{"id":25422,"date":"2022-11-04T15:01:38","date_gmt":"2022-11-04T18:01:38","guid":{"rendered":"https:\/\/mindthegraph.com\/blog\/scientific-writing-copy\/"},"modified":"2022-11-21T15:53:47","modified_gmt":"2022-11-21T18:53:47","slug":"research-data","status":"publish","type":"post","link":"https:\/\/mindthegraph.com\/blog\/hu\/kutatasi-adatok\/","title":{"rendered":"Kutat\u00e1si adatok p\u00e9ld\u00e1kkal magyar\u00e1zva"},"content":{"rendered":"<p>A probl\u00e9m\u00e1k megold\u00e1s\u00e1hoz \u00e9s a jelens\u00e9g le\u00edr\u00e1s\u00e1hoz a kutat\u00f3k nagym\u00e9rt\u00e9kben t\u00e1maszkodnak az adatokra. Sz\u00e1mos k\u00e9rd\u00e9sre a v\u00e1laszok a kutat\u00e1si adatokb\u00f3l sz\u00e1rmaznak. Hogyan v\u00e1laszoln\u00e1l egy k\u00e9rd\u00e9sre, ha kezdetben nem lenn\u00e9nek adatok? Az adatok b\u00e1ny\u00e1szat\u00e1val \u00e9rdekes mint\u00e1kat fedezhet fel, \u00e9s rengeteg inform\u00e1ci\u00f3t t\u00e1rhat fel.<\/p>\n\n\n\n<p>Az \u00e1ltaluk l\u00e9trehozott inform\u00e1ci\u00f3kat befoly\u00e1solj\u00e1k az \u00e1ltaluk felt\u00e1rt adatok, c\u00e9ljaik \u00e9s olvas\u00f3ik szempontjai. A kutat\u00f3knak mindig elfogulatlannak kell maradniuk, amikor gondosan felt\u00e1rj\u00e1k az adatokat, \u00e9s fog\u00e9konyak maradnak az ismeretlen tendenci\u00e1kra, fogalmakra \u00e9s eredm\u00e9nyekre. N\u00e9zz\u00fck meg, mi is az a kutat\u00e1si adat, \u00e9s melyek a kateg\u00f3ri\u00e1k.<\/p>\n\n\n\n<h2>Mi az a kutat\u00e1si adat?<\/h2>\n\n\n\n<p>A kutat\u00e1si adatok az eredeti kutat\u00e1si eredm\u00e9nyek hiteless\u00e9g\u00e9nek meger\u0151s\u00edt\u00e9se \u00e9rdek\u00e9ben gy\u0171jt\u00f6tt, dokument\u00e1lt, \u00f6ssze\u00e1ll\u00edtott vagy el\u0151\u00e1ll\u00edtott inform\u00e1ci\u00f3k. A kutat\u00e1si adatok, bele\u00e9rtve a levelez\u00e9si bejegyz\u00e9seket \u00e9s a laborat\u00f3riumi feljegyz\u00e9seket, gyakran digit\u00e1lisak, de lehetnek nem digit\u00e1lisak is.<\/p>\n\n\n\n<p>A kutat\u00e1si adatok t\u00f6bbr\u0151l sz\u00f3lnak, mint egyszer\u0171 sz\u00e1mokr\u00f3l. Kutat\u00e1si adatoknak min\u0151s\u00fcl minden olyan anyag, amelyet kutat\u00e1si c\u00e9lokra haszn\u00e1lnak \u00e9s elemeznek. A \"kutat\u00e1si anyagok\" kifejez\u00e9st egyes tudom\u00e1nyter\u00fcleteken gyakrabban haszn\u00e1lj\u00e1k, mint a \"kutat\u00e1si adatokat\".&nbsp;<\/p>\n\n\n\n<p>A kutat\u00e1si adatok gy\u0171jt\u00e9s\u00e9nek sz\u00e1mos m\u00f3dja van. Nincs korl\u00e1tja annak, hogy egy kutat\u00f3 munk\u00e1j\u00e1b\u00f3l mennyi kutat\u00e1si adat nyerhet\u0151. Sokf\u00e9le adat l\u00e9tezik, p\u00e9ld\u00e1ul videoklipek, statisztik\u00e1k, grafikonok, \u00e1tiratok, hangf\u00e1jlok, \u00e1t\u00edrt interj\u00fak, k\u00eds\u00e9rletek adatai, programok k\u00f3dja \u00e9s sok m\u00e1s.