Writing “Data Availability Statement” in Your Publications
More and more journals require you to write a Data Availability Statement (DAS) when you submit a manuscript. What is DAS? How do you write one?
More and more journals require you to write a Data Availability Statement (DAS) when you submit a manuscript. What is DAS? How do you write one?
There are many things we can learn from peer review processes of others. Not only we learn how to give constructive feedback, it also helps us stay up to date with research developments and improve our critical thinking.
The University of California and the publisher Elsevier drew a landmark contract for open access publishing. The agreement costs about US$11 million per year. What does it mean for us at HKUST?
Google Dataset Search is a new search engine which allows you to search for datasets hosted in thousands of repositories across the Web. It looks on publisher sites, digital libraries, dataset providers, and on authors' personal webpages for metadata tags and returns a list of data repositories that best describes the datasets you need for your research. On the other hand, if you want to share your datasets and make them publicly accessible, you can follow the Google's guidelines for dataset providers which is an open standard for tagging and structuring your datasets. These guidelines include salient information about datasets: who created the dataset, when it was published, how the data was collected, what the terms are for using the data, etc. The overall approach is to improve discovery of the datasets by adopting a common standard by which Google and other search engines can better understand the content of the datasets. Here are some examples of what can qualify as a dataset as suggested by Google:
Datasets cannot speak for themselves. It is the way that you describe your research data and the methodology that matters.
Environment data poses specific challenges to researchers in data management. Networked sensors collect voluminous data that require systematic planning in workflow, storage and dissemination. Prof. NING Zhi (ENVR) illustrated good data practices with environment big data.
Last week, we briefly introduced a number of visualization tools for citation network. In this post, we will demonstrate how to use VOSviewer to create a bibliometric visualization for HKUST research network.
Research evaluation measures research quality in several dimensions, such as research projects, researchers, institutions, research output and impact, and more.
VOSviewer is a popular software that visualizes connections between research works. You can use it to create networks of term co-occurrence. Here is a very good training video that guides you to do that.
With Connected papers, you can explore papers in your research field using graphs. You may discover more papers than traditional literature searches.