Research Data Management

Research Data Management (RDM) is the process of organizing, documenting, storing, and preserving data from any point in the research process. Proper RDM is an essential component in open science and reproducibility and is increasingly required by granting agencies and publishers. As an essential research practice, RDM covers a lot of ground, including:

  • Data Management Plans (DMPs) and less formal considerations for data management and organization during the research design process
  • Organization, storage, and backup for data and sources during the collection and analysis phases
  • Preparing and uploading data, README files, Codebooks, and related documents for sharing data and publications in data repositories 

RDM best practices and tools can be applied to both quantitative and qualitative data, whether analyzed using the most advanced statistics of the day, close reading, and/or text analysis and other digital humanities methods.  

Yale’s RDM Librarian is here to help!

Brandon J. Miliate, Yale’s new- and first ever!- Research Data Management Librarian is available to help you with any and all RDM-related questions. Click the button below to schedule a consultation with him, or email brandon.miliate@yale.edu.

Make an Appointment with Yale's RDM Librarian

Check out this excellent introduction to research data management organized by the Data-Intensive Social Science Center (DISSC) and the Computational Data and Methods Team at Yale University Library:

Introduction to Research Data Management

Download the RDM @Yale Checklist using the button below, so you can check out and find links to all the resources and best practices in research data management that Yale University Library has to offer.

RDM Basics Checklist

Learn More

The Yale University Library maintains research data management guides filled with tools, resources, and helpful URLs for learning about specific aspects of RDM, including funding mandates, discipline-specific metadata standards, and how to write a data management plan. 

Create a data management plan


Yale researchers may use the Data Management Planning Tool (DMPtool) to create, review, and share data management plans that are in accordance with institutional and funder requirements.

The Registry of Research Data Repositories provides a fast and easy way to determine if your data is appropriate for a repository.
 

Contact centers, initiatives, and staff who support researchers and their data

Quick Links