<\/p>\n\n\n\n<h2>&nbsp;P\u00e9ld\u00e1k kutat\u00e1si adatokra<\/h2>\n\n\n\n<p>A kutat\u00e1si adatok gy\u0171jt\u00e9s\u00e9nek sz\u00e1mos m\u00f3dja van. \u00cdme n\u00e9h\u00e1ny lehet\u0151s\u00e9g:<\/p>\n\n\n\n<ul>\n<li>F\u00e1jlok, p\u00e9ld\u00e1ul dokumentumok \u00e9s t\u00e1bl\u00e1zatok<\/li>\n\n\n\n<li>Laborat\u00f3riumi jegyzetf\u00fczetek, terepgyakorlatok \u00e9s napl\u00f3k<\/li>\n\n\n\n<li>K\u00f3dk\u00f6nyvek, \u00e1t\u00edrt interj\u00fak \u00e9s k\u00e9rd\u0151\u00edvek<\/li>\n\n\n\n<li>Vide\u00f3- \u00e9s hangszalagok<\/li>\n\n\n\n<li>K\u00e9pek, videofelv\u00e9telek<\/li>\n\n\n\n<li>A vizsg\u00e1lat eredm\u00e9nyei<\/li>\n\n\n\n<li>Egy dia, egy t\u00e1rgy, egy \"minta\" vagy egy \"esettanulm\u00e1ny\".<\/li>\n\n\n\n<li>Digitaliz\u00e1lt kimeneti arch\u00edvumok<\/li>\n\n\n\n<li>Bemeneti\/kimeneti adatok<\/li>\n\n\n\n<li>Algoritmus vagy modell<\/li>\n\n\n\n<li>Megjegyz\u00e9sek<\/li>\n\n\n\n<li>A szoftver bemeneteinek, kimeneteinek, napl\u00f3f\u00e1jljainak, adatstrukt\u00far\u00e1inak elemz\u00e9se<\/li>\n\n\n\n<li>Folyamatok \u00e9s m\u00f3dszerek<\/li>\n<\/ul>\n\n\n\n<h2>Mi\u00e9rt fontos a kutat\u00e1si adatok megoszt\u00e1sa?<\/h2>\n\n\n\n<p>Az adatok megoszt\u00e1sa a m\u00e1r k\u00f6zz\u00e9tett kutat\u00e1sok megism\u00e9tl\u00e9se helyett el\u0151ny\u00f6s m\u00f3dja annak, hogy a kutat\u00f3t\u00e1rsak munk\u00e1j\u00e1ra \u00e9p\u00edtsenek. A kutat\u00e1si t\u00e9m\u00e1k az adatok megoszt\u00e1s\u00e1val meta-anal\u00edzisre is sor ker\u00fclhet. A kutat\u00e1si eredm\u00e9nyek nyilv\u00e1nos megoszt\u00e1sa ma m\u00e1r sz\u00e1mos finansz\u00edroz\u00f3 \u00fcgyn\u00f6ks\u00e9g \u00e9s int\u00e9zm\u00e9ny k\u00f6vetelm\u00e9nye.&nbsp;<\/p>\n\n\n\n<p>A kutat\u00e1si \u00f6kosziszt\u00e9m\u00e1n bel\u00fcl az adatok jobb adatmegoszt\u00e1s, \u00e1tl\u00e1that\u00f3s\u00e1g \u00e9s az inform\u00e1ci\u00f3k hozz\u00e1f\u00e9rhet\u0151s\u00e9ge r\u00e9v\u00e9n javul az adatok terjeszt\u00e9se \u00e9s felhaszn\u00e1l\u00e1sa. Ennek eredm\u00e9nyek\u00e9ppen a k\u00f6zpolitika \u00e9s a tervez\u00e9s a jobb min\u0151s\u00e9g\u0171, k\u00f6nnyebben hozz\u00e1f\u00e9rhet\u0151 t\u00e9nyeknek k\u00f6sz\u00f6nhet\u0151en t\u00e1j\u00e9kozottabb\u00e1 v\u00e1lhat.<\/p>\n\n\n\n<p>A kutat\u00f3 \u00e9s a kutat\u00e1s szponzora egyar\u00e1nt profit\u00e1lt az adatok megoszt\u00e1s\u00e1b\u00f3l. Ez arra \u00f6szt\u00f6nzi a kutat\u00f3kat, hogy jobban kezelj\u00e9k adataikat, \u00e9s biztos\u00edts\u00e1k az adatok magas min\u0151s\u00e9g\u00e9t, ha a koll\u00e9g\u00e1ik \u00e9s a nyilv\u00e1noss\u00e1g hozz\u00e1f\u00e9rhet hozz\u00e1juk. Az adatmegoszt\u00e1s \u00f6szt\u00f6nzi a tudatoss\u00e1got \u00e9s a tov\u00e1bbi kutat\u00e1st a szakter\u00fclet\u00fck\u00f6n. A kutat\u00e1s szponzorai \u00e9s a kutat\u00f3k az adatmegoszt\u00e1s el\u0151nyeit \u00e9lvezhetik az\u00e1ltal, hogy n\u00f6velik ismerts\u00e9g\u00fcket \u00e9s elismerts\u00e9g\u00fcket.