ESIP Data Management for Scientists Short Course

  • 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.

  • 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.

  • 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.

  • Elements of a Data Management Plan: Organization and standards

    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).   This modules is available in both presentation slide and video formats.

    The purpose of this module is to introduce you to the range of topics related to data organization and standards that may be important for you to address in your data management plan.  We say may be important because just as every research project is different, so every data management plan needs to be different to accommodate the particular needs of that project.  This means that some topics on data organization and standards will be more important to think about and describe in your data management plan than others.  Which topics are more important will depend on the size, scale, complexity and other details of your project that differentiate what you are doing from what others are  doing.  So… no, unfortunately, there isn’t a one-size-fits all data management plan!