[Coil-l] OK-ACRL pre-conference Library Carpentry workshop: Tidy Data and OpenRefine

[Ashley Bean]

OK-ACRL invites all members to register for a pre-conference Library Carpentry workshop<https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fokacrl.wufoo.com%2Fforms%2Fz1hgyarf14hculo%2F&data=05%7C01%7Cjamie.holmes%40tulsacc.edu%7Cd781c1a1a12840899bb508dab5f91ca8%7Ceb5d9dc493c645578c2390ef7fa05b96%7C0%7C0%7C638022378794577820%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=u%2BDipQto16e2UnrPnCo8VCYodMKQR2LqkeUfYuvWUaQ%3D&reserved=0> on Tidy Data and OpenRefine, to be held on Thursday, November 10 from 9:00-12:00. This workshop is open to everyone, regardless of experience level. OK-ACRL is not charging a registration fee for this class. However, we are accepting a suggested donation of $5 to the OK-ACRL Endowment<https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefense.com%2Fv3%2F__https%3A%2Fwww.okacrl.org%2Fendowment%2F__%3B!!GNU8KkXDZlD12Q!9X_qlX0JYra-x4EYtWqmiN9wWcQgoT5nNuE6ZpWC8tWoEPN4RxgFEif8PzzVUWoxJGeRs-pErGnrcitMRj5ok_gLwWVrzgreJkI%24&data=05%7C01%7Cjamie.holmes%40tulsacc.edu%7Cd781c1a1a12840899bb508dab5f91ca8%7Ceb5d9dc493c645578c2390ef7fa05b96%7C0%7C0%7C638022378794577820%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=45mOfjtMYxzvxvMBoIfNqOO4V5SS2CnyfNcBLnCnIEY%3D&reserved=0>.



Please note that this is a separate registration from the OK-ACRL Annual Conference, which is also now open<https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fokacrl.wufoo.com%2Fforms%2Fzhpwfvt0kijl4e%2F&data=05%7C01%7Cjamie.holmes%40tulsacc.edu%7Cd781c1a1a12840899bb508dab5f91ca8%7Ceb5d9dc493c645578c2390ef7fa05b96%7C0%7C0%7C638022378794577820%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=MMnkZKm4FdPkcBgMLCg41AwEiChtCjbTNaZhPYRi8pk%3D&reserved=0>.



Good data organization is the foundation of any research project. Most researchers have data in spreadsheets, so it’s the place that many research projects start. We organize data in spreadsheets in the ways that we as humans want to work with the data, but computers require that data be organized in particular ways. In order to use tools that make computation more efficient, such as programming languages like R or Python, we need to structure our data the way that computers need the data. Since this is where most research projects start, this is where we want to start, too! In this lesson, you will learn: good data entry practices, formatting data tables in spreadsheets, avoiding common formatting mistakes, and approaches for handling dates in spreadsheets.



Before you can analyze data you need to clean it. Data cleaning identifies errors and corrects formatting to create consistent data. This step must be taken with extreme care and attention because without clean data the results of analysis may be false and non-reproducible. OpenRefine is a powerful free and open source tool for working with messy data: cleaning it and transforming it from one format into another. This lesson will teach you to use OpenRefine to clean and format data effectively and automatically track any changes that you make. Many people comment that this tool saves them literally months of work trying to make these edits by hand.



9:00-10:00 – Tidy Data

10:00-12:00 - OpenRefine



[RSULibraries_AcronymLogo_vert_color_for email]<http://www.rsu.edu/library/>

Ashley Bean

First Year Experience & Distance Learning Librarian

Rogers State University

918-343-7786

abean at rsu.edu<mailto:abean at rsu.edu>


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