At a glance

Branner Earth Sciences Library & Map Collections

Data management services

Stanford University Libraries is available to assist you with your data managment needs. Consulting with us can help you better understand how to:

  • Prepare your data management plan
  • Get access to campus computing resources for storing your data
  • Determine the best ways to manage your data
  • Help you share your data
  • Preserve your data for the long term

Contact us at ask-data-services@lists.stanford.edu for questions or help or visit the Data Management Services website.

Recent Stanford Digital Repository news

Image of maps created with the use of the Stanford Education Data Archive
Educational opportunity is an important issue in a democratic society. In the United States, measuring educational achievement and opportunity is complex because the public education system is diffuse. Funding for public education depends on a combination of local, state and federal governing bodies. The variations in funding and community level support for public education and standardized testing makes comparisons and analysis across the U.S. an arduous task. 
 
This is why the Stanford Digital Repository (SDR) deposit of the week is critically important to note. Stanford University Professor, Sean Reardon and his colleagues have just deposited the Stanford Education and Data Archive (SEDA) into the SDR for long term preservation. This is a data set that includes 215 million test scores and tackles the difficulty of comparing test score data from every public elementary and middle school in the United States for a period of 5 years, (2009-2012). What's brilliant about this collection of data is that, Reardon and his team developed a method to equate the scores across states for comparison enabling a whole new set of questions on educational opportunity to be answered, new stories to be told, and new questions to be raised.
 
Screenshot of Disputed Boundaries data set

It's one thing to talk about an area of land under dispute, and it's another thing entirely to see it on a map. Professor of Political Science Kenneth Schultz demonstrates the validity of this statement with his recent work, "Mapping Interstate Territorial Conflict," which was published in December in the Journal of Conflict Resolution.

Hatef Monajemi

Many scientists are making the reproducibility of their research a much higher priority these days than they used to. But it's a time consuming task, which means that many are searching for tools and workflows to help facilitate their efforts.

Hatef Monajemi, a PhD student in Civil and Environmental Engineering, and his PhD advisor Professor David L. Donoho, have developed a new piece of software that can make reproducibility an easier goal to achieve. His new software is called Clusterjob (CJ). This software can be used to develop reproducible computational packages and make the generation of data for a research study fully reproducible. CJ is an open-source software available on GitHub.

DMP Tool / Amy Hodge