All Learning Resources

  • USGS Data Management Training Modules – the Value of Data Management


    This is one of six interactive modules created to help researchers, data stewards, managers and the public gain an understanding of the value of data management in science and provide best practices to perform good data management within their organization. In this module, you will learn how to: 1. Describe the various roles and responsibilities of data management. 2. Explain how data management relates to everyday work and the greater good. 3. Motivate (with examples) why data management is valuable. These basic lessons will provide the foundation for understanding why good data management is worth pursuing.

  • USGS Data Management Training Modules—Metadata for Research Data

    This is one of six interactive modules created to help researchers, data stewards, managers and the public gain an understanding of the value of data management in science and provide best practices to perform good data management within their organization. This module covers metadata for research data. The USGS Data Management Training modules were funded by the USGS Community for Data Integration and the USGS Office of Organizational and Employee Development's Technology Enabled Learning Program in collaboration with Bureau of Land Management, California Digital Library, and Oak Ridge National Laboratory. Special thanks to Jeffrey Morisette, Dept. of the Interior North Central Climate Science Center; Janice Gordon, USGS Core Science Analytics, Synthesis, and Libraries; National Indian Programs Training Center; and Keith Kirk, USGS Office of Science Quality Information.

  • USGS Data Management Training Modules – Planning for Data Management


    This is one of six interactive modules created to help researchers, data stewards, managers and the public gain an understanding of the value of data management in science and provide best practices to perform good data management within their organization. In this module, we will provide an overview of data management plans. First, we will define and describe Data Management Plans, or DMPs. We will then explain the benefits of creating a DMP. Finally, we will provide instructions on how to prepare a DMP, including covering key components common to most DMPs.

  • USGS Data Management Training Modules – Best Practices for Preparing Science Data to Share

    This is one of six interactive modules created to help researchers, data stewards, managers and the public gain an understanding of the value of data management in science and provide best practices to perform good data management within their organization. In this module, you’ll learn:

    The importance of maintaining well-managed science data
    Nine fundamental practices scientists should implement when preparing data to share
    Associated best practices for each data management habit

  • USGS Data Management Training Modules – Science Data Lifecycle

    This is one of six interactive modules created to help researchers, data stewards, managers and the public gain an understanding of the value of data management in science and provide best practices to perform good data management within their organization. By the end of this module, you should be able to answer the following questions…  What is a science data lifecycle?  Why is a science data lifecycle important and useful?  What are the elements of the USGS science data lifecycle, and how are they connected?  What are the difference roles and responsibilities?  Where do you go if you need more information?

  • USGS Data Management Training Modules – Planning for Data Management Part II

    This is one of six interactive modules created to help researchers, data stewards, managers and the public gain an understanding of the value of data management in science and provide best practices to perform good data management within their organization. By the end of this course you should know the difference between data management plans and project plans; you should know how to use the DMPTool to create a data management plan; and you should understand the basic information that should go into a data management plan.

  • Template Research Data Management workshop for STEM researchers

    These materials are designed as a template for an introductory Research Data Management workshop for STEM postgraduate students and Early Career Researchers. The workshop is interactive and is designed to be run for 2-3 hours depending on which sections of the workshop are delivered. As it is a template workshop there is a lot of material to cover all disciplines, it is unlikely that all sections would be of interest to any one group of researchers. The sections are:
    Introduction
    Backup and file sharing
    How to organise your data well
    Data Tools
    Personal and sensitive data
    Data sharing
    Data Management Plans

    The workshop works best when adapted for a particular discipline and with a maximum of 30 participants. This workshop was developed for the Data Champions programme at the University of Cambridge and is an adaptation of workshops which are run on a regular basis for PhD students and Postdoctoral researchers. If you would like any more information please email info@data.cam.ac.uk and we would be happy to answer any questions that you have.

  • Data Rescue: Packaging, Curation, Ingest, and Discovery

    Data Conservancy was introduced to Data Rescue Boulder through our long-time partner Ruth Duerr of Ronin Institute. Through our conversations, we recognized that Data Rescue Boulder has a need to process large number of rescued data sets and store them in more permanent homes. We also recognized that Data Conservancy along with Open Science Framework have the software infrastructure to support such activities and bring a selective subset of the rescued data into our own institution repository. We chose the subset of data based on a selection from one of the Johns Hopkins University faculty members.

    This video shows one of the pathways through which data could be brought into a Fedora-backed institutional repository using our tools and platforms

    Data Conservancy screen cast demonstrating integration between the Data Conservancy Packaging Tool, the Fedora repository, and the Open Science Framework. Resources referenced throughout the screen cast are linked below.

    DC Package Tool GUI

    DC Package Ingest

    Fedora OSF Storage Provider

    (under development as of April 2017)

  • 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 Eruopean 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.