All Learning Resources

  • 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: 
    http://data-archive.ac.uk/create-manage/training-resources
    - 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.

  • Mozilla Science Lab's Open Data Primers

  • Structuring and Documenting a USGS Public Data Release

    This tutorial is designed to help scientists think about the best way to structure and document their USGS public data releases. The ultimate goal is to present data in a logical and organized manner that enables users to quickly understand the data. The first part of the tutorial describes the general considerations for structuring and documenting a data release, regardless of the platform being used to distribute the data. The second part of the tutorial describes how these general consideration can be implemented in ScienceBase. The tutorial is designed for USGS researchers, data managers, and collaborators, but some of the content may be useful for non-USGS researchers who need some tips for structuring and documenting their data for public distribution.

  • Research Data Management and Access: The Basis for Preserving and Providing Access to Research Data

    Brief introduction to research data preservation; research data management (RDM), including curation, documentation, metadata, and controlled vocabulary; and data access.

  • Persistent Identifiers: Current Features and Future Properties (Webinar)

    This webinar is for people who know what persistent identifiers are, but are interested in knowing much more about what you can actually do with them. In other words, what are the services that are being built on top of identifier systems that could be useful to the digital preservation community? We will cover topics such as party identification, interoperability and (metadata) services such as multiple resolution. Following on from that, we will explain more about the next generation of resolvers and work on extensions, such as specification of the URN r-component semantics.

    This part 2 of a 3 part series.

  • Persistent Identifier (S)election Guide (Webinar)

    Cultural heritage organisations, regardless of size, are often hesitant to implement PIDs. They lack knowledge of what PIDs are, don’t know about their capabilities and benefits, and fear a possible complex and costly implementation process as well as the maintenance costs for a sustained service. The Digital Heritage Network and the Dutch Coalition on Digital Preservation addresses these issues in three ways:

    By raising awareness of (the importance of) PIDs in cultural heritage organisations.
    By increasing the knowledge regarding the use of PIDs within cultural heritage.
    By supporting the technical implementation of PIDs in cultural heritage collection management systems. How we did this on a nationwide scale will be explained in the webinar.

    There are multiple PID systems. But which system is most suited to your situation: Archival Resource Keys (ARKs), Digital Object Identifiers (DOIs), Handle, OpenURL, Persistent Uniform Resource Locators (PURLs) or Uniform Resource Names (URNs)? Each system has its own particular properties, strengths and weaknesses. The PID Guide from the Digital Heritage Network’s Persistent Identifier project helps you learn and think about important PID subjects, and guides your first steps towards selecting a PID system.

    This is part 3 of a 3 part series.

  • Research Data Management and Open Data

    This two-day workshop combines both presentations and interactive activities, exercises, and discussions, will provide Ph.D. students with practical skills directly applicable to their own research. Drawing on a wide range of data – both quantitative and qualitative – the workshop will address the following key topics in data management:

    • Documentation and contextual description
    • Ethical and legal aspects of managing and sharing sensitive data
    • Anonymising research data for reuse
    • Writing a data management plan
    • Data handling (e.g. file organisation and data storage and security)
    • Data preparation

    By the end of the workshop, participants will know how to apply good data management practices in their own research and will be able to work more efficiently and effectively with data individually or as part of a research team, where data are often co-produced and shared.

    From the Agenda on the home page, the PDF, text, and Epub versions of these slide presentations can be accessed by clicking on the link for each presentation.

  • GeoMapApp Learning Activities Collection

    GeoMapApp Learning Activities are web-based, high-impact, ready-to-use learning modules. They are aimed at the K-12, community college and introductory university level. Each learning activity provides hands-on participation that allows students to enhance their learning experience through the exploration of geoscience data in a map-based setting. They range from short in-class activities to multi-class modules covering broader content.

    GeoMapApp Learning Activities are tied to ESLI and NYS STEM and PS:ES standards and have a standard format:

    Title, summary, intended learning outcomes
    Prep time, grade level, required prior knowledge
    ESLI and NYS standards and NY Regents questions
    Step-by-step guide and teacher tips
    Student instructions and "grading-friendly" answer sheet
    Pre- and post- student quizzes
    Ideas for further knowledge gain

    GeoMapApp is an earth science exploration and visualization application that is continually being expanded as part of the Marine Geoscience Data System (MGDS) at the Lamont-Doherty Earth Observatory of Columbia University. The application provides direct access to the Global Multi-Resolution Topography (GMRT) compilation that hosts high resolution (~100 m node spacing) bathymetry from multibeam data for ocean areas and ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) and NED (National Elevation Dataset) topography datasets for the global land masses.  

  • GEOMAPApp Tutorials

    The video tutorials are available from the home page under the general topics listed below, and also on the GeoMapApp YouTube channel at:  http://www.youtube.com/user/GeoMapApp.  The tutorials demonstrate how to perform common tasks with GeoMapApp.  Full information on the functions is giving in the User Guide, available at:  http://www.geomapapp.org/GMA/newHelp/index.html.  General topics include:
     - Introduction
     - Import Your Own Data
     - Analyze Data
     - Working with Gridded Data
     - Available Data and examples
     - Portals (including, for example Ocean Floor Drilling, Multibeam Swath Bathymetry DAta, Seismic Data, Earthquake data)
     - In-Depth Webinars

    GeoMapApp is an earth science exploration and visualization application that is continually being expanded as part of the Marine Geoscience Data System (MGDS) at the Lamont-Doherty Earth Observatory of Columbia University. The application provides direct access to the Global Multi-Resolution Topography (GMRT) compilation that hosts high resolution (~100 m node spacing) bathymetry from multibeam data for ocean areas and ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) and NED (National Elevation Dataset) topography datasets for the global land masses.  

  • GeoMapApp Education Resources

    From this home page, a variety of GeoMapApp-related education activities and resources is available. The educational materials target audiences ranging from middle school and high school level to the undergraduate and graduate level.  Resources available include, for example:  mini lessons, GeoMapApp learning activities, data exercises and tutorials.  

    GeoMapApp is an earth science exploration and visualization application that is continually being expanded as part of the Marine Geoscience Data System (MGDS) at the Lamont-Doherty Earth Observatory of Columbia University. The application provides direct access to the Global Multi-Resolution Topography (GMRT) compilation that hosts high resolution (~100 m node spacing) bathymetry from multibeam data for ocean areas and ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) and NED (National Elevation Dataset) topography datasets for the global land masses.  

  • Escaping Datageddon

    Slide share presentation of information presented to university graduate students on the importance of data management presented as part of the University of Wisconsin, Madison Graduate Support Services.