182 Matching Annotations
  1. Nov 2024
  2. Jun 2024
    1. Résumé de la vidéo [00:00:05][^1^][1] - [00:26:39][^2^][2]:

      La vidéo présente une session sur l'open data de Santé publique France, discutant de l'utilisation des données pour différents publics. Elle aborde la refonte de la stratégie d'open data, l'importance de la transparence et de la collaboration, ainsi que les défis liés à la sensibilité des données de santé.

      Points forts: + [00:00:05][^3^][3] Introduction de la session * Présentation des modérateurs et du thème de l'open data * Discussion sur l'utilité des données pour le public + [00:01:49][^4^][4] Projet de mise à jour de la stratégie d'open data * Contextualisation de l'open data et ses principes * Défis spécifiques aux données de santé et leur protection juridique + [00:06:03][^5^][5] Identification des publics cibles et méthodologie * Choix des décideurs publics et acteurs de la société civile comme cibles * Organisation du travail en quatre axes pour répondre aux besoins + [00:10:07][^6^][6] Approche méthodologique combinée * Utilisation de focus groups, enquêtes et entretiens pour collecter des informations * Co-conception avec les acteurs pour construire de futurs indicateurs + [00:13:01][^7^][7] Besoins d'une agence régionale de santé * Importance des données fiables pour la coordination et la régulation * Utilisation des données pour la cartographie et la projection des besoins en soins + [00:25:15][^8^][8] Questions et réponses * Échange avec l'audience sur les fonctions de l'ARS et l'utilisation des outils prédictifs * Discussion sur l'intelligence artificielle et la mesure de la fiabilité des prédictions

      Résumé de la vidéo [00:00:05][^1^][1] - [00:26:39][^2^][2]:

      La vidéo présente une session sur l'open data de Santé publique France, discutant de l'utilisation des données pour différents publics. Elle aborde la refonte de la stratégie d'open data, l'importance de la transparence et de la collaboration, et les défis liés à la sensibilité des données de santé.

      Points forts: + [00:00:05][^3^][3] Introduction à l'open data de Santé publique France * Présentation des animateurs et objectifs de la session * Discussion sur l'utilité des indicateurs en open data + [00:01:48][^4^][4] Projet de mise à jour de la stratégie d'open data * Contexte et principes de l'open data * Caractéristiques et restrictions liées aux données de santé + [00:06:03][^5^][5] Identification des publics cibles et méthodologie * Focus sur les décideurs publics et acteurs de la société civile * Organisation du travail en quatre axes pour répondre aux besoins + [00:12:33][^6^][6] Besoins d'une Agence Régionale de Santé (ARS) * Importance des données fiables pour la coordination et la régulation * Projets et croisement de données pour la prise de décision éclairée

      Résumé de la vidéo [00:50:28][^1^][1] - [01:15:17][^2^][2]:

      La vidéo traite de l'utilisation des données ouvertes de Santé publique France pour améliorer la santé publique. Elle aborde les défis de la communication, de la compréhension et de l'application des données, en particulier à une échelle infracommunale, et souligne l'importance de choisir des indicateurs pertinents pour les politiques de santé.

      Points forts: + [00:50:28][^3^][3] Compréhension des données * Difficultés perçues par les habitants et les associations * Importance de la formation et de la sensibilisation + [00:51:01][^4^][4] Besoins et défis * Faciliter l'accès et l'utilisation des données * Sécurité et anonymat dans le partage des données + [00:53:34][^5^][5] Outils et limites * Développement d'outils pour l'accès aux données * Exemples d'outils utilisés dans d'autres pays

      Résumé de la vidéo [01:15:20][^1^][1] - [01:38:45][^2^][2]:

      La vidéo traite de l'utilisation des données ouvertes de Santé publique France et de leur importance pour divers publics, notamment les politiques de santé et les journalistes. Elle souligne la nécessité d'une approche politique et sociale pour aborder les questions de santé environnementale et la collaboration entre les villes et les régions pour une politique de santé cohérente.

      Points forts: + [01:15:20][^3^][3] Politiques de santé locales * Importance de la collaboration entre villes et départements * Actions municipales spécifiques et politiques régionales plus larges + [01:17:02][^4^][4] Collaboration interrégionale * Nécessité de travailler ensemble sur des sujets communs * Exemple de la trame verte à l'échelle métropolitaine + [01:20:05][^5^][5] Journalisme et données de santé * Impact du COVID-19 sur l'utilisation des données par les journalistes * Importance de la granularité et de la temporalité des données + [01:35:50][^6^][6] Formation des journalistes * Besoin de diversifier les profils dans les écoles de journalisme * Intégration des outils de gestion de données dans la formation

      Résumé de la vidéo [01:38:47][^1^][1] - [02:03:42][^2^][2]:

      Cette vidéo présente une session sur l'open data de Santé publique France, discutant des données disponibles pour différents publics. Les intervenants explorent les défis de la production d'indicateurs, la médiation des données, et l'équilibre entre la rapidité de mise en ligne et l'accompagnement nécessaire pour les utilisateurs.

