To DOI or not to DOI? Sharing and Publishing Research Openly with ZivaHub - Digital Scholar Series Online
Research outputs become more valuable once they are shared, allowing others to use them to glean information and build knowledge, and to acknowledge the original authors in a scholarly manner. In today's academic landscape you get credit for publishing the data you produce and share, leading to new opportunities for study. To do so, your data must be Findable, Accessible, Interoperable and Reusable (FAIR). We look at how you can make your data FAIR by sharing and publishing it on UCT's data repository ZivaHub to find out how you can share and publish your data. After this session, DOIs might be your new best friends.
Related LibGuide: Research Data Management (RDM) by Ya'qub Ebrahim
- Date:
- Wednesday 18 May 2022
- Time:
- 1:00pm - 2:00pm
- Time Zone:
- Central Africa Time (change)
- Online:
- This is an online event. Event URL will be sent via registration email.
- Categories:
- DLS events > Digital Scholarship Series DLS events
The Digital Library Services (DLS) department of UCT Libraries will be continuing their Digital Scholar Series in the first semester of 2022. Presenters from DLS will showcase some of the practises and tools available to enhance your research skills, with an ongoing focus on managing your research data efficiently.
These sessions are open to all postgraduate researchers and staff working within any field of study at UCT. The topics covered deal with the management of digital materials for research (what some of us call ‘data’) and touch on digital topics throughout the research lifecycle. The sessions are aimed at making your digital scholarship more efficient, so that your data gives you less hassle and you have more time to focus on your teaching, learning and research. Our primary focus in the first half of the year will be on topics covering the beginning stages of the research process, such as data management plans (DMPs) and best practises for efficiently capturing and managing research data.
After registering for the event, you will receive an email with a calendar invite attached. All sessions will start at 1 PM with the topics and dates listed below. The sessions will be hosted on MS Teams and will last 45 minutes, with an extra 15 minutes for questions or discussion. DLS staff will be present to moderate the chat and to help answer your questions as they come up.
See the full schedule and register.
