Data sharing is becoming an increasingly prevalent and expected part of the research process. Researchers may be hesitant to share datasets about human subjects, and rightfully so. While some data can be shared respecting Institutional Review Board (IRB) and federal restrictions, other data is ultimately not publicly shareable.
This webinar will address conflicts that can arise when attempting to balance the protection of data with expectations for open data, such as restrictive language in data use agreements, IRB protocols, and consent forms.
Publishing your data can increase the visibility and impact of your research. There are many considerations and options for ensuring your work (intellectual property) is protected.
In this session, we will discuss three areas: first, why it’s beneficial to license your data as openly as possible; second, the particular issues and challenges involved in the sharing of qualitative data; and finally, as you incorporate your research data into a research output, how to read a journal publishing agreement.
Finding data to reuse for your own research is often challenging because it can be widely distributed across a large number of different repositories and websites, it may not be described very well, and it can be difficult to evaluate whether data you have found is suitable for your research needs. In this session, we will explore Harvard Dataverse to learn more about searching in a data repository and reusing secondary data, including how to read metadata to better understand datasets and appropriately citing and resharing datasets you reuse in your own research.
Open Scholarship advocates for research to be transparent and openly available to all. In this workshop, we’ll give an overview of the Open Science movement and the general principles including access to publications and the underlying research process, FAIR data, and initiatives within scholarly communications that support “openness” of the research endeavor (preprints, registered reports, persistent identifiers, and community engagement platforms).
Instructors: Iris Jahng, Digital Scholarship Librarian, Countway Library Scott Lapinski...
The NIH promotes broad dissemination of research products including NIH-funded and/or NIH-developed research software. By releasing software and code you have created and/or developed in your research, you are further contributing to the research landscape and making your approach to research more open, transparent, and reproducible. GitHub is one of the most widely-used code repositories and is recommended for active software development.
Digital object identifiers (DOIs) allow other researchers to cite your code and lets you track its reuse. In order to properly share your...
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.
So, you want to write an NIH grant and need to know more about their new policy on Data Management & Sharing Plans? This session will highlight its key elements and changes, give an overview of the background and rationale of the new policy, and help you lay out a path for successfully meeting its expectations at Harvard.
Instructor: Julie Goldman, Research Data Services, Countway Library
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.
Winter 2022 Research Data Management Seminar Series
The Open Science Framework (OSF) is a free, open-source project management tool to help scholars manage their workflow, organize their materials, and share all or part of a project with the broader research community. The tool connects to many other tools researchers often use such as GitHub, Dropbox, ORCID, Zotero, Dataverse, and many more.
Harvard Library now provides an institutionally-branded version of the OSF. Come learn about additional features on the OSF available...
HKS Programming + Pizza is a peer-to-peer mentoring group where those interested in programming tools and computational research can build skills and community. Every event highlights one interesting coding project, but attendees are free to work on whatever they like - including pizza!