      Points forts: + [01:38:47][^3^][3] Production et médiation des données * Temps de production incompressible * Choix entre rapports détaillés ou données agrégées rapides * Dilemme entre l'accompagnement et la rapidité + [01:39:47][^4^][4] Diffusion des données et expertise * Journalistes cherchent des mises à jour régulières * Importance d'une explication succincte avec les données * Rapports d'experts pour une diffusion plus large + [01:41:11][^5^][5] Formation des journalistes et collaboration * Formation à la démarche scientifique * Collaboration avec Santé publique France pour une information précise * Besoin de données infracommunales pour les villes + [01:47:26][^6^][6] Troisième vague de l'Open Data * Travailler avec les usagers autour d'objectifs de politique publique * Étendre le public des données et développer la datalitéracie * Importance de connaître les usagers actuels et potentiels des données + [01:58:36][^7^][7] Accès aux données et enjeux de santé publique * Difficultés d'accès aux données infracommunales * Nécessité de partenariats pour des données plus fines * Enjeux sensibles liés à la restitution des données de santé

      Résumé de la vidéo [02:03:49][^1^][1] - [02:27:30][^2^][2]:

      Cette partie de la vidéo discute de l'open data de Santé publique France et de l'identification des publics nécessitant des données spécifiques. Elle aborde les défis de la médiation et de la définition des besoins en données pour divers secteurs, y compris la santé et l'environnement.

      Points forts: + [02:03:49][^3^][3] Identification des besoins en données * Difficulté à dialoguer et à médier entre les fournisseurs de données et les utilisateurs * Importance de définir clairement les besoins en données pour les politiques publiques + [02:08:59][^4^][4] Exemples de données non accessibles * Manque de données sur la vaccination au niveau local pendant la COVID-19 * Difficulté à obtenir des données de santé scolaire pour les villes + [02:17:01][^5^][5] Création de nouvelles données pour les politiques publiques * Nécessité de produire des données pertinentes pour répondre à des problèmes spécifiques * Exemple du baromètre des villes cyclables pour évaluer la cyclabilité + [02:22:02][^6^][6] Littératie en données de santé et obstacles à l'ouverture des données * Importance de la formation pour comprendre la production et la collecte de données * Défis liés à l'accessibilité et à l'utilité des données pour le grand public

      Résumé de la vidéo [02:27:32][^1^][1] - [02:42:03][^2^][2]:

      La vidéo aborde l'importance de l'open data de Santé publique France et les défis liés à la collecte, la documentation et l'utilisation des données pour divers publics. Elle souligne la nécessité d'une documentation claire des données et d'une médiation pour aider les utilisateurs à comprendre et à utiliser les données de manière éthique et efficace.

      Points forts: + [02:27:32][^3^][3] L'éthique de l'open data * Discussion sur la pertinence éthique de détailler l'état de santé des citoyens * Importance de la transparence et de la responsabilité dans la collecte des données + [02:28:02][^4^][4] La documentation des données * Présentation du "datashheet for dataset" pour une documentation standardisée * Importance de documenter le processus de collecte et le contexte de production des données + [02:30:29][^5^][5] Les besoins des utilisateurs territoriaux * Manque de connaissances précises sur l'état de santé des populations locales * Exemple d'une ville ayant besoin de données pour répondre à une situation de soins de santé + [02:33:48][^6^][6] La démarche de la ville de Paris * Création de portraits de santé infracommunaux pour répondre aux besoins des acteurs locaux * Processus participatif impliquant élus et partenaires de santé pour identifier les indicateurs pertinents

  3. Mar 2024
    1. Résumé de la vidéo [00:00:01][^1^][1] - [00:22:59][^2^][2]:

      Cette vidéo présente les objectifs et les activités de la Fabrique des Mobilités (FabMob), une association qui vise à promouvoir une mobilité durable et moins émettrice de carbone. Elle explique le concept de commun numérique et son application pratique dans le secteur de la mobilité, en mettant l'accent sur la coopération entre acteurs hétérogènes et la gouvernance partagée des ressources numériques.

      Points forts: + [00:00:01][^3^][3] Introduction de FabMob * Présentation des objectifs * Définition d'un commun numérique + [00:04:00][^4^][4] Rôle de la DGITM * Collaboration avec FabMob * Importance des communs dans la mobilité + [00:08:03][^5^][5] Modalités de participation * Encouragement des questions * Cycle de travail sur les outils numériques + [00:09:01][^6^][6] Définition académique d'un commun * Trois piliers : ressource, communauté, gouvernance * Exemples de communs numériques + [00:13:20][^7^][7] Panorama institutionnel * Diverses institutions impliquées dans les communs numériques * Exemples européens et français + [00:20:36][^8^][8] Distinction entre Open Data, Open Source et commun numérique * Explication des termes * Importance de la gouvernance des données Résumé de la vidéo [00:23:01][^1^][1] - [00:45:09][^2^][2]:

      La partie 2 de la vidéo aborde la logique d'Open Data, d'OP source, et de commun numérique dans le contexte français, en mettant l'accent sur l'importance de l'ouverture, des licences variées, et de la gouvernance collective pour le partage des ressources numériques.

