Data Management

Learn about how data curation adds value when sharing research data. ScholarlyCommons new data curation service is here to support high quality data sharing by University of Pennsylvania researchers.

Researcher collecting data from a survey grid on Pitamakan Peak in the Two Medicine region of the park for the Global Observation Research Initiative in Alpine Environments (GLORIA) project.

Understand the Research Data & Digital Scholarship (RDDS) departments workflow to review Data Management Plans.

Research Data & Digital Scholarship DMP Review Workflow

Wrangling your data with various tools allows you to restructure information so that it can be easily understood by people and analyzed by machines. Want to efficiently clean your data? In this workshop, we worked with OpenRefine, a powerful tool for working with data. Watch the tutorial to learn more about tidying your data, transforming it from one format to another, and extending it with various web services. This workshop is part of the (Open) Data Jam hosted by the Libraries' Research Data and Digital Scholarship unit.

A slide entitled 'The Data Wrangling Process.' The slide displays a line with six points on it, from left to right: Discovering, Structuring, Cleaning, Enriching, Validating, and Publishing. Each term also includes a description.

Tag: Data Management

Introduction to Data Curation

Reviewing a Data Management Plan: The RDDS Workflow

Data Wrangling with Open Refine