It’s Love Data Week 2020!

Lover you data week and rainbow love hearts

People hear statistics, but they feel stories* 

From the 10th to 14th February, QUT Library is celebrating the value and importance of research data. During 2020’s Love Data Week, we are adopting the theme of ‘data storytelling’.

QUT is celebrating the art of Data Storytelling that uses techniques, visualisation tools and narratives to bring together the story of your research.

Data storytelling is a new way of communicating and presenting your research data and translate your data to knowledge that a wider audience will remember. It can vastly improve the impact of your research output.

Visualisation is a prominent tool in data storytelling and two engaging examples are the visualisation of music genres through the ages and the bank of graphics from Information is Beautiful.

Some other easy to use tools include d3j, dataviz, plothy, gephi, canva and datawrapper.

There is a range of activities available to you during Love Data Week:

Data Storytelling

Amanda  Miotto (eResearch – Digital Solutions Griffith University)

Hear about data visualisation software and tools

 Alice Miller (Digital Observatory QUT)

Visualising a reply network of tweets from the Australian Twittersphere on AFL Grand Final night

Tuesday 11 February 2020, 10 – 11 am, Gardens Point P 405

Register HERE

Hacky Hour

Drop in and get support with your data visualisation or other data related enquiries

  • Wednesday 12 February 2 – 3pm Kelvin Grove Beadles
  • Thursday 13 February 2 –3 pm Gardens Point Pantry

No registration required

Network Know-how & Data Handling “Train the Trainer” (session 1)

Jupyter Notebooks training for beginners (session 2)

Friday 14 February 2020,  9 – 5pm, Gardens Point P 405

Session 1:     9 am – 1 pm

Session 2:     2 pm – 5 pm

Register HERE

You can register for just one event and provide your details sending to b2.waha@qut.edu.au

Join the conversation via Twitter #lovedata20 #qutlibrary @GPHackyHour

*https://www.future-you.com.au/blog/2019/11/people-hear-statistics-but-they-feel-stories-how-to-analyse-and-interpret-data-to-tell-a-story

CC - attribution, non-commercial, share-alike

Love Data Week 2018

It’s Love Data Week!

From the 12th to the 16th of February, along with other academic and research libraries, data archives and organisations, QUT Library is celebrating the value and importance of research data, which we believe are the foundation of the scholarly record and crucial for advancing our knowledge of the world around us.

The theme for the 2018 social media event is ‘data stories’ including :

Stories about data
Telling stories with data
Connected conversations
We are data

Anisa Rowhani-Farid, from the School of Public Health and Social Work, Faculty of Health who’s completing a PhD Towards a culture of open science and data sharing in health and medical research at QUT has this to say about data and reproducible science:

Efforts are underway by the global meta-research community to strengthen the reliability of the scientific method [1].  Data sharing is an indispensable part of the movement towards science that is open; where scientific truth is not a questionable commodity, but is easily accessible, replicable, and verifiable [2].  The cultural shift towards reproducible science is complex and it calls for a twofold change in the attitudes of individual researchers toward reproducibility, and the leadership provided by the systems and services that support scientific research.  As such, journals, universities, government bodies, and funders are key players in promoting this culture.  Transparency and reproducibility are elements central to strengthening the scientific method, and data provides the key to scientific truth [3].”

 

  1. Ioannidis JPA, Fanelli D, Dunne DD, Goodman SN: Meta-research: Evaluation and Improvement of Research Methods and Practices. PLoS Biol 2015, 13(10):e1002264.
  2. Reproducibility and reliability of biomedical research: improving research practice. In.: The Academy of Medical Sciences; 2015.
  3. Iqbal SA, Wallach JD, Khoury MJ, Schully SD, Ioannidis JPA: Reproducible Research Practices and Transparency across the Biomedical Literature. PLoS Biol 2016, 14(1):e1002333.

If you’re a researcher, leave a comment below on your data story.

Visit the Love Data Week blog each day for stories, resources and activities and if you would like to join the conversation via Twitter #lovedata18  @qutlibrary

Sharing research data

Are you a QUT researcher? Make your datasets available, discoverable and accessible with Research Data Finder

Are you a QUT researcher? Make your datasets available, discoverable and accessible with Research Data Finder

QUT researchers can now make their datasets openly available, discoverable and accessible using QUT’s Research Data Finder. Researchers can easily self-deposit datasets, quickly describe and publicly share them with the broader research community, maximising opportunities for data re-use and ensuring compliance with funders and publishers.

Two examples where researchers have shared their dataset are below.  There is a link to the dataset at the top right corner in the Access the Data section.

Why share data?

Both the ARC and NHMRC encourage the dissemination of research data (Section C of ARC Discovery grants instructions to applicants).  The Australian Code for the Responsible Conduct of Research states: “Researchers have a responsibility to their colleagues and the wider community to disseminate a full account of their research as broadly as possible.” [Section 4.4]

Public Library of Science (PLOS) and Nature journals require authors to make all data underlying the findings described in manuscripts fully available without restriction, with rare exception.

QUT’s Management of research data policy (MOPP D/2.8.7) advises that QUT ‘research data will be made available for access and re-use by other researchers subject to any contractual, ethical, privacy or confidentiality matters’.  The Guidelines for the Management of Research Data at QUT provide further details on all aspects of research data management including  access and re-use, access agreements, and a range of licences (copyright and Creative Commons).

Other benefits of sharing research datasets in Research Data Finder are:

  • An increase in citations by up to 69% (Piwowar & Vision, 2013)
  • Data is readily available for re-use when required
  • An improved research profile
  • Increased national and international opportunities for collaboration and innovation

Contact your Liaison Librarian for more information about depositing datasets into Research Data Finder