      Points forts: + [00:23:01][^3^][3] Open Data et OP source * Accès libre aux logiciels * Licences variées + [00:23:37][^4^][4] Commun numérique * Service de sa communauté * Pas nécessairement ouvert + [00:25:02][^5^][5] Avantages du numérique * Effets de réseau * Coûts de réplication faibles + [00:27:00][^6^][6] Gouvernance collective * Importance de la fédération * Gestion de la ressource + [00:31:11][^7^][7] Exemples concrets * Affluence TC à Grenoble * Intelligence artificielle dans les transports + [00:43:42][^8^][8] Politiques publiques par les communs * Réduction des coûts * Transparence et pérennité Résumé de la vidéo [00:45:11][^1^][1] - [01:05:36][^2^][2]:

      La vidéo discute de l'importance de rendre les données de réglementation routière accessibles et utilisables pour les collectivités, en particulier pour l'intégration dans les systèmes GPS. Elle souligne la nécessité d'une collaboration communautaire pour créer une base de données exhaustive et utile.

      Points forts: + [00:45:11][^3^][3] Accessibilité des données * Simplifier l'utilisation des données pour les collectivités * Créer des outils de navigation intuitifs + [00:46:01][^4^][4] Intégration GPS * Intégrer les règles de circulation dans les GPS * Adapter la navigation aux spécificités des véhicules + [00:47:03][^5^][5] Avantages logistiques * Faciliter la traduction des règlements pour les chauffeurs étrangers * Améliorer la coordination entre les services de gestion du réseau + [00:48:00][^6^][6] Applications futures * Imaginer des usages réglementaires dynamiques * Permettre une créativité réglementaire avec les données numériques Résumé de la vidéo [01:05:38][^1^][1] - [01:25:41][^2^][2]:

      Cette vidéo discute des incitations financières pour le covoiturage en France, des défis de fraude et de la création d'un registre de preuve de covoiturage pour sécuriser les trajets et encourager l'adoption du covoiturage.

      Points forts: + [01:05:38][^3^][3] Incitations pour le covoiturage * Gratuité pour les passagers * Rémunération pour les conducteurs + [01:06:14][^4^][4] Forfait mobilité durable * Jusqu'à 800 € par an pour les salariés + [01:06:28][^5^][5] Primes de l'État * 100 € pour les nouveaux covoitureurs + [01:07:10][^6^][6] Défis de fraude * Risques liés aux incitations financières + [01:07:58][^7^][7] Registre de preuve de covoiturage * Infrastructure numérique contre la fraude + [01:11:02][^8^][8] Communauté et gouvernance * Plus de 700 collectivités impliquées Résumé de la vidéo [01:15:00][^1^][1] - [01:22:59][^2^][2]:

      La vidéo aborde le concept des communs numériques, leur importance dans la transition écologique et la mobilité, et comment ils favorisent la coopération entre divers acteurs. Elle souligne l'importance de la gouvernance collective et présente des exemples concrets de communs numériques dans le secteur des transports.

      Points clés: + [01:15:00][^3^][3] Définition des communs numériques * Trois piliers : ressource partagée, communauté hétérogène, règles de gouvernance + [01:17:00][^4^][4] Exemples de communs numériques * Open Street Map, logiciels, données, serveurs + [01:19:00][^5^][5] Institutions et communs numériques * Directions ministérielles, agences nationales, collectivités + [01:21:00][^6^][6] Différence entre Open Data, Open Source et communs numériques * Open Data : données en accès libre; Open Source : code source ouvert; Communs numériques : gestion collective de ressources numériques

  4. Dec 2023
  5. Sep 2023
  6. Aug 2023
    1. So far, smart city systems are being set up to appropriate and commercialize individual and community data. So far, communities are not waking up to the realization that a capacity they need is being stolen from them before they have it.”
      • for: smart cities, doughnut cities, cosmolocal, downscaled planetary boundaries, cross-scale translation of earth system boundaries, TPF, community data, local data, open data, community data ownership, quote, quote - Garth Graham, quote - community owned data
      • quote
      • paraphrase
        • Innovation in the creation and sustainability of social institutions acts predominantly at the local level.
        • In the Internet of Things, for those capacities to emerge in smart cities, communities need the capacity to own and analyse the data created that models what they are experiencing.
        • Local data needs to be seen as a common, pool resource.
        • Where that occurs, communities will have the capacity to learn or innovate their way forward.
        • So far, smart city systems are being set up to appropriate and commercialize individual and community data.
        • So far, communities are not waking up to the realization that a capacity they need is being stolen from them before they have it.
      • author: Garth Graham
        • leader of Telecommunities Canada
  7. Jul 2023
    1. Aktive Kompetenz

