{"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\/tr\/arastirma-veri\/","title":{"rendered":"\u00d6rneklerle A\u00e7\u0131klanan Ara\u015ft\u0131rma Verileri"},"content":{"rendered":"<p>Sorunlar\u0131 \u00e7\u00f6zmek ve bir olguyu tan\u0131mlamak i\u00e7in ara\u015ft\u0131rmac\u0131lar b\u00fcy\u00fck \u00f6l\u00e7\u00fcde verilere dayan\u0131r. Pek \u00e7ok sorunun yan\u0131t\u0131 ara\u015ft\u0131rma verilerinden gelir. Ba\u015flang\u0131\u00e7ta hi\u00e7 bilgi olmasayd\u0131 bir soruyu nas\u0131l yan\u0131tlard\u0131n\u0131z? Veri madencili\u011fi yaparak ilgin\u00e7 kal\u0131plar\u0131 ke\u015ffedebilir ve zengin bilgileri ortaya \u00e7\u0131karabilirsiniz.<\/p>\n\n\n\n<p>Yaratt\u0131klar\u0131 bilgiler, ke\u015ffettikleri verilerden, hedeflerinden ve okuyucular\u0131n\u0131n bak\u0131\u015f a\u00e7\u0131lar\u0131ndan etkilenir. Ara\u015ft\u0131rmac\u0131lar verileri dikkatle incelediklerinde tarafs\u0131z kalmal\u0131 ve al\u0131\u015f\u0131lmad\u0131k e\u011filimlere, kavramlara ve sonu\u00e7lara a\u00e7\u0131k olmal\u0131d\u0131r. \u015eimdi ara\u015ft\u0131rma verilerinin ne oldu\u011funa ve kategorilerinin neler oldu\u011funa bakal\u0131m.<\/p>\n\n\n\n<h2>Ara\u015ft\u0131rma verileri nedir?<\/h2>\n\n\n\n<p>Ara\u015ft\u0131rma verileri, ilk ara\u015ft\u0131rma sonu\u00e7lar\u0131n\u0131n g\u00fcvenilirli\u011fini teyit etmek amac\u0131yla toplanan, belgelenen, derlenen veya olu\u015fturulan bilgilerdir. Yaz\u0131\u015fma kay\u0131tlar\u0131 ve laboratuvar kay\u0131tlar\u0131 dahil olmak \u00fczere ara\u015ft\u0131rma verileri genellikle dijitaldir, ancak dijital olmayan veriler de olabilir.<\/p>\n\n\n\n<p>Ara\u015ft\u0131rma verilerinde say\u0131lardan daha fazlas\u0131 vard\u0131r. Ara\u015ft\u0131rma \u00e7al\u0131\u015fmalar\u0131 i\u00e7in kullan\u0131lan ve analiz edilen her t\u00fcrl\u00fc materyal ara\u015ft\u0131rma verisi olarak kabul edilir. \"Ara\u015ft\u0131rma materyalleri\" terimi, baz\u0131 akademik alanlarda \"ara\u015ft\u0131rma verileri \"nden daha s\u0131k kullan\u0131l\u0131r.&nbsp;<\/p>\n\n\n\n<p>Ara\u015ft\u0131rma verisi toplaman\u0131n bir\u00e7ok yolu vard\u0131r. Bir ara\u015ft\u0131rmac\u0131n\u0131n \u00e7al\u0131\u015fmas\u0131ndan elde edilebilecek ara\u015ft\u0131rma verisi miktar\u0131n\u0131n s\u0131n\u0131r\u0131 yoktur. Video klipler, istatistikler, grafikler, transkripsiyonlar, ses dosyalar\u0131, de\u015fifre edilmi\u015f g\u00f6r\u00fc\u015fmeler, deneylerden elde edilen veriler, programlar i\u00e7in kodlar ve di\u011ferleri gibi bir\u00e7ok veri t\u00fcr\u00fc vard\u0131r.