DataCite Commons – Exploiting the Power of PIDs and the PID Graph

“Today DataCite is proud to announce the launch of DataCite Commons, available at https://commons.datacite.org. DataCite Commons is a discovery service that enables simple searches while giving users a comprehensive overview of connections between entities in the research landscape. This means that DataCite members registering DOIs with us will have easier access to information about the use of their DOIs and can discover and track connections between their DOIs and other entities. DataCite Commons was developed as part of the EC-funded project Freya and will form the basis of new DataCite services….

We integrate with both the ORCID and ROR (Research Organization Registry) APIs to enable a search for (10 million) people and (100,000) organizations and to show the associated content. For funding, we take advantage of the inclusion of Crossref Funder IDs in ROR metadata. We combine these connections, showing a funder, research organization, or researcher not only their content but also the citations and views and downloads if available, together with aggregate statistics such as numbers by year or content type….”

Mellon Foundation grant supports development of a plan for using artificial intelligence to plumb the National Archives | Virginia Tech Daily | Virginia Tech

“A key outcome of the planning workshop will be the design of a subsequent pilot project aimed at enhancing access to National Archive collections, including the creation of new tools, techniques, and practices….”

How Can You Help the Internet Archive? – Internet Archive Blogs

“With the Internet Archive in the news for the past couple of weeks being mentioned prominently, we’ve had thousands of people discuss us in social media, and contact us directly with strong concerns and worries.

Above all, many want, in some way, to “help” and have asked us what they can do, if anything.

While your donations during this time have been appreciated, there’s actually many things you can do beyond that, which will have a lasting effect….”

CC Search Celebrates Its First Birthday!

At the end of April, CC Search officially celebrated its first birthday! After releasing the search tool last year on April 30, we eagerly watched as it was put to use. Now, with a year behind us and over 2.8 million users across 230 countries and territories, we’re gathering and examining search data to better … Read More “CC Search Celebrates Its First Birthday!”
The post CC Search Celebrates Its First Birthday! appeared first on Creative Commons.

CC Search Celebrates Its First Birthday!

At the end of April, CC Search officially celebrated its first birthday! After releasing the search tool last year on April 30, we eagerly watched as it was put to use. Now, with a year behind us and over 2.8 million users across 230 countries and territories, we’re gathering and examining search data to better … Read More “CC Search Celebrates Its First Birthday!”
The post CC Search Celebrates Its First Birthday! appeared first on Creative Commons.

AI tool searches thousands of scientific papers to guide researchers to coronavirus insights

“The scientific community worldwide has mobilized with unprecedented speed to tackle the COVID-19 pandemic, and the emerging research output is staggering. Every day, hundreds of scientific papers about COVID-19 come out, in both traditional journals and non-peer-reviewed preprints. There’s already far more than any human could possibly keep up with, and more research is constantly emerging.

And it’s not just new research. We estimate that there are as many as 500,000 papers relevant to COVID-19 that were published before the outbreak, including papers related to the outbreaks of SARS in 2002 and MERS in 2012. Any one of these might contain the key information that leads to effective treatment or a vaccine for COVID-19.

Traditional methods of searching through the research literature just don’t cut it anymore. This is why we and our colleagues at Lawrence Berkeley National Lab are using the latest artificial intelligence techniques to build COVIDScholar, a search engine dedicated to COVID-19. COVIDScholar includes tools that pick up subtle clues like similar drugs or research methodologies to recommend relevant research to scientists. AI can’t replace scientists, but it can help them gain new insights from more papers than they could read in a lifetime….”

Exploring the COVID-19 network of scientific research with SciSight | AI2 Blog

“Three months into the coronavirus pandemic, the world’s scientific knowledge of the SARS-CoV-2 virus is rapidly expanding. Reports of potential vaccines and treatments sprout up almost daily. Thousands of papers have been pouring into Semantic Scholar’s COVID-19 Open Research Dataset (CORD-19), a collection of nearly 60,000 scientific publications of potential relevance to the topic, both historical and cutting-edge….