      Offene Metadaten für (eigene) Publikationen selbst zu produzieren bzw. zu pflegen und in der eigenen Wisskomm zu verwenden (z.B. für Nachrichten mit Thumbnails in Social Medias) ist m.E. eine Aktivität und Strategie, die am Rande hier mit Erwähnung finden könnte, vgl. https://redaktionsblog.hypotheses.org/5219 ++ selbsr erschleßen mit https://scholia.toolforge.org/doi/ + 10.17175/wp_2023b führt zu https://scholia.toolforge.org/doi/10.17175/wp_2023b, vgl. das Workshopbeispiel: https://de.wikiversity.org/wiki/Open_Science_Festival/Forschen_im_Wikiversum_(2023)#Publizieren_und_Erschlie%C3%9Fen

  8. May 2023
    1. Open data (within constraints of privacy laws) – For an infrastructure to be forked it will be necessary to replicate all relevant data. The CC0 waiver is best practice in making data legally available. Privacy and data protection laws will limit the extent to which this is possible

      {Open Data}

  9. Apr 2023
    1. Recommended Resource

      I recommend adding the webpage "Open Access in Australia" on Wikiwand that documents Australia's history for accepting and promoting open access and open publication in its country.

      The site contains a timeline that documents key years in which the open movement, open access, open government, and open data concepts were introduced. The year that CC Australia was established is included in the timeline.

    1. **Recommend Resource: ** Under the "More Information About Other Open Movements" I recommended adding Higashinihon Daishinsai Shashin Hozon Purojekuto, (trans. Great Earthquake of Eastern Japan Photo Archiving Project) which is one of Japan's open government and open data efforts to document all photographs about Japan's 2011 earthquake.

      The site currently contains close to 40,000 photographs of the aftermath of the natural disaster.

      The photos are hosted by Yahoo! Japan and are published under non-commercial clause for open access to the public.

  10. Nov 2022
  11. Aug 2022
  12. Jul 2022
    1. Documentazione

      Il problema di questa sezione è derubricare i modelli dati come documentazione. Le ontologie di ontopia (parlo di modelli non tanto di dati come i vocabolari controllati) sono machine-readable. Quindi non è solo una questione di documentare la sintassi o il contenuto del dato. È rendere il modello actionable, ossia leggibile e interpretabile dalle macchine stesse. Io potrei benissimo documentare dei dataset con una bella tabellina in Github o con tante tabelline in un bellissimo PDF (documentazione), ma non è la stessa cosa di rendere disponibile un'ontologia per dei dati. Rendere i modelli parte attiva della gestione del dato (come per le ontologie) significa abilitare l'inferenza che avete richiamato sopra in maniera impropria per me, ma anche utilizzarli per explainable AI e tanti altri usi. Questo è un concetto fondamentale che non può essere trattato così in linee guida nazionali. Dovrebbe anzi avere un capitolo suo dedicato, vista l'importanza anche in ottica data quality "compliance" caratteristica di qualità dello standard ISO/IEC 25012.

    2. Nel caso a), il soggetto ha tutti gli elementi per rappresentare il proprio modello dati; viceversa, nei casi b) e c), la stessa amministrazione, in accordo con AgID, valuta l’opportunità di estendere il modello dati a livello nazionale.

      Tutta la parte di modellazione dati, anche attraverso il catalogo nazionale delle ontologie e vocabolari controllati, sembra ora in mano a ISTAT, titolare, insieme al Dipartimento di Trasformazione Digitale di schema.gov.it. Qui però sembra AGID abbia il ruolo di definire i vari modelli. Secondo me questo crea confusione. bisognerebbe coordinarsi anche con le altre amministrazioni per capire bene chi fa cosa. AGID al momento di OntoPiA gestisce solo un'infrastruttura fisica.

    3. Utilizzando il framework RDF, si può costruire un grafo semantico, noto anche come grafo della conoscenza, che può essere percorso dalle macchine risolvendo, cioè dereferenziando, gli URI HTTP. Ciò significa che è possibile estrarre automaticamente informazione e derivare, quindi, contenuto informativo aggiuntivo (inferenza).

      Non è che fate inferenza perché dereferenziate gli URI. Vi suggerisco di leggere bene le linee guida per l'interoperablità semantica attraverso i linked open data che spiega cosìè l'inferenza (e questa sì fa parte di un processo di arricchimento nel mondo linked open data). L'inferenza è una cosa più complessa che si può fare con ragionatori automatici e query sparql. Si possono dedurre nuove informazioni dati dati esistenti e soprattutto dalle ontologie che sono oggetti machine readable!

  13. Jun 2022
    1. È importante notare che nella pratica si ritiene a volte necessario passare da modelli di rappresentazione tradizionali come quello relazionale per la modellazione dei dati operando opportune trasformazioni per poi renderli disponibili secondo i principi dei Linked Open Data. Tuttavia, tale pratica non è necessariamente quella più appropriata: esistono situazioni per cui può essere più conveniente partire da un’ontologia del dominio e che si intende modellare e dall’uso di standard del web semantico per poter governare i processi di gestione dei dati.

      Non trovo utilità in quanto qui scritto onestamente. Molti più sistemi sono ormai linked open data nativi, quindi oltre al fatto che parlare di linked open data in arricchimento è sbagliato, direi di lasciar perdere questo periodo.

