All Learning Resources
DataONE Data Management Module 09: Analysis and Workflows
This module covers types of data analyses, introduction to reproducibility, provenance, and workflows, informal (conceptual) and formal (executable) workflows.
DataONE Data Management Module 04: Data Entry and Manipulation
This module covers best practices for data entry, data entry and data manipulation tools. It covers best practices for creating organized spreadsheets and data files, use of descriptive file names, and software options for data manipulation.
DataONE Data Management Module 10: Legal and Policy Issues
Legal and policy issues, copyright and licenses, data restrictions and ethical considerations.
Open Teacher Information Management Courses
Ocean Teacher is a comprehensive e-Learning platform developed by the International Oceanographic Data and Information Exchange (IODE) to help build equitable capacity related to ocean research, observations, and services in UNESCO's Intergovernmental Oceanographic Commission. This series of presentations, short courses is focused on information management in the ocean sciences and is intended to be used in conjunction with classroom training.
Open Teacher Data Management Courses
Ocean Teacher is a comprehensive e-Learning platform developed by the International Oceanographic Data and Information Exchange (IODE) to help build equitable capacity related to ocean research, observations, and services in UNESCO's Intergovernmental Oceanographic Commission. This series of presentations, short courses is focused on data management in the ocean sciences and is intended to be used in conjunction with classroom training.
New England Collaborative Data Management Curriculum
NECDMC is an instructional tool for teaching data management best practices to undergraduates, graduate students, and researchers in the health sciences, sciences, and engineering disciplines. Each of the curriculum’s seven online instructional modules aligns with the National Science Foundation’s data management plan recommendations and addresses universal data management challenges. Included in the curriculum is a collection of actual research cases that provides a discipline specific context to the content of the instructional modules. These cases come from a range of research settings such as clinical research, biomedical labs, an engineering project, and a qualitative behavioral health study. Additional research cases will be added to the collection on an ongoing basis. Each of the modules can be taught as a stand-alone class or as part of a series of classes. Instructors are welcome to customize the content of the instructional modules to meet the learning needs of their students and the policies and resources at their institutions.
Planning for Software Reproducibility and Reuse
Many research projects depend on the development of scripts or other software to collect data, perform analyses or simulations, and visualize results. Working in a way that makes it easier for your future self and others to understand and re-use your code means that more time can be dedicated to the research itself, rather than troubleshooting hard-to-understand code, resulting in more effective research. In addition, by following some simple best practices around code sharing, the visibility and impact of your research can be increased. In this introductory session, you will:
- learn about best practices for writing, documenting (Documentation), and organizing code (Organization & Automation),
- understand the benefits of using version control (Version Control & Quality Assurance),
- learn about how code can be linked to research results and why (Context & Credit),
- understand why it is important to make your code publishable and citable and how to do so (Context & Credit),
- learn about intellectual property issues (Licensing),
- learn about how and why your software can be preserved over time (Archiving).
Preparing Your Data Management Plan
Grant proposals for a growing number of funders require data management plans, including the National Science Foundation. Developing a competitive data management plan requires understanding and effectively addressing the many aspects of research data management that funders and reviewers emphasize (e.g., plans for research data security, sharing, and documentation). Join Data Management Services for a training session on preparing data management plans. During this one-hour workshop, we will cover the research data questions one should answer in creating an effective, competitive plan. Participants will have an opportunity to ask data management and planning questions specific to their research.
ISRIC Spring School
The ISRIC Spring School aims to introduce participants to world soils, soil databases, software for soil data analysis and visualisation, digital soil mapping and soil-web services through two 5-day courses run in parallel. Target audiences for the Spring School include soil and environmental scientists involved in (digital) soil mapping and soil information production at regional, national and continental scales; soil experts and professionals in natural resources management and planning; and soil science students at MSc and PhD level. Examples courses include "World Soils and their Assessment (WSA) and Hands-on Global Soil Information Facilities (GSIF). Data management topics are included within the course topics.
ISRIC - World Soil Information Educational Videos
YouTube Channel of videos on various topics related to world soils data creation and management. Example categories of videos include Digital Soil Mapping; Screencast: How to use ISRIC's Soil Data Hub; Sustainable Soil Managment; and Global Soil Information Facilities.
NASA Earthdata Webinar Series
Monthly webinars on discovery and access to NASA Earth science data sets, services and tools. Webinars are archived on YouTube from 2013 to the present. Presenters are experts in different domains within NASA's Earth science research areas and are usually affiliated with NASA data centers and / or data archives. Specific titles for the current year's webinars can be found from the main page, but can also be found from separate pages for each year. These webinars are available to assist those wishing to learn or teach how to obtain and view these data.
