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Research Data Services

Data Management Services Overview

The goal of data services librarian is to develop and promote library services related to the best data management practices, data management plans, data storage and preservation, and data documentation. He collaborates with a network of partners to facilitate access to and use of data resources across disciplines and provide support for data-driven research.

General areas to focus on:

  1. Service  - active library engagement with faculty/researchers and students
  1. Help/ask librarians through online chat, phone, or e-mail 
  2. Provides instructions for procedures about data deposit 
  3. Assistance with data management planning (DMPs)
  4. Data lifecycles: from search, use/reuse, data management and preservation


  1. Information - the content provided on the LibGuide 
  1. Background information (importance of DM and planning of DM)
  2. Data documentation       (organization, metadata, workflow, software)
  3. Data administration       (confidentiality, storage, preservation)
  4. Data use and reuse        ( data search, citation, publishing)
  5. Data sharing                   (digital identifiers) 
  6. Requirements by funding agencies (NSF, NIH)


  1. Education - educational activities  
  1. Classes -  Education Modules
    1. Why Data Management
    2. Data sharing
    3. Data Management Planning
    4. Data Quality Control and Assurance
    5. Protecting Your Data
    6. Metadata
    7. Data Citation
    8. Legal and Policy Issues
  2. Workshops – Data Management short courses   
  1. The importance of creating DMP:
  2. Components of DMP:
  3. Types of data in DMP:
  4. Agency requirements for DMP:
  5. Backing up your data:
  6. Assign descriptive file names:


  1. Network –  connection to internal or external resources such as:
  1. Texas Data Repository (TDR) 
  2. Data repositories center   
  3. TWU Center for Data Analysis (CRDA)
  4. TWU Office of research –
  5. Tools to help researchers write a data management plan- DMPTool 


This guide is modeled after and inspired by data management guides at: