling on it, you only make it rootless.”

The Social Studies section integrates reading and writing through a focus on U.S. history, with extensions to civics, economics and geography. This section has a curriculum map, 12 unit descriptions, six model lesson plans and additional resources.

The Science section provides an introduction to matter and basic chemistry with extensions to science/math connections. This section includes a curriculum map with 23 topic descriptions and key questions, and three complete inquiry-based model lesson plans.

The Math section focuses on problem-solving in functions and algebra. It integrates problem-solving strategies, productive struggle, perseverance and mathematical discussion into content learning. This section includes a curriculum map, model lessons, rich engaging math problems, samples of student work, powerful routines for math classrooms, classroom videos, and more.

This resource provides a list of videos and other resources that can be used in career exploration with secondary students. Resources highlight careers that make use of green chemistry and sustainable design principles. The list includes several Washington career opportunities.

Data Carpentry, Software Carpentry, and Library Carpentry are branches under The Carpentries known as a learning program to develop and teach workshops on the fundamental data and coding skills needed to conduct research. Participants can request to host a workshop at their institution or organization, attend a workshop, and/or involve by becoming a certified instructor, contributing in developing the content, or just simply support the programs. All lessons in either Carpentry branch can be used to teach introduction courses in data science/library information sciences.

This OER explores the organization of the Ecliptic. It contains both an activity as well as resources for further exploration. It is a product of the OU Academy of the Lynx, developed in conjunction with the Galileo's World Exhibition at the University of Oklahoma.

We envision a future scholarly community in which the process, content, and outcomes of research are openly accessible by default.

Although CS Education researchers and practitioners have found ways to improve CS classroom inclusivity, few researchers have considered inclusivity of online CS education. We are interested in two such improvements in online CS education- besides being inclusive to each other, online CS students also need to be able to create inclusive technology.

This unit provides Common-Core aligned lessons based for Math 3, English 10, and Biology (NGSS Standards). The subjects are linked by a text on climate change, and they hit the standards of argumentation for English, comparing functions in Math 3, and human effects on environment in Biology.

This website will be very useful for students who are beginners for C programming.

* All topics are explained very clearly and in very easy way to understand.

* Easy navigation through all topics

* Simple example programs and output

* Real time application programs with source code

This survey instrument is designed to understand how creators use (or decide not to use) Creative Commons licenses. The target survey participants are people who create materials for documentation, maintenance, instruction, learning, and/or revitalization of Indigenous, minority, endangered, and/or low-resourced languages. Part 1 of this survey is designed to learn about the digital creation formats and sharing practices in this specific community of practice. Parts 2 through 4 of this survey contain general questions intended to elicit information about research participants’ knowledge and awareness of Creative Commons (CC) licenses; understanding of how to apply CC licenses to their digital creations; interest in and experience with applying CC licenses to their digital creations; motivations for and barriers to applying CC licenses to their digital creations; and understanding of how to adapt or reuse digital creations licensed with CC licenses.

This survey can be easily adapted for use in other communities of practice by editing some of the questions and multiple-choice responses.

If you wish to read this survey and background information about it, please start with the file ReadMe-CCLuseSurvey.pdf.

The file Creative_Commons_License_Use_Survey.qsf is a Qualtrics Survey File that can be used to recreate this survey in your own instance of the Qualtrics software.

The file Creative_Commons_License_Use_Survey.pdf is a PDF of the survey. This version includes Creative Commons graphics that are used in the survey questions. The file ReadMe-CCLuseSurvey.pdf does not include the graphics.

The framework was developed by the Kapor Center to bring a focus to equity in Computer Science Education, specifically around teacher preparation, professional development, curriculum development, and policy-making.

DASHlink is a virtual laboratory for scientists and engineers to disseminate results and collaborate on research problems in health management technologies for aeronautics systems. Managed by the Integrated Vehicle Health Management project within NASA's Aviation Safety program, the Web site is designed to be a resource for anyone interested in data mining, IVHM, aeronautics and NASA.

Abstract
Training materials. The DATUM for Health training programme covers both generic and discipline-specific issues, focusing on the management of qualitative, unstructured data, and is suitable for students at any stage of their PhD. It aims to provide students with the knowledge to manage their research data at every stage in the data lifecycle, from creation to final storage or destruction. They learn how to use their data more effectively and efficiently, how to store and destroy it securely, and how to make it available to a wider audience to increase its use, value and impact.

Data curation primers are peer-reviewed, living documents to provide practical and concise guides on curating a specific data type or format, or addressing a particular challenge in data curation work. All the primers are developed by Data Curation Network (DCN) which is a seed funding project from the Alfred P Sloan Foundation. The target audiences of primers are data curators and/or data librarians. To date, DCN has published more than 25 primers on database, Excel, netCDF, NVivo, R, SPSS, etc.

The ESIP Federation, in cooperation with NOAA and the Data Conservancy, seeks to share the community's knowledge with scientists who increasingly need to be better data managers, as well as to support workforce development for new data management professionals. Over the next several years, the ESIP Federation expects to evolve training courses which seeks to improve the understanding of scientific data management among scientists, emerging scientists, and data professionals of all sorts.

All courses are available under a Creative Commons Attribution 3.0 license that allows you to share and adapt the work as long as you cite the work according to the citation provided. Please send feedback upon the courses to shortcourseeditors@esipfed.org.

The Data Management Skillbuilding Hub is a repository for open educational resources regarding data management, meaning that it is a collection of learning resources freely contributed by anyone willing to share them. Materials such as lessons, best practices, and videos, are stored in the DataONEorg GitHub repository as well as searchable through the Data Management Training Clearinghouse. We invite you submit your own educational resources so that the Data Management Skillbuilding Hub can remain an up-to-date and sustainable educational tool for all to benefit from. You can easily contribute learning materials to the Skillbuilding Hub via GitHub online.

Data Tree is a free online course with all you need to know for research data management, along with ways to engage and share data with business, policymakers, media and the wider public. The self-paced training course will take 15 to 20 hours to complete in eight structured modules. The course is packed with video, quizzes and real-life examples of data management, along with valuable tips from experts in data management, data sharing and science communication. The training course materials will be available for structured learning, but also to dip into for immediate problem solving.

Data Tree is funded by the Natural Environment Research Council (NERC) through the National Productivity Investment Fund (NPIF), delivered by the Institute for Environmental Analytics and Stats4SD and supported by the Institute of Physics.