Skip to Main Content

Research Data Management (RDM): Slide presentations


In this section you will find slides from different presentations offered by the library on research data management. 

Finding & Reusing Data

Available data for research has always existed. However, how can you be sure that the data is "good enough", and how do you know what you can do with the data? In this practical workshop, you will learn about specific data repositories, evaluation strategies, and policies for data reuse.

Storage Strategies

Have you ever asked yourself questions like: How long should I keep the data and documentation from my research project? Where should I store it? What security practices should I implement to guarantee that the files remain accessible and unaltered over time? This practical workshop discusses storage options, retention policies, and strategies for long-term preservation.

Organize, standardize and control your files

Our computers can become a mess of thousands of documents with different names and versions distributed in all places and possibly multiple copies located on various storage media. A good practice of data management is to organize and name files in a consistent manner in order to make them easier to find. This practical workshop discusses various nomenclature and version control conventions, suggestions for structuring directories, and tools that can help you make these tasks easier.

10 things to consider before you begin your research

In the last few years, a switch in perspective has occurred where research data is no longer relegated to being a mere byproduct of research. Datasets are now seen as an important product that can have a useful life long after completion of the project where it was originally generated. However, how can we continue to foster this? In this workshop, you will learn the basic elements you must take into consideration before starting your research in order to make sure that, when you finalize your project, your data can be found, used, and reused without problems.

Introduction to Data Management: Best Practices

Establishing responsible practices for research data management provides multiple long/short term benefits for all parties, whether they be funders, creators, or users. In this workshop, you will have the opportunity to learn about best practices related to document organization, storage, security, and intellectual property, with the purpose of enhancing access to your research data and facilitating its preservation.

Introduction to Data Management: Dissemination

In this day and age, publishing your research results in an article is not enough. More and more frequently, funding entities and academic journals are requesting that researchers openly share their data. In this workshop, you will learn about data sharing requirements, the importance of research data dissemination, steps to take to ensure effective data sharing, and options for depositing and citing data. Additionally, we discuss the main concerns of investigators when it comes to sharing their data.

Charla: Data Management Planning

We present a summary of factors and elements to consider when preparing data management plans, which are often required as part of proposals submitted to request federal funding from agencies like NSF, NIH, NIFA, and others. Also, information is provided on how to use the Data Management Planning Tool (DMP Tool) and the benefits this platform provides.

RDM Basics: An Introduction to Research Data Management Best Practice

Funding agencies have sought to maximize the value of research by requiring investigators to manage and share their data with the larger public. Also, data is gaining wider recognition as a valuable research product in itself, and is being included more often alongside published articles. With this in mind, researchers need to gain a solid understanding of data management best practices and incorporate them into their workflow. In this workshop, we discuss RDM practices that can help you be more organized and efficient in your research process, as well as facilitate collaboration through data sharing.