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 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 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. 

  • Mozilla Science Lab's Open Data Primers

  • Mozilla Science Lab Open Data Instructor Guides

  • 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.

  • Agency Requirements: NSF 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 "NSF Data Management Plans".  The module was authored by Ruth Duerr from the National Snow and Ice Data Center in Boulder, Colorado.  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).

    If you’ve done any proposal writing for the National Science Foundation (NSF), you know that NSF now requires that all proposals be accompanied by a data management plan that can be no longer than two pages.   The data management plans are expected to respond to NSF’s existing policy on the dissemination and sharing of research results.  You can find a description of this policy in the NSF Award and Administration Guide to which we provide a link later in this module. In addition, we should note that the NSF’s proposal submission system, Fastlane, will not accept a proposal that does not have a data management plan attached as a supplementary document.

    Individual directorates may have specific guidance for data management plans. For example, the Ocean Sciences Division specifies that data be available within two years after acquisition. Specifications for some individual directorates may provide a list of places where you must archive your data and what you should do if none of the archives in the list can take your data. They may also have additional requirements for both annual and final reporting beyond the general case requirements from NSF.  In addition, individual solicitations may have program specific guidelines to which you need to pay attention.  This module is available in both presentation slide and video formats.

  • Responsible Data Use: Citation and Credit

    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 "Citation and Credit".  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 talk about issues related to citation, specifically data citation, about receiving credit for research work done with scientific data,  how these two concepts are related to each other, and why they are especially important today.   This module is available in both presentation slide and video formats.

  • Data Management Plans: Elements of a Data Management Plan

     
    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 "Elements of a Data Management Plan".  The module was authored by Ruth Duerr from The Ronin Institutue.  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 the module "Why Create a Data Management Plan?” we learned that it is just as important to plan how you will manage your data as it is to plan the rest of your research activities.  Given that, your next question is likely to be “Well what should be in a data management plan?”  Answering that question, at a high level, is the purpose of this module.  In the following slide we give a brief description of each of the components or elements of a plan.  This module is available in both presentation slide and video formats.

  • Data Management Plans: Why Create a Data Management Plan?

    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 "Why Create a Data Management Plan?"  The module was authored by Ruth Duerr from The Ronin Institute.  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’ll  very briefly review what a Data Management Plan is, followed by a discussion of our top three reasons for creating a data management plan.  These reasons are:  

    First, that proper data management planning should make your work easier and possibly even cheaper than if you had handled your data in an ad-hoc fashion throughout your project;  Second, handling your data properly and documenting them well, can actually improve your standing with your users and with your colleagues, most importantly,  and Last and perhaps least, because your funding agency says that you must.  Hopefully, by the end of this module you will become convinced that while funding agency requirements may be the stick making you create data management plans now, creation of the plans has actually been in your best interest all along.  This module is available in both presentation slide and video formats.

  • Elements of a Data Management Plan: Identifying the materials to be created

    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 "Identifying the Materials to be Created".  The module was authored by Ruth Duerr from The Ronin Institute.  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). 

    As discussed in the module “Data Management Plans: Elements of a Data Management Plan”, your data management plan needs to discuss the type or types of data that will be produced over the course of your research.  This module is available in both presentation slide and video formats.