All Learning Resources

  • DataONE Data Management Module 02: Data Sharing

    This 30-40 minute module introduces the concept of data sharing and discusses the value of open data as well as concerns surrounding data sharing. Methods for making data available are introduced and the model includes case studies.

  • DataONE Data Management Module 03: Data Management Planning

    This 30-40 minute module introduces the concept of data management planning, discusses requirements for data management plans (DMPs), details the critical features to be included in a data management plan and introduces tools for creating data management plans.

  • DataONE Data Management Module 01: Why Data Management

    This 30-40 minute module covers trends in data collection, storage and loss, the importance and benefits of data management, and an introduction to the data life cycle. 

  • 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 05: Data Quality Control and Assurance

    Types of data errors, best practices for data quality assurance and control to prevent and correct errors.

  • DataONE Data Management Module 06: Data Protection and Backups

    This module covers the difference between data protection, backup, archiving and preservation, best practices for backing up and preserving data. 

  • DataONE Data Management Module 07: Metadata

    Metadata defined, information included in metadata, selection of metadata standards, the value and utility of metadata. Best practices for writing high quality metadata. 

  • DataONE Data Management Module 08: Data Citation

    This module defines data citation, explains benefits of data citation, and provides examples and best practices for data citation. 
     

  • Mozilla Science Lab's Open Data Primers

  • Mozilla Science Lab Open Data Instructor Guides

  • 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 10: Legal and Policy Issues

    Legal and policy issues, copyright and licenses, data restrictions and ethical considerations. 

  • Preserving the Scientific Record: Case Study 1 - National Snow & Ice Data Center (NSIDC) Glacier Photos

    This training module is part of the Federation of Earth Science Information Partners (or ESIP Federation's) Data Management for Scientists Short Course.  The subject of this module is “Case Study 1 – National Snow & Ice Data Center (NSIDC) Glacier Photos".  The module was authored by Matthew Mayernik from the National Center for Atmospheric Research.  Besides the ESIP Federation, sponsors of this Data Management for Scientists Short Course are the Data Conservancy and the United States National Oceanic and Atmospheric Administration (NOAA).  This module is available in both presentation slide and video formats. 

  • Local Data Management - Data Formats: Using Self-describing Data Formats

    This training module is part of the Federation of Earth Science Information Partners (or ESIP Federation's) Data Management for Scientists Short Course.  The subject of this module is "Using Self-describing Data Formats".  The module was authored by Curt Tilmes from the National Aeronautics and Space Administration (NASA).  Besides the ESIP Federation, sponsors of this Data Management for Scientists Short Course are the Data Conservancy and the United States National Oceanic and Atmospheric Administration (NOAA).This training module is part of the Federation of Earth Science Information Partners (or ESIP Federation's) Data Management for Scientists Short Course.  The subject of this module is "Using Self-describing Data Formats".  In terms of scientific data within the Earth Science domain, self-describing data formats have become the accepted way of archiving and disseminating data.  The module was authored by Curt Tilmes from the National Aeronautics and Space Administration (NASA).  Besides the ESIP Federation, sponsors of this Data Management for Scientists Short Course are the Data Conservancy and the United States National Oceanic and Atmospheric Administration (NOAA).  This module is available in both presentation slide and video formats.

  • Preserving the Scientific Record: Establishing Relationships with Archives

    This training module is part of the Federation of Earth Science Information Partners (or ESIP Federation's) Data Management for Scientists Short Course.  The subject of this module is “Establishing Relationships with Archives".  The module was authored by Matthew Mayernik from the National Center for Atmospheric Research.  Besides the ESIP Federation, sponsors of this Data Management for Scientists Short Course are the Data Conservancy and the United States National Oceanic and Atmospheric Administration (NOAA).

    In this presentation we are going to talk about archives, what they do and how they work. We’ll talk about how it’s important for data to be archived formally within archives in order to be understandable and useable over a long time period. There are many data archives for Earth Science data, so there should be one or more that are particularly appropriate for your data.

