2019 International Open Access Week: “Open for Whom? Equity in Open Knowledge”
As open becomes the default, all stakeholders must be intentional about designing these new, open systems to ensure that they are inclusive, equitable, and truly serve the needs of a diverse global community. Asking ourselves and our partners “open for whom?” will help ensure that considerations of equity become and remain central in this period of transition. ...
Please join us on Tuesday, October 1, 2019, 12:00pm – 1:00pm, 90 Mt. Auburn, Room #021 for our next Data Discussion Group meeting.
We are still formulating our meeting agenda, so if there are topics that you would like to propose, please let us know!
The Data Discussion Group provides a space for all members of the community who are actively involved in, or have an interest in data-related activities to:
Learn about and discuss data-related policies, best practices, tools, resources, and innovations;
Workshop 3: Version Control for Scripts, Data and Text documents
Tired of wading through files titled paper_v1, paper_v2, paper_v3_beforeAdvisor... ? This hands-on workshop will introduce the concepts of using a version control system to manage changes and the history of your data files (text, web, scripts, etc.). Attendees will participate in multiple exercises in...
Good metadata enables you to understand, use, and share your own data now and in the future, and helps other researchers discover, access, use, repurpose, and cite your data in the long-term. It also facilitates long-term archival preservation of the data. Learn what metadata is, how it applies to your research, and who to contact for assistance.
This class is part of the HMS Research Data Management Seminar Series
Registration: https://libcal.countway.harvard.edu/calendar/countway/HPC *This workshop is geared towards HMS Affiliates*
Workshop 2: Introduction to High-Performance Computing using HMS’ O2 cluster
Big data analysis often requires the use of computing resources that extend well beyond what is available on a personal laptop. A common solution to this problem is to perform your data analysis on a remote computer. In this...
The Dataverse Community Meeting, hosted by Harvard’s Institute for Quantitative Social Science, welcomes researchers, librarians, publishers, developers and anyone interested in data sharing or building repositories.
The Dataverse Project has a growing active community of users and developers and is now a mature repository software used to share, cite, and archive research data. Learn more about the project at our dataverse.org site...