    2. utilizzano diversi standard e tecniche, tra cui il framework RDF

      rifraserei in "si basano su diversi standard, tra cui RDF, e spesso usano vocabolari controllati RDF per rappresentare terminologia controllata del dominio applicativo di riferimento"

    3. a formati di dati a quattro stelle come le serializzazioni RDF o il JSON-LD

      JSON-LD è una serializzazione RDF nel mondo JSON. Occhio che qui la traduzione in italiano del documento del publications office non è venuta fuori bene (loro dicono data format such as RDF or JSON-LD che sarebbe anche impreciso. RDF è un modello di rappresentazione del dato nel Web. Le serializzazioni RDF sono tipo Ntriple, RDF/Turtle, RDF/XML, JSON-LD). Tra l'altro nell'allegato tecnico sui formati per i dati aperti, testo preso dalla precedente linee guida, JSON-LD è indicato come serializzazione RDF.

    4. linked data

      Sono open o no?

    5. il linking è una funzionalità molto importante e di fatto può essere considerata una forma particolare di arricchimento. La particolarità consiste nel fatto che l’arricchimento avviene grazie all’interlinking fra dataset di origine diversa, tipicamente fra amministrazioni o istituzioni diverse, ma anche, al limite, all’interno di una stessa amministrazione”

      Qui c'è un problema di fondo proprio concettuale. Il problema è che il paradigma dei Linked Open Data è stato derubricato come arricchimento, che nelle linee guida che si cita qui era solo una fase di un processo generale per la gestione dei dati linked open data. Fare linked open data non vuol solo dire arricchire i dati, ma è possibile gestire un dato fin dalla sua nascita in linked open data nativamente. Questo era lo spirito delle linee guida qui citate. Estrapolando solo una parte avete snaturato un po' tutto. Consiglio di trattare l'argomento com'era trattato nelle precedenti linee guida. Peccato anche che sia sparita la figura della metropolitana che aiutava molto.

    6. Come detto, il collegamento (linking) dei dati può aumentarne il valore creando nuove relazioni e consentendo così nuovi tipi di analisi.

      Comunque, farei uno sforzo in più, con tutto quello che l'italia ha scritto sui linked open data, per scrivere frasi che non siano proprio paro paro la traduzione in italiano del documento in inglese.

  14. Apr 2022
  15. Mar 2022
    1. The statutemakes agency evidence-building plans, known as LearningAgendas, foundational to building a culture of evidencegeneration and use.
    1. The audit found that the CIO has limited insight into each Sector’s entire data holdings given a decentralized model, and lack of centralized guidance, standard definitions, and corporate data management system. CMSS representatives acknowledged that the NRCan Data Inventory is not a complete listing of NRCan datasets; however, it was found that it serves as a good starting point in identifying datasets held within the Department. However, per TBS guidance, a complete departmental inventory should include a list of all datasets even if they are identified as not eligible for release.
  16. Feb 2022
    1. Linked Data bezieht sich dabei auf die technische Aufbereitung der Daten, so dass eine Verknüpfung (Linking) der Daten möglich ist. Das dabei zum Einsatz kommende Datenmodell ist RDF, das ursprünglich für das Semantic Web entwickelt wurde.
    1. bbil-dung 2.8 zeigt einen Überblick über die sogenannte „Linking Open Data Cloud“

      Abbildung

    Tags

    Annotators

  17. Dec 2021
    1. AIMOS. (2021, November 30). How can we connect #metascience to established #science fields? Find out at this afternoon’s session at #aimos2021 Remco Heesen @fallonmody Felipe Romeo will discuss. Come join us. #OpenScience #OpenData #reproducibility https://t.co/dEW2MkGNpx [Tweet]. @aimos_inc. https://twitter.com/aimos_inc/status/1465485732206850054

  18. Nov 2021
    1. "The Guide to Social Science Data Preparation and Archiving is aimed at those engaged in the cycle of research, from applying for a research grant, through the data collection phase, and ultimately to preparation of the data for deposit in a public archive: " from tweet

  19. Jul 2021
  20. Jun 2021
  21. May 2021
  22. Apr 2021
  23. Mar 2021
  24. Feb 2021
  25. Nov 2020
  26. Oct 2020
  27. Sep 2020
  28. Aug 2020
    1. Ray, E. L., Wattanachit, N., Niemi, J., Kanji, A. H., House, K., Cramer, E. Y., Bracher, J., Zheng, A., Yamana, T. K., Xiong, X., Woody, S., Wang, Y., Wang, L., Walraven, R. L., Tomar, V., Sherratt, K., Sheldon, D., Reiner, R. C., Prakash, B. A., … Consortium, C.-19 F. H. (2020). Ensemble Forecasts of Coronavirus Disease 2019 (COVID-19) in the U.S. MedRxiv, 2020.08.19.20177493. https://doi.org/10.1101/2020.08.19.20177493

