KnowledgeArc
@KnowledgeArc
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A challenge that every researcher faces: how to get past peer review. Claude — ChatGPT's competitor — can help you with it. Make Claude your peer reviewer and ask it to do a mock review of your paper. Best part: Claude is free. Here's how to turn Claude into a peer reviewer:
Really interesting to see the number of posters but also the sessions this week around the UN Sustainable Development Goals and the opportunities for repositories to reflect our research outputs with their SDGs #openrepos2023 sdgs.un.org/goals
@lmatas from @LAReferenciaAA and Washington Segundo offer their ideas on a decentralized Blockchain-based implementation of ARK PIDs. #openrepos2023
Carte: Comparisons between SciVal and NLP shows differences in a number of units - issues include different data sets, queries and coverage - but fascinating to see this work - Sean has files on GitHub github.com/seancarte/pg-n… #openrepos2023
github.com
GitHub - seancarte/pg-nlp: Scripts and SQL related to processing DSpace databases using Postgres...
Scripts and SQL related to processing DSpace databases using Postgres NLP functions - seancarte/pg-nlp
Estamos en #openrepos2023 @lmatas junto a Washington Segundo de nuestro nodo de Brasil conversan sobre el proyecto dARK, un identificador persistente descentralizado usando blockchain
ChatGPT represents only a fraction of the best AI tools. I search through over 100+ new AI tools every week, so you don't have to. Here are this week's 10 most useful ones that you've never heard about: (all new)
BSU Digital Library among world's top three institutional repositories eng.belta.by/society/view/b…
In pursuit of Open Science, Open Access is not enough. Preventing monopolies in knowledge infrastructure is the next battleground for publishers and research institutions. #knowledgearcnetwork sciencemagazinedigital.org/sciencemagazin…
Archive will fundamentally change the way people interact with research and discovery. Authors will be able to archive and publish their material without the need for large corporations stepping in and monetising every aspect of knowledge creation. #tokenisingknowledge #research
Sigma nurses are rising to the occasion across the globe. Now more than ever, Sigma is here for you. Visit our resource webpage to access free online courses, e-books, inspirational stories, and webinars. #WeAreSigmaNurses SigmaNursing.org/HereForYou
The top 5 sources of #COVID19 research, by volume, are #openaccess. In descending order: @medRxivpreprint, @SSRN, @bioRxiv, @ResearchSquare, and @arXiv. About 17% (1,135 of 6,659) of COVID19 research works are preprints. timeshighereducation.com/news/huge-covi…
Sigma is hosting a series of free webinars on grief, strategies to respond, and fostering student resilience. Check out our upcoming webinars that will help you navigate through #COVID19 at any stage of your nursing career: sigmanursing.org/hereforyou #WeAreSigmaNurses
Pleased to be hosting the #Nursing #resources for #COVIDー19 webinars in the @SigmaNursing #OpenAccess #Repository, and curated in @WordPress and integrated via #RESTapi with their #DSpace hosted on the @KnowledgeArc platform. sigmarepository.org/sigma-covid-19…
There are two eras of peer reviewed research: the first is centralised, controlled by a few, profited by even fewer, to the detriment of all. The second is decentralised, accessible by everyone, profitable to anyone.
Free closed caption for COVID-19 content. Effect.AI encourages any and all organizations globally to reach out to us today to make sure all COVID-19 related video content is accessible to everyone, especially the elderly. Apply here effectai.typeform.com/to/vukLlW
“We have an opportunity, even an obligation, as a university of science and technology, to try to make our contributions to tackle this global crisis. I believe that science has a central role to play in this.” KAUST President, Dr Tony Chan More: fal.cn/37ddO #COVID19
COVID-19 Open Research Dataset Challenge (CORD-19) lnkd.in/eXz3Nhq #openaccess #coronavirus #research #dataset
My editorial paper entitled, "No raw data, no science: another possible source of the reproducibility crisis". When I feel the results are too beautiful, I requested raw data before sending it out for review. 40 out of 41 did not send me the right data. molecularbrain.biomedcentral.com/articles/10.11…
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