<\/p>\n\n\n\n<p>A tudom\u00e1nyos k\u00f6z\u00f6ss\u00e9g nagym\u00e9rt\u00e9kben t\u00e1mogatja az adatmegoszt\u00e1st, de ennek megval\u00f3s\u00edt\u00e1sa sok id\u0151t, er\u0151fesz\u00edt\u00e9st \u00e9s er\u0151forr\u00e1st ig\u00e9nyel. Az adatok megoszt\u00e1sra val\u00f3 el\u0151k\u00e9sz\u00edt\u00e9s\u00e9hez fontos az adatgy\u0171jt\u00e9si m\u00f3dszerek \u00e9s a kutat\u00e1si eredm\u00e9nyek gondos dokument\u00e1l\u00e1sa.<\/p>\n\n\n\n<h2>A kutat\u00e1si adatok forr\u00e1sai<\/h2>\n\n\n\n<p>A kutat\u00e1si adatok el\u0151\u00e1ll\u00edt\u00e1sa t\u00f6bbf\u00e9le okb\u00f3l \u00e9s t\u00f6bbf\u00e9le m\u00f3dszerrel lehets\u00e9ges. Az al\u00e1bbiakban n\u00e9h\u00e1ny p\u00e9ld\u00e1t sorolunk fel:&nbsp;<\/p>\n\n\n\n<ul>\n<li><strong>Megfigyel\u00e9si adatok:<\/strong> A viselked\u00e9st vagy tev\u00e9kenys\u00e9get megfigyelik \u00e9s megfigyel\u00e9si adatk\u00e9nt r\u00f6gz\u00edtik. Az adatgy\u0171jt\u00e9sre k\u00fcl\u00f6nb\u00f6z\u0151 m\u00f3dszereket haszn\u00e1lnak, bele\u00e9rtve a megfigyel\u00e9st, a k\u00e9rd\u0151\u00edves felm\u00e9r\u00e9seket, valamint a megfigyel\u0151 eszk\u00f6z\u00f6k \u00e9s m\u0171szerek haszn\u00e1lat\u00e1t.<\/li>\n\n\n\n<li><strong>K\u00eds\u00e9rleti adatok:<\/strong>&nbsp;Amikor egy v\u00e1ltoz\u00f3t megv\u00e1ltoztatnak, a kutat\u00f3k c\u00e9lja, hogy akt\u00edv beavatkoz\u00e1ssal k\u00fcl\u00f6nbs\u00e9get teremtsenek vagy v\u00e1ltoz\u00e1st hozzanak l\u00e9tre. A kutat\u00f3k jellemz\u0151en k\u00eds\u00e9rleti adatok seg\u00edts\u00e9g\u00e9vel tudnak ok-okozati \u00f6sszef\u00fcgg\u00e9seket meghat\u00e1rozni, \u00e9s az eredm\u00e9nyeket sz\u00e9les k\u00f6rben tudj\u00e1k alkalmazni. Az ilyen t\u00edpus\u00fa adatok reproduk\u00e1l\u00e1s\u00e1hoz \u00e1ltal\u00e1ban k\u00f6lts\u00e9g kapcsol\u00f3dik.<\/li>\n\n\n\n<li><strong>Szimul\u00e1ci\u00f3s adatok:<\/strong> A sz\u00e1m\u00edt\u00f3g\u00e9pes modellek a szimul\u00e1ci\u00f3s adatok el\u0151\u00e1ll\u00edt\u00e1sa \u00e9rdek\u00e9ben val\u00f3s folyamatok id\u0151beli viselked\u00e9s\u00e9t ut\u00e1nozz\u00e1k. A kimeneti adatok fontosabbak, mint a metaadatok \u00e9s a tesztmodellekb\u0151l gener\u00e1lt modell.&nbsp;<\/li>\n\n\n\n<li><strong>Sz\u00e1rmaztatott\/\u00f6ssze\u00e1ll\u00edtott adatok:<\/strong>&nbsp; Kor\u00e1bbi adatmint\u00e1kb\u00f3l m\u00f3dos\u00edtott adatok. Elveszt\u00e9se eset\u00e9n reproduk\u00e1lhat\u00f3, de ennek k\u00f6lts\u00e9gei magasak lenn\u00e9nek. A h\u00e1romdimenzi\u00f3s modellek \u00e9s az adatb\u00e1zisok \u00f6ssze\u00e1ll\u00edt\u00e1sa p\u00e9ld\u00e1k erre.