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Research Data Management at CSHL: Home

An Overview of Research Data Management

This guide provides information on:

Research Data Management (RDM) is the process of working with data throughout the research lifecycle. RDM involves four components: planning, organization, storage, and sharing. RDM is an iterative process that is best begun early and throughout the research process. The information in this guide will help you develop a system to manage your data and save you time, facilitate your research, increase your impact, and meet funder and publisher requirements. 

The CSHL Library provides support for each RDM component throughout the research data lifecycle.

How the CSHL Library Helps through the Research Data Lifecycle

Why manage and share your data?
  1. To increase your research impact and recognition by making your data FAIR (Findable, Accessible, Interoperable, Reusable).
  2. To save time and effort by planning ahead and making your research more efficient and organized.
  3. To "future-proof" your data by making it secure and accessible over time. 
  4. To meet funder mandates that require clear plans for data management and sharing.
  5. To promote scientific advancement by facilitating access to data to be used in new ways. 


The CSHL Library's role in  research data management

The CSHL library provides RDM education, expertise, and curation services. While there is no "one size fits all" strategy, there are commonly accepted best practices associated with each component of data management. Our services help you adopt these practices, and customize your own data management strategy.

CSHL Library RDM Services include:

  • Assistance creating Data Management Plans required by many funding agencies.   
  • Training and providing consultations for individuals, labs, or other groups to help you develop systems and adopt best practices for data organization, storage, and sharing based on your needs. 
  • Data curation services including assistance choosing data copyright licenses, developing metadata and other data documentation, choosing and creating submissions to domain-specific repositories. 
  • Assistance submitting data and other research products to our institutional repository to enhance the discoverability and impact of your data by. Our libguide provides more information on our repository.

General Research Data Management Resources:

Free courses / tutorials on data management best practices:


Contact us so that we can support your research data management needs; X6872

Or visit us at the Carnegie Building (#6 on the CSHL map)