Best Practices for Research Data Management and Sharing
Effective data management can increase the pace of the research process, contribute to the soundness of research results, and meet funding agency requirements by making research data easy to share. Join us for an overview of best practices including backup procedures, tips on effective file names, data security and access controls, and data documentation/metadata. This seminar is for faculty, postdoctoral researchers and graduate students from all disciplines. This course does not focus on creating or using any particular data collection or analysis tool (e.g. REDCap, SPSS), but discusses data management at a general level.
De-identifying Human Subjects Data for Sharing
With researchers increasingly encouraged or required to share their data, preparing to share datasets with confidential identifiers of people and organizations is particularly challenging. Join JHU Data Services for an overview of techniques for assessing disclosure risk and hiding personal identifiers and Protected Health Information in quantitative and qualitative data, in compliance with IRB and HIPAA guidance. We also discuss preparing consent forms that facilitate data sharing, and keeping identifier data secure during and after projects. <Handout>
Writing Data Management Plans with DMPTool
Data management plans (DMPs) are increasingly required in the grant proposal process, particularly for research funding from federal agencies. In this 1-hour workshop with JHU Data Services, learn how the free, online DMPTool can help you organize your data management plan and tailor plans to your funder’s requirements. We will discuss the main components of an effective data management plan, how JHU Data Services can help with DMPs, and provide a hands-on tutorial of using DMPTool to create and share your plans. This workshop is aimed at faculty, postdoctoral researchers and graduate students from all disciplines. Learn more about our DMP consultations.
This JHU Data Services half-day course introduces students to the tools in ArcGIS Pro, tools. Learn how to work with spatial data and get an introduction to the most often used geospatial analytic tools. Take this class if you want to learn how to use the many geoprocessing tools.
Registration link: https://jhu.libcal.com/event/8219143
Prerequisite: Introduction to R for Absolute Beginners or some experience using R. You’ve cleaned and analyzed your data, now learn how to visualize it. Visualizing data is critical for both understanding the meaning and patterns hidden in your data, and communicating it to an audience. This workshop by JHU Data Services serves as an introduction to using R’s data visualization tools and techniques. In this hands-on session, we’ll cover design concepts of data visualization and popular R packages, before diving into creating data visualizations for a prepared dataset using base R and ggplot2. Some prior experience in R is required.
Registration link: https://jhu.libcal.com/event/8219190
If you have tabular data that you would like to visualize using a GIS but don’t know how to format it correctly, this class is for you. Students will be led through hands-on exercises using both table joins as well as a spatial join. While these exercises are taught using ArcGIS Online, students will receive directions on how to Join data using ArcGIS Pro. Prior experience will help a student navigate the interface but is not required.
Registration link: https://jhu.libcal.com/event/8219426
Documenting Your Research Data
Documenting your research data is a prerequisite for data sharing and your own use of your data in the future. Good documentation helps your data be discoverable, understood, and trusted by others. Please view our individual modules for the training “Documenting Your Research Data” to learn documentation best practices by subtopic (e.g., code, tabular data, using documentation standards).
Preparing Data Management Plans
Many funders require Data Management and/or Sharing Plans for grant proposals. Developing a competitive Plan requires understanding and effectively addressing the many aspects of research data management and sharing that funders and reviewers emphasize (e.g., plans for research data security, sharing, and documentation). This training is divided into 8 module, each on a particular subtopic (e.g., documentation). You can view the modules in whichever order you like and are not required to view any one module prior to viewing another module, though the Introduction module is a great place to start. We recommend that you use the DMPTool while writing your Plan, so it may be helpful to familiarize yourself with it as you view the various modules in this training.
Contains 8 modules, 55 – 75 minutes in total, depending on how many optional sections you explore. Explore Delivered via Blackboard (You will need to use your JHED and password to log in. If you are not affiliated with Johns Hopkins University but still want to access the modules, please contact us.).
Planning for Software Reproducibility and Reuse
This session helps make your research more efficient and impactful by presenting best practices for creating understandable, reproducible, reusable, and citable software and scripts. Additional topics include intellectual property considerations and ensuring long-term accessibility of code.
Contains 6 sub-modules, 22 mins in total. Delivered via interactive slideshow.
De-identifying Human Subjects Data for Sharing
Researchers are increasingly encouraged or required to share their data, and it is particularly challenging to prepare datasets for secure sharing with confidential identifiers of people and organizations . Join JHU Data Services for an overview of the types of identifiers, and how to determine if your data have disclosure risk. You will also learn about available JHU resources to help you with de-identifying data.
Effectively Managing and Sharing Research Data in Spreadsheets
Regardless of discipline studied or methods used, it is likely that researchers use some sort of spreadsheet application (e.g. Excel) to investigate, manipulate, or share research data. Though easy to exchange with other researchers, difficulties can arise when using other researchers’ spreadsheet data when sharing and preservation are not adequately considered.
Join Data Services for a free session on Effectively Managing and Sharing Research Data in Spreadsheets. During this one hour session we will cover spreadsheet practices that can a) increase the possibility research data contained in spreadsheets can be re-used by others (and you) in the future, and b) help to reduce the chance of error when using spreadsheets for data acquisition.
Contains 8 modules, with 60 mins lectures and 60 mins demos. Delivered via Blackboard.
Contact us to request a past workshop.
Preparing Your Research Data for Re-use Workshop
How can you organize, document and package up your research data so that you or another researcher can make easy use of your data in the future? Perhaps you are finishing a research project and want to make the associated data usable going forward. Or perhaps after using data from someone else’s project, you vow not to let others be as frustrated when using your data!
In either case this workshop is for you. This workshop gives researchers practical steps for preparing research data for re-use by themselves and others. Data Services will take researchers through several data preparation steps (e.g., data selection, organization, documentation, preservation), and introduce a spreadsheet tool that facilitates and documents those steps. Attendees can apply these steps for their own research project!
Introduction to the Open Science Framework
Collaboration among researchers can be difficult in many ways. So too is the management of all the materials and documentation that go along with it. In this session we introduce a helpful platform designed to ease the difficulties of managing and sharing data and research products. The Open Science Framework (OSF) is a free, open source, online research project management platform where you can create a personal JHU affiliated account, manage multiple projects, and collaborate or share with other researchers when you are ready to do so. It has the capability of connecting to services you may already use for research including JHBox storage, or other 3rd party services such as Google Drive, Github, and Mendeley, to name a few. Over the hour we will tell you more about the OSF, how you can get started, explain basic concepts of the interface, and share some interesting examples of ways other researchers are using the OSF. You can find more information about OSF services on our website and you may also want to take a look at our Lab Organization Template and Electronic Lab Notebook Template to get an idea of how one might use the OSF. We hope that you can join us!