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Research Data Management at CSHL: Home

What is research data?

National Institutes of Health defines research data as: "Recorded factual material commonly accepted in the scientific community as necessary to document and support research findings."

Why do we need research data management?

We need research data management to be able to evaluate complex data throughout the lifetime of the research life cycle. More importantly, funders such as NIH and the NSF are making RDM a priority and implementing mandates for sharing and disseminating data.

Our Goal: The CSHL library is here to provide education, expertise, and curation services; to allow for more effective research at the front (Stage 1) and back (Stage 3,4) ends of the research data lifecycle. However, we understand there are legitimate researcher concerns when it comes to research data management. We hope that through our services we can alleviate some of these concerns.

Researchers concerns / motivations involving research data management:

Reported from Digital Science Report: The State of Open Data 2019: A selection of analyses and articles about open data, curated by Figshare (October 2019) doi:

Introduction to Data Management

Data management is "the development, execution and supervision of plans, policies, programs and practices that control, protect, deliver and enhance the value of data and information assets". The goal is to make doing research easier and more effective.

In a scientific, academic setting this means developing plans and policies for not only post-data management, but how data generated in the laboratory, as a result of experimentation, is stored and saved so it can be used and more easily understood by scientists other than those that originally generated it.

Initiating and being consistent in all phases of data management will provide you (the researcher) and the rest of the science community with significant tools in accessing the data life cycle.

Benefits of Research Data Management:
  • Saves times and resources by planning ahead
  • Makes it easier to generate the information required for publication
  • Increases the discoverability and shareability of the data in your publication .
  • Decreases the likelihood of catastrophic data loss
  • Discourages unintentional redundancy
  • Meets important funder mandates and grant requirements
  • Saves everyone time and money
  • Preserves your data
  • Maintains data integrity
  • Supports data sharing policies
  • Ultimately increases research impact and recognition
Our role in the CSHL research data management community:

Please do not hesitate to contact us (contacts below) for anything related to research data management

  • Provide Education: Informative sessions, LibGuides, Future customized DMPs
  • Provide Expertise: Feedback on DMPs, One on One consultation
  • Provide Curation Services: Provide DOIs, licenses, deposit data (of all types) into our own institutional repository.    Discuss open access compliance, author's rights.



Free courses / tutorials aimed to teach the best practices for data management:


What RDM services do CSHL researchers need?

Please feel free to contact the library to identify the next generation of research data management services

General:; X6872
Adrian Gomez, Science Informationist,; X6987

OR please come visit us at the Carnegie Library (Building #6 on the CSHL map)

Additionally, the NIH is currently drafting a data management and sharing policy.

They want to hear from you! Submit comments / feedback by Jan. 2020

Science Infomationist

Adrian Gomez's picture
Adrian Gomez
Library & Archives
Cold Spring Harbor Laboratory
1 Bungtown Road
Cold Spring Harbor, NY 11724