Data Management Services~~ Serving Researchers on Homewood and Medical Campuses ~~
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.
Supporting data management at every point in your research
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February 26 – March 2 is Endangered Data Week, an effort to shed light on public datasets that are in danger of being deleted, repressed, mishandled, or lost. Come learn about one of the key sources of public data for Baltimore City. Employees of the Mayor’s Office of Information Technology will introduce us to Open Baltimore – its content, origins, and plans for future development. <Register here>
Online viewing is also available: https://connect.johnshopkins.edu/open-bmore/
As part of Endangered Data Week we explore the very real scenario of a government shutdown. What does that mean for data access, discovery, and our daily lives? How can we as citizens take steps to prepare for such instances? Efforts to preserve essential federal data are ongoing across the country, and here we will explore one avenue that individuals can use.
Attendees will learn to archive a data set via open data repository Data Lumos (https://www.datalumos.org/datalumos/).
This is an interactive session, participants should bring a laptop if possible. <Register here>
Attendees will learn how to search, find, and share geographic content using Johns Hopkins ArcGIS Online Organization account. This class will provide the fundamental skills necessary to create, design, and share web maps, as well as use some of the various geoprocessing tools currently offered via the online application. No prior knowledge of GIS is needed to take this introductory workshop. <Register here>
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. <Register here><Handouts>
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 Management 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><Register here>
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