Skip to end of metadata
Go to start of metadata

You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 18 Next »

In this module we will discuss data management for research workflows, why it’s important, and introduce how you can use ARCC resources to manage your data. This page give background information for future topics, if you are looking for specific examples, please head back to the main Data Management page to navigate to other pages.

It is also important to note that the content of these pages are general suggestions ans guidelines to assist in your research workflows. The content is NOT rules or requirements for using ARCC resources during your research project.



Research Data Life-cycle

The Life-cycle of data in a research project can be broken down into multiple phases. These phases can be thought of as distinct phases, but often blend into each other with little to distinguish the differences between them. Below we provide details and guidelines for each phase.

 

ResearchDataLife.png

The Planning Phase

Data Management Planning is an often overlooked, but critical phase of the Research Data Management Life-cycle. Not only will it be useful for the execution of your research project, a formalized plan is often required by funding agencies such as the National Science Foundation (NSF) and National Institutes of Health (NIH) among many others. The planning phase of the research data life-cycle usually comes after a research project has been conceptualized but before a the project is underway (or even funded), but can always be re-visited in an informal manner. It is important to consider a variety of things during this phase as well as establish goals for your data:

  • What kind of data is required to answer our research question?

  • What file formats will be collected?

  • Is there a particular software needed in the other phases that requires the data to be formatted in a particular way?

  • Are there any federal compliance requirements?

  • How will the data be stored and protected prior to analysis?

  • Will the data be preserved or discarded after the project is complete?


How ARCC Can Help With Planning

ARCC is a good resource for many of the phases in the Research Data Management Life-cycle, but in the planning phase, is a bit more limited in scope. That said, there are some things researchers can interact with ARCC on in forming this plan:

  • The ARCC documentation and polices can provide researchers with much of the background information required about resources available

  • ARCC resources are described in a Facilities Statement

  • ARCC is always willing to meet with researchers to discuss any Data Management issues by scheduling through our ticketing system

  • We work closely with UWyo Libraries, who are well versed in Data Management and can refer to them for more nuanced questions

    • They also administer the UWyo instance of a Data Management Planning Tool called DMPTool, which can be very useful for writing data management plans

    • They also have resources available for publishing research data, which will be discussed later in this module


The Collection Phase

There are multiple types of data and collection of these data vary greatly depending on the kind of research being done.

Two Column Tables are nice ways to separate content/ Background info along with an image example on the same “Slide”. Please notice the table width. This should stop scroll bars from appearing

  • Bullets are nice to include for distinct points

  • yep

  • they

  • sure

  • are

    This is 14 lines

 


How ARCC Can Help With the Collection Phase

 

image-20240514-000127.png

The Storage Phase


How ARCC Can Help With the Storage Phase


The Analysis Phase


How ARCC Can Help With the Analysis Phase


The Publishing Phase


How ARCC Can Help With the Publishing Phase


Next Steps

Link to Previous sub-module or Home Module

 

Align left link to next sub-module or home

  • No labels