X-CGP-ClamAV-Result: CLEAN X-VirusScanner: Niversoft's CGPClamav Helper v1.25a (ClamAV 1.1.0/27043) Return-Path: Sender: To: CNI-ANNOUNCE Date: Tue, 26 Sep 2023 12:00:07 -0400 Message-ID: X-Original-Return-Path: Received: from [69.248.123.21] (account clifford@cni.org HELO [192.168.50.175]) by cni.org (CommuniGate Pro SMTP 7.1.4) with ESMTPSA id 41230547 for cni-announce@cni.org; Mon, 25 Sep 2023 23:17:58 -0400 X-Original-Date: Mon, 25 Sep 2023 23:17:58 -0400 From: Cliff Lynch X-Original-To: cni-announce@cni.org X-Original-Message-ID: <20230925231758109814.a582fab2@cni.org> Subject: Interesting Nature Commentary on Research Data and Machine Learning MIME-Version: 1.0 Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: 7bit X-Mailer: GyazMail version 1.7.1 There's an extremely interesting commentary that appeared recently in Nature; it's framed in terms of sharing data in the highly competitive framework of pharma and biotechnology corporations in ways that can benefit the entire community, but much of the thinking here is also relevant to highly competitive research labs within the academic research world that are simultaneously part of a community working together. Well worth reading and thinking about. See https://www.nature.com/articles/d41586-023-02896-9 (this may be paywalled, depending on where you are coming from. Apologies.) Citation: Nature 621, 467-470 (2023) doi: https://doi.org/10.1038/d41586-023-02896-9 Clifford Lynch Director, CNI