A small tool to view real-world ActivityPub objects as JSON! Enter a URL
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Accept
header
to the server to view the underlying object.
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"content": "<p>"this review covers the wide range of metadata standards relevant to reproducible computational research across an “analytic stack” consisting of input data, tools, reports, pipelines, and publications."</p><p><a href=\"https://ifwo.eu/tags/Matrix\" class=\"mention hashtag\" rel=\"tag\">#<span>Matrix</span></a> die <a href=\"https://ifwo.eu/tags/Eingenschaft\" class=\"mention hashtag\" rel=\"tag\">#<span>Eingenschaft</span></a>en des <a href=\"https://ifwo.eu/tags/Zusammenspiel\" class=\"mention hashtag\" rel=\"tag\">#<span>Zusammenspiel</span></a>s von <a href=\"https://ifwo.eu/tags/Daten\" class=\"mention hashtag\" rel=\"tag\">#<span>Daten</span></a> und <a href=\"https://ifwo.eu/tags/Code\" class=\"mention hashtag\" rel=\"tag\">#<span>Code</span></a> auf <a href=\"https://ifwo.eu/tags/Reproduzierbarkeit\" class=\"mention hashtag\" rel=\"tag\">#<span>Reproduzierbarkeit</span></a>, <a href=\"https://ifwo.eu/tags/Wiederholbarkeit\" class=\"mention hashtag\" rel=\"tag\">#<span>Wiederholbarkeit</span></a>, <a href=\"https://ifwo.eu/tags/Robustheit\" class=\"mention hashtag\" rel=\"tag\">#<span>Robustheit</span></a> und <a href=\"https://ifwo.eu/tags/Generalisierbarkeit\" class=\"mention hashtag\" rel=\"tag\">#<span>Generalisierbarkeit</span></a> zurechnet.</p><p><a href=\"https://www.sciencedirect.com/science/article/pii/S2666389921001707\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://www.</span><span class=\"ellipsis\">sciencedirect.com/science/arti</span><span class=\"invisible\">cle/pii/S2666389921001707</span></a></p><p><a href=\"https://ifwo.eu/tags/reproduzieren\" class=\"mention hashtag\" rel=\"tag\">#<span>reproduzieren</span></a> <a href=\"https://ifwo.eu/tags/wiederholen\" class=\"mention hashtag\" rel=\"tag\">#<span>wiederholen</span></a> <a href=\"https://ifwo.eu/tags/robust\" class=\"mention hashtag\" rel=\"tag\">#<span>robust</span></a> <a href=\"https://ifwo.eu/tags/Generalisierung\" class=\"mention hashtag\" rel=\"tag\">#<span>Generalisierung</span></a> <a href=\"https://ifwo.eu/tags/generell\" class=\"mention hashtag\" rel=\"tag\">#<span>generell</span></a> <a href=\"https://ifwo.eu/tags/Validit%C3%A4t\" class=\"mention hashtag\" rel=\"tag\">#<span>Validität</span></a></p>",
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"name": "Dies ist eine 2x2-Matrix-Tabelle, die verschiedene Begriffe der Datenanalyse und Programmierung kategorisiert.\nTabellenstruktur:\nSpalten (Data):\n\nSame (Gleich)\nDifferent (Unterschiedlich)\n\nZeilen (Code):\n\nSame (Gleich)\nDifferent (Unterschiedlich)\n\nInhalt der vier Felder:\nOben links (Same Code, Same Data): Reproducible (Reproduzierbar)\n\nGleicher Code mit gleichen Daten führt zu reproduzierbaren Ergebnissen\n\nOben rechts (Same Code, Different Data): Replicable (Replizierbar)\n\nGleicher Code mit unterschiedlichen Daten ermöglicht Replikation\n\nUnten links (Different Code, Same Data): Robust (Robust)\n\nUnterschiedlicher Code mit gleichen Daten zeigt Robustheit der Methode\n\nUnten rechts (Different Code, Different Data): Generalisable (Generalisierbar)\n\nUnterschiedlicher Code mit unterschiedlichen Daten ermöglicht Generalisierung\n\nFarbschema: Die Tabelle verwendet Türkis-/Blaugrün-Töne, wobei die Kopfzeilen dunkler und die Inhaltsfelder heller gefärbt sind.\nDiese Matrix veranschaulicht wichtige Konzepte der wissenschaftlichen Reproduzierbarkeit und Methodenvalidierung.",
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