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== English (automatic translation) ==
 
== English (automatic translation) ==
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Participants: Yassine, Antoine, Gustave, Anthony and Heyman
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=== Discussion ===
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==== On data and their organizations ====
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OFF is not only on food today.
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Think about that from the start.
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BDD currently Food oriented.
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GS1 -GDSN data -> But not really good format
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GS1 Voc -> Schema.org extension to map all the fields of the GDSN -400 properties
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Openbatra - Let's give the same format to small producers (GSDN + Extension Schema.org)
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OpenFoodFacts -> Mongodb, a lower schema, it is a choice that could be kept.
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Because we do not know the projects that will be added, therefore be evolving.
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At LLM time, structured data (whatever the data), is what is important.
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Offer to producers a data restory: PDF, photo sheet, GS1 -> data and deduce the structured data
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Today unique identifier = gtin
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To come, digital passport of the product: from its beginning of life to sorting waste. With a central register.
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It is surely the GS1 format that will impose itself.
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Online GS1 Forum this week, note: they are fully in AI (answer user questions).
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Note: Return of experience on the standardization of carpooling,
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which was difficult to bear for existing actors,
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But interoperability at the end wins.
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==== Higher level ====
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What is the objective of Open Food Facts:
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<nowiki>*</nowiki> Initially the goal is data transparency
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<nowiki>*</nowiki> Today -> Reliability is a little more important
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<nowiki>*</nowiki> But the ultimate goal: to respond to a problem, to a decision -making
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This product is good or not good - depending on my context.
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But it would also be important to have reliability clues (crossing information for example).
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Nutriscore: is not intra-category
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In England - an intra category score -
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The Eren thought that to change the habits, non-intra-category is best.
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On the environment it is very important not to do intra-category, because the orders of magnitude are even greater.
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Off is at the crossroads of lots of data and use sources.
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Off is already on a lot of levels, just wanting to have the data on lots of products from the world,
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Making indicators is yet another level, all the level access to the public and ease of contribution is also important.
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Look at the Open Street Map side which also has very heterogeneous data: a store opening time, beer prices, elevation.
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They let the contributors create their data and applications. For example on climbing we have lots of super precise data.
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Can be separated:
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<nowiki>*</nowiki> Data collection and quality
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<nowiki>*</nowiki> Creation of algos etc.
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<nowiki>*</nowiki> Creation of new use cases
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Question to ask yourself am I b2c or rather an ecosystem with start-ups, producers, the big public.
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Here off was rather large public: to put reliable info to the big public for its decisions (especially purchases)
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In areas where the issues are really important. The quality of data is higher here compared to Open Street Map.
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The very centralized model of Open Food Facts may find it difficult to go to scale.
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The Crowdsourcing + Direct data aspect will remain.
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If you are flexible on the data it is the one who re-uses who must filter.
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You need a standard all the same for structure the data.
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Open Food Facts Technical Stack is today a brake on the contribution.
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Reliability: On Open Street Map we have to indicate in which context we had the data.
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(on Open Food Facts it is still in boxes to better ask this information)
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Indicator also also depends on the context: e.g. not very important for a diabetic.
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Contextuality is very important.
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Open Food Facts is a brick for decision -making aid, not necessarily its role.
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As a re-user it gives me access to a large number of data.
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And the concept of quality depends on the context too and what we are looking for.
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Are we a nodal point or a final user solution.
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Filling the three is too difficult.
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At the same time today the mobile app helps to secure the contribution and impact of Open Food Facts.
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Central Food Data in the USA (public). Updated every month, with GS1.
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Theyda is also quite important.
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Can we have public initiatives.
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The verticality of the process is an interesting issue. But also allow external actors to plug in at the level of their choice.
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Opening: can we have more political things in Open Food Facts? Match for example the declarations correspond (verification).
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Should we integrate this kind of information?
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Current Off Policy: the most important fact base
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Example also, the distribution of value.
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=== Conclusion ===
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Open Food Facts should not manage all incoming (acquisition) and outgoing (applications) flows
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At least one vertical for project survival (capturing data) and also facilitating the re-user job.
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(ex today a problem is that the OpenStreetMap.org site does not reveal the whole project at all)
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Important to keep the two cannals Acquisition: Producers, Crowd-Sourcing.
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Really base yourself on the GTIN (and its developments) and the GS1 compatibility to prepare the future.
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The Open Food Facts brand must be synonymous with information fiablite,
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To also bring to more large public contributors.
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Also have this side against power / independence, research and confidence helps.
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Continue the componentization of the project, to promote re-use at different levels.
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