<\/li>\n\n\n\n<li><strong>Referencia vagy kanonikus adatok:<\/strong> Ezek a t\u00f6m\u00f6rebb k\u00f6zz\u00e9tett \u00e9s apr\u00f3l\u00e9kosan el\u0151k\u00e9sz\u00edtett adatk\u00e9szletek jelent\u0151s gy\u0171jtem\u00e9nyei. Ilyen lehet p\u00e9ld\u00e1ul egy g\u00e9nszekvenci\u00e1kat t\u00e1rol\u00f3 adatb\u00e1zis, egy atomszerkezeteket tartalmaz\u00f3 adatb\u00e1zis vagy egy koordin\u00e1t\u00e1kat t\u00e1rol\u00f3 adatb\u00e1zis.<\/li>\n<\/ul>\n\n\n\n<h2>Munk\u00e1ja hat\u00e1s\u00e1nak \u00e9s l\u00e1that\u00f3s\u00e1g\u00e1nak n\u00f6vel\u00e9se&nbsp;<\/h2>\n\n\n\n<p>A jelent\u00e9sek szerint a grafikus \u00f6sszefoglal\u00f3kkal ell\u00e1tott cikkek 8x t\u00f6bb k\u00f6z\u00f6ss\u00e9gi m\u00e9dia megoszt\u00e1st \u00e9rnek el. Most m\u00e1r \u00e9rti, mennyire fontos, hogy elegend\u0151 grafik\u00e1t \u00e9p\u00edtsen be a cikkeibe.&nbsp;<\/p>\n\n\n\n<p>Szerencs\u00e9re ez most m\u00e1r szuperegyszer\u0171. A <a href=\"https:\/\/mindthegraph.com\" target=\"_blank\" rel=\"noreferrer noopener\">Mind the Graph<\/a>, illusztr\u00e1ci\u00f3kat, posztereket \u00e9s grafikai kivonatokat k\u00e9sz\u00edthet n\u00e9h\u00e1ny kattint\u00e1ssal. Ezeket szak\u00e9rt\u0151inkkel szem\u00e9lyre is szabathatja. Ne v\u00e1rjon tov\u00e1bb, tegye meg m\u00e9g ma!<\/p>\n\n\n\n<div style=\"height:18px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Hogyan | Diagramok l\u00e9trehoz\u00e1sa az Mind the Graph-n\u00e9l\" width=\"800\" height=\"450\" src=\"https:\/\/www.youtube.com\/embed\/vks4vD98isQ?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<div style=\"height:18px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"is-layout-flex wp-block-buttons\">\n<div class=\"wp-block-button aligncenter\"><a class=\"wp-block-button__link has-background wp-element-button\" href=\"https:\/\/mindthegraph.com\/\" style=\"border-radius:50px;background-color:#dc1866\" target=\"_blank\" rel=\"noreferrer noopener\">Hat\u00e9kony tudom\u00e1nyos \u00e1br\u00e1k l\u00e9trehoz\u00e1sa percek alatt<\/a><\/div>\n<\/div>\n\n\n\n<div style=\"height:44px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>Az adatb\u00e1ny\u00e1szat lehet\u0151v\u00e9 teszi az \u00e9rdekes mint\u00e1k \u00e9s a rengeteg inform\u00e1ci\u00f3 felt\u00e1r\u00e1s\u00e1t. N\u00e9zz\u00fck meg, mi is az a kutat\u00e1si adat \u00e9s annak kateg\u00f3ri\u00e1i.