  29. Jul 2020
  30. Jun 2020
  31. May 2020
    1. The goal of the W3C Semantic Web Education and Outreach group's Linking Open Data community project is to extend the Web with a data commons by publishing various open datasets as RDF on the Web and by setting RDF links between data items from different data sources.
    2. The above diagram shows which Linking Open Data datasets are connected, as of August 2014.
    1. it buys, receives, sells, or shares the personal information of 50,000 or more consumers annually for the business’ commercial purposes. Since IP addresses fall under what is considered personal data — and “commercial purposes” simply means to advance commercial or economic interests — it is likely that any website with at least 50k unique visits per year from California falls within this scope.
  32. Apr 2020
    1. They are proof that our openness about our data formats means that you do not have to fear data lock-in.
    2. It’s this third way that we avoid lock-in that is relevant to today’s topic. Our data format design is specified well enough so that people with no connection to AgileBits can write software to be able to handle it.
    3. The second way we avoid locking you into 1Password is through the ability to export data to a more neutral format. Not all versions are yet where we want them to be with respect to export, and we’re working on that. But there is usually some path, if not always a simple click away, to export your 1Password data.
  33. Jan 2020
  34. Dec 2019
  35. Nov 2019
  36. Sep 2019
  37. Jul 2019
  38. Jun 2019
  39. May 2019
    1. Methodology The classic OSINT methodology you will find everywhere is strait-forward: Define requirements: What are you looking for? Retrieve data Analyze the information gathered Pivoting & Reporting: Either define new requirements by pivoting on data just gathered or end the investigation and write the report.

      Etienne's blog! Amazing resource for OSINT; particularly focused on technical attacks.

  40. Apr 2019
  41. Mar 2019
  42. www.archivogeneral.gov.co www.archivogeneral.gov.co
    1. Normalización de las entradas descriptivas: Personas, Lugares, Instituciones (utilización de Linked Open Data (LOD) cuando sea posible.

      ¿Qué sistema de organización de conocimiento se los posibilita? ¿Qué están usando para enlazar datos y en qué formato?

  43. Aug 2018
    1. City Data Exchange is a public-private partnership that explores the possibilities of data exchange. The project investigates the purchase, sale and sharing of a wide variety of data types between different types of users in the city - citizens, public institutions and private companies. The project is a collaboration between the City of Copenhagen, the Capital Region, CLEAN and Hitachi. The idea behind the cooperation is to create a data hub that supports innovation, and which improves the quality of life in the Copenhagen area. The project aims at establishing a marketplace for data owned by both public authorities and private companies. In this way, the project aims to enable large, small and medium-sized enterprises, start-up companies, universities and the public sector to collaborate by consolidating several sources of information. So far, the project has conducted several experiments aimed at organizational and technical setup of a computer market. The technical part of this can be seen on the platform developed by Hitachi, citydataexchange.com .
    1. Open Data DK is a union consisting of a number of Danish municipalities and regions aimed at making public data open and accessible for citizens and businesses. The goal is to increase transparency in public administration and support data-driven growth. The Copenhagen portal for city data contains information about infrastructure, traffic, cultural events and much more. You can find the portal here .
  44. Jun 2018
    1. webinar

      per chi fosse interessato/a a webinar registrati su "open data" a questo link è disponibile un catalogo di diverse decine di appuntamenti formativi già effettuati molto utili

  45. May 2018
    1. “In short, they have no history of supporting the machine learning research community and instead they are viewed as part of the disreputable ecosystem of people hoping to hype machine learning to make money.”

      Whew. Hot.

  46. Nov 2017
    1. An institution has implemented a learning management system (LMS). The LMS contains a learning object repository (LOR) that in some aspects is populated by all users across the world  who use the same LMS.  Each user is able to align his/her learning objects to the academic standards appropriate to that jurisdiction. Using CASE 1.0, the LMS is able to present the same learning objects to users in other jurisdictions while displaying the academic standards alignment for the other jurisdictions (associations).

      Sounds like part of the problem Vitrine technologie-éducation has been tackling with Ceres, a Learning Object Repository with a Semantic core.

    1. Open Referral : faciliter l’accès aux services sociaux pour les personnes dans le besoinLa rencontre a permis aussi de s’intéresser à des standards plus « grassroots », élaborés par la société civile en fonction de ses besoins. C’est le cas d’Open Referral, un standard élaboré aux Etats-Unis par Greg Bloom pour répondre à un problème essentiel : les personnes dans le besoin ont le plus grand mal à trouver les informations sur les services sociaux à leur disposition. A l’heure actuelle, tous les services d’aides sociales constituent leurs propres bases de données et se plaignent de leur incomplétude. Pour y répondre, Open Referral propose un standard de données pour déterminer : quel organisme propose quel service social ? Où, quand et comment y accéder ? Plutôt que de proposer une application qui répond à ces questions, Open Referral tente de développer un écosystème autour de ses données pour que les personnes dans le besoin trouvent l’information, quel que soit le service dans lequel elles cherchent. A Chicago, Open Referral a permis le lancement de plusieurs services autour des données ouvertes par Purple Binder, un annuaire des services sociaux. Le standard en est à ses débuts mais, pour Open Referral, l’incertitude porte sur le modèle économique : comment générer des revenus tout en augmentant l’impact social par l’ouverture des données ?
  47. Sep 2017
    1. We’re delighted to announce that the California Digital Library has been awarded a 2-year NSF EAGER grant to support active, machine-actionable data management plans (DMPs).
    1. .Theopendatadefinitionthatemergedfocusedoneightqualitiesofdata:completeness,pri-macy,timeliness,easeofphysicalandelectronicaccess,machinereadability,non-discrimination,useofcommonlyownedstandards,licensing,permanence,andusagecosts.
    1. Open data, like open information before it, promised fixes for bureaucratic problems and leveling power asymmetries (Fenster, 2012). Municipal governments strapped for funds and in dire need of more efficient frameworks have, of course, welcomed the message that open government data can alleviate time-consuming FOIA requests, make services easier for residents to use, and drive hack-athons as a form of public outreach.

