Data Management

We help faculty, student, and staff researchers to organize, analyze, store, and share their research data.  We can help prepare data management plans (DMPs) for grant proposals, consult on best practices for storage and preservation, help optimize sharing and discovery of data, and assist with your data visualizations.  We work with ITS, OSP, and others to advance research data management at Dartmouth College.

Contact us directly for assistance:

• The Library:  ResearchDataHelp@groups.dartmouth.edu

• ITC - Research Computing: research.computing@darmouth.edu

• Office of Sponsored Projects: sponsored.projects@dartmouth.edu

Write a Data Management Plan

• Create a data management plan with the DMPTool

• Meet funder requirements

• Request a DMP review

Find Data

• Discipline specific help

• Data repositories

Organize and Analyze Data

• File naming and organization

• Cleaning data

• Visualizing data

Store Data

• File sharing and data storage from ITS

• Preservation for long-term access

• Dartmouth Policy on Data Retention

Share Data

• Find data centers or repositories

• DOIs for Datasets from EZID

• Data citation

• Licensing your data

Services

• Instruction

• Individual consultations

• Workshops

Dartmouth guide to data management, from OSP, ITC's Research Computing and the Library

DMPTool   An online tool to help you write a data management plan.  Select "Get Started", locate Dartmouth in the pull down menu, and access Dartmouth specific information and help, along with templates from funding agencies, models and advice. 

Dartmouth's slide show on data management plans

RSTOR at Dartmouth (Research Computing Data Storage)

Field specific guidelines:

ICPSR Guidelines for Effective Data Management Plans

NSF Requirements for Data Management Plans

Tools for data management and citation:

1. DOIs for Datasets from DataCite

DOIs are persistent identifiers that allow your completed datasets and other types of research outputs to be cited in a consistent manner.  Correct attribution is much more likely when DOIs are part of a citation. Persistent identifiers ensure access to the material no matter where the content is hosted, throughout changes in the hosting web site as long as the owner updates the hosting site information. The Dartmouth Library has an institutional membership with DataCite that makes it easy to create and register DOIs using DataCite's metadata structure. Contact barbara.defelice@dartmouth.edu if you are interested in assigning DOIs to your datasets.

2. ARKs (Archival Resource Key)

ARK is a type of persistent identifier for all kinds of content.  ARKs are particularly useful for Digital Humanities projects.  The Dartmouth Library has an institutional license with CDL's EZID to assign sponsored accounts for particular projects that would benefit from persistent identifers.  Contact barbara.defelice@dartmouth.edu if you are interested in having a sponsored account to assign ARKs to your materials.

3. Measuring Impact of Data

• How to Track the Impact of Research Data with Metrics 
• This easy to follow guide from the Digital Curation Centre (DCC) covers the key points and tools for making data reusable and tracking that use. 
• The Make Data Count Project is working towards standard ways to develop and provide usage data for datasets. 

• University of California, San Diego Data Management Plans from Research Cyberinfrastructure 

• University of California Los Angeles Data Tools and Mangement Plans for the Digital Humanities

• University of Connecticut University Libraries  Data Management Plans for Grant Funded Projects (NSF, NIH)

• Duke University Libraries Research Data Planning at Duke

• University of Hawai’i at Manoa Library Data Managment Plans

• University of Minnesota Library Managing Your Data

• MIT Libraries Manage Your Data: Data Management Subject Guide

• University of North Carolina at Chapel Hill Libraries Research Data Toolkit Resources for Writing a Data Management Plan

• Purdue University Distributed Data Curation Center

• University of New Hampshire Data Managerment Guide

• University of Virginia Library Making Data Management Easier

• University of Wisconsin Research Data Services

• Australian Data Management: Guides, Tools and Models