So, you want to write an NIH grant and need to know more about their new policy on Data Management & Sharing Plans? Drop-in this virtual information session to learn about the policy and how to successfully meet its expectations at Harvard. Experts from research support services across Harvard will be on hand to provide guidance and answer your questions.
A 2-page Data Management Plan (DMP) will be required as part of the new NIH Data Management & Sharing Policy. The Plan will set you up for long-term research success.
This hands-on workshop will run through the components of a good data management plan and introduce the DMPTool, an online (and Harvard-customized) tool for crafting funder-specific data management plans.
Creating and locating robust protocols and methods can save you a couple of weeks in the lab. Need to know how to do Optogenetic manipulation of neural activity in freely moving Caenorhabditis elegans? Improve your efficiency by learning strategies for finding published research protocols and methods. This session introduces attendees to protocol resources that support bioscience research.
Part 1: Writing Methods with protocols.io protocols.io
In this hands-on workshop, you’ll explore the capabilities of several free online tools that allow you to make unconvential data visualizations. After this workshop, you'll understand some advantages and limitations of using free online visualization tools like Flourish, Datawrapper, and Google Data Studio.
This is the last in a three-part series of data visualization workshops jointly taught by the Harvard Kennedy School Library and the Loeb Library at the Harvard Graduate School of Design. We will be hosting each workshop twice: once at HKS and once at GSD.
Instructors are James Adams (Manager of Research & Data Services, HKS Library) and Bruce Boucek (GIS, Data, & Research Librarian, Loeb Library at GSD).
The HKS version of this workshop will take place in Wexner 434B (...
Neglecting to develop and implement a file naming convention. Data hot mess. Failing to sync and back up your data. Deadly data loss. Saving your data to a proprietary file format. Walking dead data. Facing the shame of having your publication retracted. The horror. The horror.
Data management is not easy, as is evidenced by these true horror stories of data quality gone wrong. Learn from (and wince at) these mistakes to avoid problems with your own projects!
This hour-long workshop covers key design principles you should consider when planning or storyboarding your visualizations — from choosing the optimal chart type for your data to the effective use of color, text, and spacing.
An introduction to text analysis for literature with basic introduction to software packages. This workshop is an introduction to working with text as data in the humanities.
This workshop will cover: Gathering text corpora, copyright considerations, data cleaning, an introduction to some computational software tools, reading the output and analysis of topic modeling and cluster analysis, and general overview of common questions asked in computational literary studies.
The new NIH Policy strongly encourages the use of established repositories to the extent possible for preserving and sharing scientific data. Publishing research data within a trusted repository helps you comply with funder and journal data sharing policies, supports the discovery of and access to data, and can result in more visibility and higher impact for research projects.
In this workshop, we will review a variety of institutional, generalist, and discipline-specific data repositories you can...