In November 2019's Systematically improving the visibility of your research on social media - what would this look like? , I shared two initatives, one by a University Library and another by a Researcher/Publisher to try to experiment to improve the visibility of their research papers posted on Social Media.
Welcome to Aaron Tay's Musings about Librarianship by me, Aaron Tay.
Synopsis : I summarise some of my favourite literature review tools that have emerged in the last 2 years or so and the use cases I see them fitting in.
UN Sustainability Goals or UN SDGs was first adopted in 2015 , and consists of 17 goals adopted by all United Nations Member States to achieve by 2030.
In my last post, I talked about the state of retractions in the literature and how so much of the literature includes authors who probably unknowingly cites retracted works
Chinese translated version available here In terms of cross disciplinary citation indexes that are used for discovery, everyone knows of the two incumbants — Web of Science and Scopus(2004) . Joined by the large web scale Google Scholar (2004) , these three reigned as the “Big 3” of citation indexes for roughly a decade more or less unchallenged.
As always I am on the lookout for new interesting discovery applications and search engines, and in this blog post I will briefly mention and describe (not a full blown review) the following new ones that caught my eye.
So it is Open Access Week 2020, while I write quite a bit on Open Access and Open Data, I don't often post specifically for Open Acess Week.
Do note what follows is my own personal reflections while working on I4OA and may not represent the views or opinions of I4OA as a whole.
As a academic librarian, iinterested in discovery, I have always been a bit skeptical about the value and usefulness of graph based techniques for enhancing discovery.
Two years ago in 2018 I started to realise the importance and value of Data discovery and slowly began studying various challenges to making Datasets discoverable.