<\/p>","protected":false},"author":27,"featured_media":25432,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[959,28],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Research Data Explained with Examples<\/title>\n<meta name=\"description\" content=\"Mining data allows interesting patterns and uncovering a wealth of information. Let&#039;s look at what is research data and its categories.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mindthegraph.com\/blog\/hu\/kutatasi-adatok\/\" \/>\n<meta property=\"og:locale\" content=\"hu_HU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Research data explained with examples\" \/>\n<meta property=\"og:description\" content=\"Mining data allows interesting patterns and uncovering a wealth of information. Let&#039;s look at what is research data and its categories.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/mindthegraph.com\/blog\/hu\/kutatasi-adatok\/\" \/>\n<meta property=\"og:site_name\" content=\"Mind the Graph Blog\" \/>\n<meta property=\"article:published_time\" content=\"2022-11-04T18:01:38+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2022-11-21T18:53:47+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2022\/11\/what-is-research-data-blog-1.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1123\" \/>\n\t<meta property=\"og:image:height\" content=\"612\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Aayushi Zaveri\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"Research data explained with examples\" \/>\n<meta name=\"twitter:description\" content=\"Mining data allows interesting patterns and uncovering a wealth of information. Let&#039;s look at what is research data and its categories.\" \/>\n<meta name=\"twitter:image\" content=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2022\/11\/what-is-research-data-blog-1.jpg\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Aayushi Zaveri\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Research Data Explained with Examples","description":"Mining data allows interesting patterns and uncovering a wealth of information. 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Let's look at what is research data and its categories.","og_url":"https:\/\/mindthegraph.com\/blog\/hu\/kutatasi-adatok\/","og_site_name":"Mind the Graph Blog","article_published_time":"2022-11-04T18:01:38+00:00","article_modified_time":"2022-11-21T18:53:47+00:00","og_image":[{"width":1123,"height":612,"url":"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2022\/11\/what-is-research-data-blog-1.jpg","type":"image\/jpeg"}],"author":"Aayushi Zaveri","twitter_card":"summary_large_image","twitter_title":"Research data explained with examples","twitter_description":"Mining data allows interesting patterns and uncovering a wealth of information. 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