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That's all we know. X-Spam_score_int: -20 X-Spam_score: -2.1 X-Spam_bar: -- X-Spam_report: (-2.1 / 5.0 requ) BAYES_00=-1.9, DKIM_SIGNED=0.1, DKIM_VALID=-0.1, DKIM_VALID_AU=-0.1, DKIM_VALID_EF=-0.1, FREEMAIL_FROM=0.001, RCVD_IN_DNSWL_NONE=-0.0001, SPF_HELO_NONE=0.001, SPF_PASS=-0.001, URIBL_BLOCKED=0.001 autolearn=_AUTOLEARN X-Spam_action: no action X-BeenThere: guix-devel@gnu.org X-Mailman-Version: 2.1.23 Precedence: list List-Id: "Development of GNU Guix and the GNU System distribution." List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Cc: guix-hpc@gnu.org Errors-To: guix-devel-bounces+larch=yhetil.org@gnu.org Sender: "Guix-devel" X-Scanner: scn0 Authentication-Results: aspmx1.migadu.com; dkim=pass header.d=gmail.com header.s=20161025 header.b=rKslwSbj; dmarc=pass (policy=none) header.from=gmail.com; spf=pass (aspmx1.migadu.com: domain of guix-devel-bounces@gnu.org designates 209.51.188.17 as permitted sender) smtp.mailfrom=guix-devel-bounces@gnu.org X-Spam-Score: -1.71 X-TUID: xfJnBZ0AYsGp Hi Ludo, On Tue, 16 Jun 2020 at 14:25, Ludovic Court=C3=A8s wrote: > Hello! > > This new post introduces the work I did to have a fully reproducible > replication (!) of a 13-year old article, using Guix to express the > whole pipeline: > > https://hpc.guix.info/blog/2020/06/reproducible-research-articles-from-= source-code-to-pdf/ Really cool! IMHO, it even deserves an entry to guix.gnu.org/blog. :-) Aside, I have learnt the interesting project maneage.org. As always, it gives me some food for thought. For example, they are future bridges to think: connect the Guix archive somehow with zenodo DOI and/or Software Heritage identifier. When I read this comment in the review [1]: As a final note, I wonder if, and how much, the author's approach to reproducible computation/automated report generation is feasible for the average scientist, in particular when compared to tools with a smoother learning curve, such as Docker containers, Jupyter notebooks, R Markdown documents and the like. A brief analysis of this topic with a clear presentation of the advantages of the author's approach in the Discussion session would be worthwhile. and then the Konrad's answer [2], I asked myself what pieces are missing. And what could be the articulation of "guix pack -f docker", Guix-Jupyter or other notebooks (RMarkdown, Org)? And what could be a practical workflow? (Keeping in mind that the average scientist is not a Linux guru but often run MacOS or Windows.) 1: https://github.com/ReScience/submissions/issues/32#issuecomment-633739558 2: https://github.com/ReScience/submissions/issues/32#issuecomment-634149030 Half-related to the blog post. You mention elsewhere this baby channel [3], maybe it could be worth to link it somewhere in the blog post. Moreover, totally unrelated, I feel it lacks a list of "Scientific" channels, as [4] or [5], maybe on hpc.guix.info 3: https://gitlab.inria.fr/guix-hpc/guix-past 4: https://github.com/BIMSBbioinfo/guix-bimsb 5: https://gitlab.inria.fr/guix-hpc/guix-hpc Thanks, simon