<\/p>\n\n\n\n<h2>&nbsp;Ara\u015ft\u0131rma verilerine \u00f6rnekler<\/h2>\n\n\n\n<p>Ara\u015ft\u0131rma verisi toplaman\u0131n bir\u00e7ok yolu vard\u0131r. \u0130\u015fte baz\u0131 olas\u0131l\u0131klar:<\/p>\n\n\n\n<ul>\n<li>Belgeler ve elektronik tablolar gibi dosyalar<\/li>\n\n\n\n<li>Laboratuvarlar, saha gezileri ve g\u00fcnl\u00fckler i\u00e7in defterler<\/li>\n\n\n\n<li>Kod kitaplar\u0131, de\u015fifre edilmi\u015f g\u00f6r\u00fc\u015fmeler ve anketler<\/li>\n\n\n\n<li>Video kasetler ve ses kasetleri<\/li>\n\n\n\n<li>Resimler, video kay\u0131tlar\u0131<\/li>\n\n\n\n<li>Test sonu\u00e7lar\u0131<\/li>\n\n\n\n<li>Bir slayt, bir nesne, bir \"\u00f6rnek\" veya bir \"vaka \u00e7al\u0131\u015fmas\u0131\"<\/li>\n\n\n\n<li>Dijitalle\u015ftirilmi\u015f \u00e7\u0131kt\u0131 ar\u015fivleri<\/li>\n\n\n\n<li>Giri\u015f\/\u00e7\u0131k\u0131\u015f verileri<\/li>\n\n\n\n<li>Bir algoritma veya model<\/li>\n\n\n\n<li>Ek A\u00e7\u0131klamalar<\/li>\n\n\n\n<li>Yaz\u0131l\u0131m girdilerinin, \u00e7\u0131kt\u0131lar\u0131n\u0131n, g\u00fcnl\u00fck dosyalar\u0131n\u0131n, veri yap\u0131lar\u0131n\u0131n analizi<\/li>\n\n\n\n<li>S\u00fcre\u00e7ler ve metodolojiler<\/li>\n<\/ul>\n\n\n\n<h2>Ara\u015ft\u0131rma verilerinin payla\u015f\u0131lmas\u0131 neden \u00f6nemlidir?<\/h2>\n\n\n\n<p>Daha \u00f6nce yay\u0131nlanm\u0131\u015f ara\u015ft\u0131rmalar\u0131 tekrarlamak yerine veri payla\u015fmak, di\u011fer ara\u015ft\u0131rmac\u0131lar\u0131n \u00e7al\u0131\u015fmalar\u0131n\u0131 geli\u015ftirmek i\u00e7in avantajl\u0131 bir yoldur. Ara\u015ft\u0131rma konular\u0131, veri payla\u015f\u0131m\u0131 yoluyla meta-analize de tabi tutulabilir. Ara\u015ft\u0131rma bulgular\u0131n\u0131n kamuyla payla\u015f\u0131lmas\u0131 art\u0131k pek \u00e7ok fon veren kurum ve kurulu\u015f i\u00e7in bir gerekliliktir.&nbsp;<\/p>\n\n\n\n<p>Daha iyi veri payla\u015f\u0131m\u0131, \u015feffafl\u0131k ve bilgi eri\u015filebilirli\u011fi sayesinde ara\u015ft\u0131rma ekosistemi i\u00e7inde verilerin da\u011f\u0131l\u0131m\u0131 ve kullan\u0131m\u0131 artar. Sonu\u00e7 olarak, kamu politikas\u0131 ve planlamas\u0131 daha y\u00fcksek kaliteli, daha eri\u015filebilir ger\u00e7ekler sayesinde bilgilendirilebilir.<\/p>\n\n\n\n<p>Hem ara\u015ft\u0131rmac\u0131 hem de ara\u015ft\u0131rma sponsoru veri payla\u015f\u0131m\u0131ndan fayda sa\u011flam\u0131\u015ft\u0131r. Ara\u015ft\u0131rmac\u0131lar\u0131, verilerini daha iyi y\u00f6netmeye ve meslekta\u015flar\u0131 ve kamu bu verilere eri\u015febildi\u011finde verilerin y\u00fcksek kalitede olmas\u0131n\u0131 sa\u011flamaya te\u015fvik eder. Veri payla\u015f\u0131m\u0131, fark\u0131ndal\u0131\u011f\u0131 ve uzmanl\u0131k alanlar\u0131nda daha fazla ara\u015ft\u0131rma yap\u0131lmas\u0131n\u0131 te\u015fvik eder. Ara\u015ft\u0131rma sponsorlar\u0131 ve ara\u015ft\u0131rmac\u0131lar, g\u00f6r\u00fcn\u00fcrl\u00fcklerini ve tan\u0131n\u0131rl\u0131klar\u0131n\u0131 art\u0131rarak veri payla\u015f\u0131m\u0131ndan faydalanabilirler.