      Interesante ver cómo CfA ha permitido el tránsito del sector ONG al público (ver párrafo anterior).

    2. The open data definition drafted at Sebastopol describes data’s completeness, primacy, timeliness, ease of physical and electronic access, machine readability, non-discrimination, use of commonly owned standards, licensing, permanence, and usage costs. This description made it clear what the proper-ties of data were, even as outcomes, fitting with an open-source model, were more

      [...] ambitious

    3. His stance was not cyberlibertarian (Barbrook and Cameron, 1996). As his successive refutation of transparency in this shift toward open data indicates (Lessig, 2009), he was quite concerned about efforts with software becoming distanced from tangible outcomes. Lessig might regarded as a hacker in the mold of Tim Jordan (2008), taking a progressive perspective on how we might regulate technologies—alongside laws, norms, and markets—that affect behavior.
  48. May 2017
    1. What is clear, is that data are increasingly conceptualized as inherently valuable products of scientific research, rather than as components of the research process

      Data is beginning to be seen as valuable rather than a left-hand component of the research process.

    2. the vast majority of scientific data generated in the 20th century have only been accessed by small groups of experts; and few of those data, selected in relation to the inferences made, have been made publicly available in scientific journal

      The vast majority of data is accessed only by the investigators

    3. The real prize for society is not simply producing open data but facilitating open innovation. Open data enables a situation where the collective genius of thousands of researchers produces insights and analyses, inventions and understanding beyond what isolated individuals with their silos of data could produce.

      Shadbolt on what open data means

    1. a tax plan

      Simplify the tax code.

      Evolve public accounting/finance into a more real-time, open, and interactive public service. Transaction-level financial data should be available internally and externally.

      Participatory budgeting and other forms of public input should be well-factored into the public-planning process. 21st century government participation can be simplified and enriched at the same time.

  49. Feb 2017
  50. Oct 2016
  51. Sep 2016
    1. (Crazy app uptake + riding data + math wizardry = many surprises in store.)

      Like Waze for public transit? Way to merge official Open Data from municipal authorities with the power of crowdsourcing mass transportation.

    1. Data sharing over open-source platforms can create ambiguous rules about data ownership and publication authorship, or raise concerns about data misuse by others, thus discouraging liberal sharing of data.

      Surprising mention of “open-source platforms”, here. Doesn’t sound like these issues are absent from proprietary platforms. Maybe they mean non-institutional platforms (say, social media), where these issues are really pressing. But the wording is quite strange if that is the case.

  52. Jul 2016
  53. Jun 2016
  54. May 2016
  55. Apr 2016
    1. SocialBoost — is a tech NGO that promotes open data and coordinates the activities of more than 1,000 IT-enthusiasts, biggest IT-companies and government bodies in Ukraine through hackathons for socially meaningful IT-projects, related to e-government, e-services, data visualization and open government data. SocialBoost has developed dozens of public services, interactive maps, websites for niche communities, as well as state projects such as data.gov.ua, ogp.gov.ua. SocialBoost builds the bridge between civic activists, government and IT-industry through technology. Main goal is to make government more open by crowdsourcing the creation of innovative public services with the help of civic society.
    1. To date 5'-cytosine methylation (5mC) has not been reported in Caenorhabditis elegans, and using ultra-performance liquid chromatography/tandem mass spectrometry (UPLC-MS/MS) the existence of DNA methylation in T. spiralis was detected, making it the first 5mC reported in any species of nematode.

      As a novel and potentially controversial finding, the huge amounts of supporting data are depositedhere to assist others to follow on and reproduce the results. This won the BMC Open Data Prize, as the judges were impressed by the numerous extra steps taken by the authors in optimizing the openness and easy accessibility of this data, and were keen to emphasize that the value of open data for such breakthrough science lies not only in providing a resource, but also in conferring transparency to unexpected conclusions that others will naturally wish to challenge. You can see more in the blog posting and interview with the authors here: http://blogs.biomedcentral.com/gigablog/2013/10/02/open-data-for-the-win/

  56. Mar 2016
    1. Open data

      Sadly, there may not be much work on opening up data in Higher Education. For instance, there was only one panel at last year’s international Open Data Conference. https://www.youtube.com/watch?v=NUtQBC4SqTU

      Looking at the interoperability of competency profiles, been wondering if it could be enhanced through use of Linked Open Data.

