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Research Data Management (SC)

Data Management

 

What is Data Management?

This guide is focused on digital research data, defined by the DISC-UK DataShare Report (p.16) as:

"That which is collected, observed, or created, for purposes of analyzing to produce original research results. 

Research data may be created in tabular, statistical, numeric, geospatial, image, multimedia or other formats."

Data management encompasses the processes surrounding collecting, organizing, describing, sharing, and preserving data.

 

DDI version 3.0 Combined Lifecycle Model

 

 

 

 

 

 

DDI version 3.0 Combined Life Cycle Model

 

Why is data management important?

Effective and efficient data management practice begins at the research planning stage.

  • Save time by having a plan in place for your data from the beginning of your project
  • Comply with legal and funder requirements
  • Increase the visibility and impact of your research by making your data searchable and citable
  • Support open access and foster new research by preserving your data and making it accessible to other researchers

 

Content used with permission from the University of Washington Libraries

ORCID identifiers

 

ORCID provides a persistent digital identifier that distinguishes you from other researchers and can be integrated in key research workflows such as manuscript and grant submissions.​

  • Register...Get your unique ORCID identifier (takes less than a minute!)

  • Add Your Info...Enhance your ORCID record with your professional information and link to your other identifiers (such as your ResearcherID)

  • Use Your ORCID ID...Include your ORCID identifier on your Webpage, when you submit publications, apply for grants, and in any research workflow to ensure you get credit for your work.

Have questions?

Andrea Baruzzi

Science Librarian 

abaruzz1@swarthmore.edu / 610.328.7685

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Simon Elichko

Social Sciences & Data Librarian

selichk1@swarthmore.edu / 610.690.5786