    We will discuss a few ways that building relationships with archives happen, including discussions about what data you have, where your data will go and how you should go about getting set up with a data archive. This module is available in both presentation slide and video formats.   

  • Preserving the Scientific Record: Preserving a Record of Environmental Change

    This training module is part of the Federation of Earth Science Information Partners (or ESIP Federation's) Data Management for Scientists Short Course. The subject of this module is ìPreserving a Record of Environmental Change.î The module was authored by Matthew Mayernik from the National Center for Atmospheric Research. Besides the ESIP Federation, sponsors of this Data Management for Scientists Short Course are the Data Conservancy and the United States National Oceanic and Atmospheric Administration (NOAA). In this module, we will be discussing a category of the scientific record that is particularly important to preserve. This module is availablin in both presentation slide and video formats.   

  • Preserving the Scientific Record: Case Study 2 - Arctic Temperature Variability Data

    This training module is part of the Federation of Earth Science Information Partners (or ESIP Federation's) Data Management for Scientists Short Course.  The subject of this module is “Case Study 2 – Arctic Temperature Variability Data."  The module was authored by Matthew Mayernik from the National Center for Atmospheric Research.  Besides the ESIP Federation, sponsors of this Data Management for Scientists Short Course are the Data Conservancy and the United States National Oceanic and Atmospheric Administration (NOAA).In this module we are going to discuss how preserving a record of environmental change involves preserving natural artifacts as well as the measurements gathered from them, looking in particular at a case study of Arctic climate variability data.  In this case study, the data are proxy measurements not actual temperature readings.  The proxy measurements were used to produce a study of past climate variability.  These data were archived with the National Climatic Data Center (NCDC) and have been used as a basis for other studies. We will also discuss how data re-use requires long term archiving, and thorough documentation.  This modulle is available in both presentation slide and video formats.

  • The Case for Data Stewardship: Preserving the Scientific Record

    This training module is part of the Federation of Earth Science Information Partners (or ESIP Federation's) Data Management for Scientists Short Course.  The subject of this module is "Preserving the scientific record".  The module was authored by Matthew Mayernik from the National Center for Atmospheric Research.  Besides the ESIP Federation, sponsors of this Data Management for Scientists Short Course are the Data Conservancy and the United States National Oceanic and Atmospheric Administration (NOAA). In this module, we will be talking about what the scientific record is, why it’s important, and why and how preservation of this kind of data is important. This module is available in both presentation slide and video formats.

  • The Case for Data Stewardship: Enhancing Your Reputation

    This training module is part of the Federation of Earth Science Information Partners (or ESIP Federation's) Data Management for Scientists Short Course. The subject of this module is "Enhancing Your Reputation." This module was authored by Matthew Mayernik from the National Center for Atmospheric Research. Besides the ESIP Federation, sponsors of this Data Management for Scientists Short Course are the Data Conservancy and the United States National Oceanic and Atmospheric Administration (NOAA). In this module, we’re going to talk about reputation, that is, why reputation is important. In particular, we’ll talk about how reputation is important in the context of data management, as well as some other important aspects of reputation. This module is available in both presentation slide and video formats.

  • Agency Requirements: NASA Data Management Plans

    This training module is part of the Federation of Earth Science Information Partners (or ESIP Federation's) Data Management for Scientists Short Course.  The subject of this module is “Case Study 2 – Arctic Temperature Variability Data."  The module was authored by Matthew Mayernik from the National Center for Atmospheric Research.  Besides the ESIP Federation, sponsors of this Data Management for Scientists Short Course are the Data Conservancy and the United States National Oceanic and Atmospheric Administration (NOAA). In this module, we will be giving you specific information about what kinds of requirements the National Aeronautics and Space Administration (NASA) has for data management plans (DMPs).   The goal of this module is not to take a step by step walk through of the process of creating a NASA approved data management plan.  Rather, we plan to give you an overview of what NASA is looking for and, more importantly, places to go to get more information.  This module is available in both presentation slide and video formats.