NASA Earthdata Video Tutorials
Short video tutorials on topics related to available NASA EOSDIS data products, various types of data discovery, data access, and data tool demonstrations such as the Panoply tool for creating line plots. Videos accessible on YouTube from listing on main webinars and tutorials page. These tutorials are available to assist those wishing to learn or teach how to obtain and view these data.
ORNL DAAC Data Management Workshops
Educational workshops on various scientific data management best practices designed to (1) introduce new data collectors to best practices in data curation and (2) enhance the skillsets of experienced data providers. New workshops are added as they are made available.
Environmental Data Management Best Practices Part 2: Geospatial Data
This webinar is the second in a two-part webinar focused on Environmental Data Management Best Practices. The topic of this webinar is geospatial data, and is one of a series of educational workshops focused on best practices for and tips to best manage environmental research data presented by experts from the NASA's Distributed Active Archive Center for Biogeochemical Dynamics.
Environmental Data Management Best Practices Part 1: Tabular Data
This webinar is the first in a two-part webinar focused on Environmental Data Management Best Practices. The topic of this webinar is tabular data, and is one of a series of educational workshops focused on best practices for and tips to best manage environmental research data presented by experts from the NASA's Distributed Active Archive Center for Biogeochemical Dynamics.
Do-It-Yourself Research Data Management Training Kit for Librarians
Online training materials on topics designed for small groups of librarians who wish to gain conficence and understanding of research data management. The DIY Training Kit is designed to contain everything needed to complete a similar training course on your own (in small groups) and is based on open educational materials. The materials have been enhanced with Data Curation Profiles and reflective questions based on the experience of academic librarians who have taken the course.
The training kit includes:
- Promotional slides for the RDM Training Kit
- Training schedule
- Research Data MANTRA online course by EDINA and Data Library, University of Edinburgh
- Reflective writing questions
- Selected group exercises (with answers) from UK Data Archive, University of Essex - Managing and sharing data: Training resources. September, 2011 (PDF). Complete RDM Resources Training Pack available:
- Podcasts for short talks by the original Edinburgh speakers if running course without ‘live’ speakers (Windows or Quicktime versions).
- Presentation files (pptx) if learners decide to take turns presenting each topic.
- Evaluation forms
- Independent study assignment: Interview with a researcher, based on Data Curation Profile, from D2C2, Purdue University Libraries and Boston University Libraries.
LEARN Toolkit of Best Practice for Research Data Management
The LEARN Project's Toolkit of Best Practice for Research Data Management expands on the issues outlines in the LERU Roadmap for Research Data (2013). It is freely downloadable, and is a deliverable for the European Commission. It includes:
- 23 Best-Practice Case Studies from institutions around the world, drawn from issues in the original LERU Roadmap;
- 8 Main Sections, on topics such as Policy and Leadership, Open Data, Advocacy and Costs;
- One Model RDM Policy, produced by the University of Vienna and accompanied by guidance and an overview of 20 RDMpolicies across Europe;
- An Executive Briefing in six languages, aimed at senior institutional decision makers.
The Executive Briefing of the LEARN Toolkit is available in English, Spanish, German, Portuguese, French and Italian translations.
MANTRA Research Data Management Training
MANTRA is a free, online non-assessed course with guidelines to help you understand and reflect on how to manage the digital data you collect throughout your research. It has been crafted for the use of post-graduate students, early career researchers, and also information professionals. It is freely available on the web for anyone to explore on their own.
Through a series of interactive online units you will learn about terminology, key concepts, and best practice in research data management.
There are eight online units in this course and one set of offline (downloadable) data handling tutorials that will help you:
Understand the nature of research data in a variety of disciplinary settings
Create a data management plan and apply it from the start to the finish of your research project
Name, organise, and version your data files effectively
Gain familiarity with different kinds of data formats and know how and when to transform your data
Document your data well for yourself and others, learn about metadata standards and cite data properly
Know how to store and transport your data safely and securely (backup and encryption)
Understand legal and ethical requirements for managing data about human subjects; manage intellectual property rights
Understand the benefits of sharing, preserving and licensing data for re-use
Improve your data handling skills in one of four software environments: R, SPSS, NVivo, or ArcGIS
Data Skills Curricula Framework
The Data Skills Curricula Framework to enhance information management skills for data-intensive science was developed by the Belmont Forum’s e-Infrastructures and Data Management (e-I&DM) Project to improve data literacy, security and sharing in data-intensive, transdisciplinary global change research.
23 (research data) Things
23 (research data) Things is self-directed learning for anybody who wants to know more about research data. Anyone can do 23 (research data) Things at any time. Do them all, do some, cherry-pick the Things you need or want to know about. Do them on your own, or get together a Group and share the learning. The program is intended to be flexible, adaptable and fun!
Each of the 23 Things offers a variety of learning opportunities with activities at three levels of complexity: ‘Getting started’, ‘Learn more’ and ‘Challenge me’. All resources used in the program are online and free to use.