Data management focuses on data organization and sharing. DASH and Dataverse are platforms to help you share your work and increase your scholarly impact. In this session, learn practices and platforms to achieve your open access goals!
In celebration of Open Access Week 2020, join this conversational panel with members of the Harvard community as we discuss considerations, benefits and challenges of open scholarship. Hear from a variety of domain experts working on projects designed to democratize knowledge and remove barriers to research, teaching and learning.
Research papers and protocol organization in labs often lack detailed instructions for repeating experiments. protocols.io is an open-access platform for researchers to create step-by-step, interactive and dynamic protocols that can be run on mobile or web. Researchers can share protocols with colleagues, collaborators, the scientific community or make them public, with ease and efficiency...
Digital Scholarship Discussion Group lunchtime meet up -- OA edition!
The Long 19th Amendment Project is a research and teaching collaboration spearheaded by the Schlesinger Library at Harvard’s Radcliffe Institute for Advanced Study. This open-access digital portal facilitates interdisciplinary, transnational scholarship and innovative teaching around the history of gender and voting rights in the United States.
A part of the data workflow is preparing the data for analysis. Some of this involves data cleaning, where errors in the data are identified and corrected or formatting made consistent. This step must be taken with the same care and attention to reproducibility as the analysis.
OpenRefine (formerly Google Refine) is a powerful free and open source tool for working with messy data: cleaning it and transforming it from one format into another. Many people comment that this tool saves them literally months of work trying to make these edits by hand!
Turn messy data into tidy data! Much of your time will be spent in this ‘data wrangling’ stage. It’s not the most fun, but it’s necessary and food data organization is the foundation of data analysis. Learn the rules for a 'tidy dataset' in order to clean and prepare your data with examples and tools.
This workshop will build on principles from the June Tidy Data is Good Data seminar, and explore how to turn messy data into tidy data using simple functions in R. Note: You do not have to have...
Scholars can communicate their research in various ways. While peer-reviewed journal publications remain the primary outlet for sharing the key results of research projects, there are growing norms and expectations that the underlying data from projects should also be published.
In this session, we will look at strategies and tools for increasing and measuring the impact of your research, and help you get started with an ORCID profile.
Scholars communicate their research in various ways. While peer-reviewed journal publications remain the primary outlet for sharing the key results of research projects, there are growing expectations that the underlying data from projects should also be published. Data management practices help researchers take care of their data throughout the entire research process from the planning phase to the end of a project when data might be published within a repository.
This webinar will look at strategies to effectively publish data and provide strategies for “...
"It is often said that 80% of data analysis is spent on the process of cleaning and preparing the data." - Hadley Wickham, Chief Scientist at RStudio
Analysis-ready datasets have been responsibly collected and reviewed so that analysis of the data yields clear, consistent, and error-free results to the greatest extent possible. When working on a research project, take steps to ensure that your data is safe, authentic, and usable.
This webinar will review data management practices to ensure your datasets are ready for analysis. We will review...