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RDM Symposium 2021

Your research data deserves your care! Research Data Management (RDM) is important for researchers as well as the university, because data is a valuable asset. Well-managed data can optimize it’s research value, re-usability and research reproducibility.

Good RDM requires new skills, supportive infrastructure, keen awareness and conducive culture. In this symposium, HKUST researchers will look into different aspects of RDM through four seminars, and learn practical skills in Data Management Plan writing from a workshop by Digital Curation Centre. The four seminars will cover:

The seminars consist of speakers’ presentations as well as discussion sessions hosted by HKUST professors. This virtual symposium is organized by the Library. All HKUST staff and postgraduates are welcome to join. For enquiry, contact the Research Support Services team (lbrs@ust.hk).

Follow us on social media: #researchdataHKUST


Research Data Integrity and Academic Publishing

October 4, 2021 3:00 pm – 4:30 pm / [ Registration ] 

Pulling Back the Curtain: Some (Anonymized, Deidentified) Reflections From a Former Editor-in-Chief (3:00pm – 3:25pm)

Abstract
Integrity-related scandals hit the headlines with distressing regularity nowadays. The news breaks on social media and is inevitably followed by fanned flames of outrage. Retractions follow, if they do, much later. Sometimes, instead of a retraction, there is a corrigendum or an expression of concern. Sometimes the story dies away, only to be revived when the next scandal breaks and people wonder what happened to the previous one. In this talk, I share some first-hand experiences from five years as Editor, having to make “black and white decisions in areas of gray”. I hope to convey the importance of each decision one makes as a researcher, and how it may have consequences many years later.


Open and Transparent: How Research Data Supports Research Integrity (3:25pm – 3:50pm)

Abstract
Researchers may have noticed increasingly stringent data sharing policies being implemented across journals and academic publishers – you may be asked to draft a data availability statement, deposit data into a repository, provide data for peer review, or even make data “FAIR.” But why are publishers enforcing these policies, and how are they connected to research integrity? Are there benefits for authors too? Using the F1000 Research publishing platform as a case study, we will explore what it means to publish in a maximally transparent way, and how it impacts you as an author.


Panel Discussion (3:50pm – 4:30pm)

Research Data and Retraction

October 5, 2021, 9:00 am – 10:00 am / [ Registration ]

From Cancer to COVID-19, Does Science Self-Correct? (9:00am – 9:45am)

  • Dr. Ivan Oransky, MD; Editor-in-Chief, Spectrum; Distinguished Writer in Residence, New York University’s Arthur Carter Journalism Institute; Co-Founder, Retraction Watch; President, Association of Health Care Journalist

Abstract
Rapid publication of results — particularly on preprint servers — has grown dramatically during the COVID-19 pandemic, and has forced researchers, health care professionals, journalists, and others to grapple with the concept of reliable and actionable information. The pandemic has given rise to nearly 150 retractions at the time of this writing. Is that cause for concern? My lens for this talk will be ten years of experience reporting on retractions for Retraction Watch, including creating the world’s most comprehensive database of retractions, with close to 30,000 and counting.


Panel Discussion (9:45am – 10:00am)

  • Facilitated by Ms. Victoria Caplan, Head of Information Instruction & Collection Services, Library, HKUST

Why Would You Care About Data Management?

October 5, 2021, 5:00 pm – 6:30 pm / [ Registration ]

Five Selfish Reasons to Work Reproducibly (5:00pm – 5:45pm)

Abstract
In this talk, I present five reasons why working reproducibly pays off in the long run and is in the self-interest of every ambitious, career-oriented scientist. And so, my fellow scientists: ask not what you can do for reproducibility; ask what reproducibility can do for you!


Panel Discussion (5:45pm – 6:30pm)

How to Manage Data: Data Stewardship and FAIR Skills

October 13, 2021, 4:00 pm – 5:30 pm  / [ Registration ]

Becoming a Better Scientist with Open and Reproducible Research and Supporting the Scientist on this Journey (4:00pm – 4:45pm)

  • Dr. Marta Teperek, Head of Research Data Services at TU Delft Library and the Director of 4TU.ResearchData, and
  • Dr. Laurent Gatto, Associate Professor of Bioinformatics at the UCLouvain, Belgium; Director of the Computational Biology and Bioinformatics (CBIO) group

Abstract
In this interactive talk Laurent Gatto and Marta Teperek will join forces to offer some concrete examples on improving research reproducibility and transparency. Laurent will speak from his own perspective as a researcher and will share some tips and tricks on how one can become a better scientist by applying open and reproducible research practices. Marta will speak from the perspective of a research institution and will offer several examples of how institutions can help researchers on the journey to make research more reproducible and more transparent. Various aspects including people, support, policies, training, rewards and community building will be covered in the talk.


Panel Discussion (4:45pm – 5:30pm)

Data Management Plan Writing Workshops

October 6 and 12, 2021, 4:00 pm – 7:00 pm / [ Registration ]

Digital Curation Centre (DCC) is an internationally-recognized center of expertise in data management practices. Specialists from DCC are conducting two identical workshops online. Topics include:

  • Overview of Data Management Plan (DMP)
  • Best practice of Research Data Management (RDM)
  • How to write a DMP
  • Useful resources for DMP

Trainers

 

Acknowledgement

When organizing this event, we received very useful advice on programming from Ms. Sarah Jones and Dr. Marta Teperek. The Library would like to express heartfelt gratitude for their help.

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last modified 06 September 2021