Free access for scientists to large set of publications from multiple sources
Currently a large amount of scientific publications is generated on a daily basis. Whereas it is important to go faster and faster, it becomes difficult to explore these data in an efficient way. Few initiatives started very early to make available, for free, a large set of publications around the COVID-19. Nevertheless, it still remains difficult for scientists to search for information across these various data sources.
Access the data through a free Portal
In few days, thanks to a mobilized and motivated team, Dexstr put in place on the cloud an Inquiro COVID-19 dedicated portal. This portal is accessible for free for the next few months at the following address: https://covid19.dexstr.io
Within two weeks more than 600 people connected on the portal, searching into nearly 60 000 documents. You can also use it and talk about it.
Federate the information
The data available through the portal comes from 4 sources:
- Pubmed – Covid19: All articles from Pubmed related to Covid-19
- Science Direct articles from Elsevier on the novel coronavirus (SARS-CoV-2) and COVID19 provided by Elsevier’s: expert & curated information for the research and health community on SARS-CoV-2 (the novel coronavirus) and COVID-19 (the disease). As of April 10th, 21000+ articles
- COVID19 Open Research Dataset (CORD-19): resources of over 47,000 scholarly articles, including over 36,000 with full text, about COVID-19, and the coronavirus family of viruses for use by the global research community.
- Clinical trials: Information retrieved on ClinicalTrials.gov using the request “covid-19”.
Explore the data
You will find a quick video to present the portal and its use.
Inquiro gives you mainly 4 capabilities:
- Search Engine capabilities: Idea there is to be able to search for a dedicated term or list of terms of interest across the federated data sources avoiding duplicates publications.
- Structural & sub-structural chemical searches: whereas text search is the more frequent usage for a search, chemical searches can also be of interest to chemists. Looking for molecules having similarities or the same chemical scaffold to extend the search allows the scientists to go deeper in the analysis and/or to go faster in their scientific studies.
- Metadata automatic annotation Engine: Metadata are there to characterize and classify the data. An automatic annotation engine will give a bit of context and help the scientist to focus on a set of documents of interest.
- Visualization tools: At different stages of the search process, the scientists need to compare and cross the information. Some visualization tools like heatmap or relation graphs allow to faster identify patterns or correlations between data.
For the research process and particularly in the current COVID-19 pandemic outbreak, this kind of data analysis strategy gives to the scientists the capacities to go right to the point, faster on data up to date.
We believe that a collective effort will permit to find a path to global health. We hope that our contribution, with Inquiro, will be helpful to all the scientists.
DEXSTR is sponsoring and exhibiting at the Paperless Lab Academy® since 2018. They’ll be running a workshop at the next edition in April 2021.
Stéphane Rouillé, Service Delivery Director at DEXSTR
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