  57. Feb 2016
  58. Jan 2016
    1. It doesn’t work if we think the people who disagree with us are all motivated by malice, or that our political opponents are unpatriotic.  Democracy grinds to a halt without a willingness to compromise; or when even basic facts are contested, and we listen only to those who agree with us. 

      C'mon, civic technologists, government innovators, open data advocates: this can be a call to arms. Isn't the point of "open government" to bring people together to engage with their leaders, provide the facts, and allow more informed, engaged debate?

    1. Guidelines for publishing GLAM data (galleries, libraries, archives, museums) on GitHub. It applies to publishing any kind of data anywhere.

      • Document the schema of the data.
      • Make the usage terms and conditions clear.
      • Tell people how to report issues.<br> Or, tell them that they're on their own.
      • Tell people whether you accept pull requests (user-contributed edits and additions), and how.
      • Tell people how often the data will be updated, even if the answer is "sporadically" or "maybe never".

      https://en.wikipedia.org/wiki/Open_Knowledge<br> http://openglam.org/faq/

  59. Dec 2015
    1. The EDUPUB Initiative VitalSource regularly collaborates with independent consultants and industry experts including the National Federation of the Blind (NFB), American Foundation for the Blind (AFB), Tech For All, JISC, Alternative Media Access Center (AMAC), and others. With the help of these experts, VitalSource strives to ensure its platform conforms to applicable accessibility standards including Section 508 of the Rehabilitation Act and the Accessibility Guidelines established by the Worldwide Web Consortium known as WCAG 2.0. The state of the platform's conformance with Section 508 at any point in time is made available through publication of Voluntary Product Accessibility Templates (VPATs).  VitalSource continues to support industry standards for accessibility by conducting conformance testing on all Bookshelf platforms – offline on Windows and Macs; online on Windows and Macs using standard browsers (e.g., Internet Explorer, Mozilla Firefox, Safari); and on mobile devices for iOS and Android. All Bookshelf platforms are evaluated using industry-leading screen reading programs available for the platform including JAWS and NVDA for Windows, VoiceOver for Mac and iOS, and TalkBack for Android. To ensure a comprehensive reading experience, all Bookshelf platforms have been evaluated using EPUB® and enhanced PDF books.

      Could see a lot of potential for Open Standards, including annotations. What’s not so clear is how they can manage to produce such ePub while maintaining their DRM-focused practice. Heard about LCP (Lightweight Content Protection). But have yet to get a fully-accessible ePub which is also DRMed in such a way.

    1. Among the most useful summaries I have found for Linked Data, generally, and in relationship to libraries, specifically. After first reading it, got to hear of the acronym LODLAM: “Linked Open Data for Libraries, Archives, and Museums”. Been finding uses for this tag, in no small part because it gets people to think about the connections between diverse knowledge-focused institutions, places where knowledge is constructed. Somewhat surprised academia, universities, colleges, institutes, or educational organisations like schools aren’t explicitly tied to those others. In fact, it’s quite remarkable that education tends to drive much development in #OpenData, as opposed to municipal or federal governments, for instance. But it’s still very interesting to think about Libraries and Museums as moving from a focus on (a Web of) documents to a focus on (a Web of) data.

  60. Nov 2015
  61. Oct 2015
    1. If you deal with PDFs online, you’ve probably noticed that some are different from others. Some are really just images.

      First step in Linked Open Data is moving away from image PDFs.

    1. The second level of Open Access is Gold Open Access, which requires the author to pay the publishing platform a fee to have their work placed somewhere it can be accessed for free. These fees can range in the hundreds to thousands of dollars.

      Not necessarily true. This is a misconception. "About 70 percent of OA journals charge no APCs at all. We’ve known this for a decade but it’s still widely overlooked by people who should know better." -Suber http://lj.libraryjournal.com/2015/09/opinion/not-dead-yet/an-interview-with-peter-suber-on-open-access-not-dead-yet/#_

  62. Aug 2015
    1. Shared information

      The “social”, with an embedded emphasis on the data part of knowledge building and a nod to solidarity. Cloud computing does go well with collaboration and spelling out the difference can help lift some confusion.

  63. Apr 2015
    1. The best currently available evidence shows that the methods and results of clinical trials are routinely withheld from doctors, researchers, and patients [2–5], undermining our best efforts at informed decision making.
  64. Feb 2015
  65. Dec 2014
  66. Nov 2014
    1. If we believe in equality, if we believe in participatory democracy and participatory culture, if we believe in people and progressive social change, if we believe in sustainability in all its environmental and economic and psychological manifestations, then we need to do better than slap that adjective “open” onto our projects and act as though that’s sufficient or — and this is hard, I know — even sound.
    2. that the moments when students generate “education data” is, historically, moments when they come into contact with the school and more broadly the school and the state as a disciplinary system