To help accelerate scientific discovery with visualization, last month we launched SciSight, a framework of exploratory search and visualization tools for the COVID-19 literature. The first version of SciSight supported exploring associations between biomedical concepts appearing in the literature. In preliminary user interviews, the tool was found helpful in discovery-oriented search. We now release two important updates of SciSight….”

Exploring the COVID-19 network of scientific research with SciSight | AI2 Blog

“Three months into the coronavirus pandemic, the world’s scientific knowledge of the SARS-CoV-2 virus is rapidly expanding. Reports of potential vaccines and treatments sprout up almost daily. Thousands of papers have been pouring into Semantic Scholar’s COVID-19 Open Research Dataset (CORD-19), a collection of nearly 60,000 scientific publications of potential relevance to the topic, both historical and cutting-edge….

To help accelerate scientific discovery with visualization, last month we launched SciSight, a framework of exploratory search and visualization tools for the COVID-19 literature. The first version of SciSight supported exploring associations between biomedical concepts appearing in the literature. In preliminary user interviews, the tool was found helpful in discovery-oriented search. We now release two important updates of SciSight….”

Google AI Blog: An NLU-Powered Tool to Explore COVID-19 Scientific Literature

“Due to the COVID-19 pandemic, scientists and researchers around the world are publishing an immense amount of new research in order to understand and combat the disease. While the volume of research is very encouraging, it can be difficult for scientists and researchers to keep up with the rapid pace of new publications. Traditional search engines can be excellent resources for finding real-time information on general COVID-19 questions like “How many COVID-19 cases are there in the United States?”, but can struggle with understanding the meaning behind research-driven queries. Furthermore, searching through the existing corpus of COVID-19 scientific literature with traditional keyword-based approaches can make it difficult to pinpoint relevant evidence for complex queries.

To help address this problem, we are launching the COVID-19 Research Explorer, a semantic search interface on top of the COVID-19 Open Research Dataset (CORD-19), which includes more than 50,000 journal articles and preprints. We have designed the tool with the goal of helping scientists and researchers efficiently pore through articles for answers or evidence to COVID-19-related questions….”

Google’s new AI-powered search tool helps researchers with coronavirus queries

“Google‘s AI team has released a new tool to help researchers traverse through a trove of coronavirus papers, journals, and articles. The COVID-19 research explorer tool is a semantic search interface that sits on top of the COVID-19 Open Research Dataset (CORD-19). …”

How to Use and Find Public Domain & Open Access Resources

“In this webinar we will discuss the do’s and don’ts of making and using “free” online resources.

We’ll also share insights and suggest reliable tools to ensure you’re pulling fair assets from the web. We plan on answering questions from the audience, so make sure to come equipped with all your burning questions surrounding fair use, open access, and the internet!…”

Lost or Found? Discovering Data Needed for Research · Harvard Data Science Review

Abstract:  Finding data is a necessary precursor to being able to reuse data, although relatively little large-scale empirical evidence exists about how researchers discover, make sense of, and (re)use data for research. This study presents evidence from the largest known survey investigating how researchers discover and use data that they do not create themselves. We examine the data needs and discovery strategies of respondents, propose a typology for data reuse, and probe the role of social interactions and literature search in data discovery. We consider how data communities can be conceptualized according to data uses and propose practical applications of our findings for designers of data discovery systems and repositories. Specifically, we consider how to design for a diversity of practices, how communities of use can serve as an entry point for design and the role of metadata in supporting both sensemaking and social interactions.

Lost or Found? Discovering Data Needed for Research · Harvard Data Science Review

Abstract:  Finding data is a necessary precursor to being able to reuse data, although relatively little large-scale empirical evidence exists about how researchers discover, make sense of, and (re)use data for research. This study presents evidence from the largest known survey investigating how researchers discover and use data that they do not create themselves. We examine the data needs and discovery strategies of respondents, propose a typology for data reuse, and probe the role of social interactions and literature search in data discovery. We consider how data communities can be conceptualized according to data uses and propose practical applications of our findings for designers of data discovery systems and repositories. Specifically, we consider how to design for a diversity of practices, how communities of use can serve as an entry point for design and the role of metadata in supporting both sensemaking and social interactions.