<\/p>\n\n\n\n<p>Bilim camias\u0131 veri payla\u015f\u0131m\u0131n\u0131 b\u00fcy\u00fck \u00f6l\u00e7\u00fcde desteklemektedir, ancak bunun ger\u00e7ekle\u015fmesi i\u00e7in \u00e7ok fazla zaman, \u00e7aba ve kaynak gerekmektedir. Verileri payla\u015f\u0131ma haz\u0131rlamak i\u00e7in veri toplama y\u00f6ntemlerini ve ara\u015ft\u0131rma sonu\u00e7lar\u0131n\u0131 dikkatlice belgelemek \u00f6nemlidir.<\/p>\n\n\n\n<h2>Ara\u015ft\u0131rma verilerinin kaynaklar\u0131<\/h2>\n\n\n\n<p>Ara\u015ft\u0131rma verilerini \u00e7e\u015fitli nedenlerle ve birden fazla y\u00f6ntem kullanarak \u00fcretmek m\u00fcmk\u00fcnd\u00fcr. Birka\u00e7 \u00f6rnek a\u015fa\u011f\u0131da listelenmi\u015ftir:&nbsp;<\/p>\n\n\n\n<ul>\n<li><strong>G\u00f6zlemsel Veriler:<\/strong> Davran\u0131\u015f veya faaliyet g\u00f6zlemlenir ve g\u00f6zlemsel veri olarak kaydedilir. Veri toplamak i\u00e7in g\u00f6zlem, anket ara\u015ft\u0131rmalar\u0131 ve izleme cihaz ve ara\u00e7lar\u0131n\u0131n kullan\u0131m\u0131 gibi \u00e7e\u015fitli y\u00f6ntemler kullan\u0131l\u0131r.<\/li>\n\n\n\n<li><strong>Deneysel veriler:<\/strong>&nbsp;Bir de\u011fi\u015fken de\u011fi\u015ftirildi\u011finde, ara\u015ft\u0131rmac\u0131lar aktif olarak m\u00fcdahale ederek bir fark yaratmay\u0131 veya bir de\u011fi\u015fiklik \u00fcretmeyi ama\u00e7lar. Ara\u015ft\u0131rmac\u0131lar genellikle deneysel verileri kullanarak nedensel ili\u015fkileri belirleyebilir ve sonu\u00e7lar\u0131 geni\u015f \u00e7apta uygulayabilir. Bu t\u00fcr verilerin yeniden \u00fcretilmesinin genellikle bir maliyeti vard\u0131r.<\/li>\n\n\n\n<li><strong>Sim\u00fclasyon verileri:<\/strong> Bilgisayar modelleri, sim\u00fclasyon verileri olu\u015fturmak i\u00e7in ger\u00e7ek\u00e7i s\u00fcre\u00e7lerin zaman i\u00e7indeki davran\u0131\u015flar\u0131n\u0131 taklit eder. \u00c7\u0131kt\u0131 verileri, meta verilerden ve test modellerinden \u00fcretilen modelden daha \u00f6nemlidir.&nbsp;<\/li>\n\n\n\n<li><strong>T\u00fcretilmi\u015f\/derlenmi\u015f veriler:<\/strong>&nbsp; \u00d6nceki veri \u00f6rneklerinden de\u011fi\u015ftirilmi\u015f veriler. Kaybolmas\u0131 durumunda yeniden \u00fcretilebilir, ancak maliyeti y\u00fcksek olacakt\u0131r. \u00dc\u00e7 boyutlu modeller ve veri tabanlar\u0131n\u0131n derlenmesi \u00f6rnek olarak verilebilir.<\/li>\n\n\n\n<li><strong>Referans veya kanonik veriler:<\/strong> Bunlar, yay\u0131nlanm\u0131\u015f ve titizlikle haz\u0131rlanm\u0131\u015f daha kompakt veri k\u00fcmelerinin \u00f6nemli koleksiyonlar\u0131d\u0131r. Gen dizilerini depolayan bir veri taban\u0131, atomik yap\u0131lar\u0131 i\u00e7eren bir veri taban\u0131 veya koordinatlar\u0131 depolayan bir veri taban\u0131 buna \u00f6rnek olarak verilebilir.<\/li>\n<\/ul>\n\n\n\n<h2>\u00c7al\u0131\u015fmalar\u0131n\u0131z\u0131n etkisini ve g\u00f6r\u00fcn\u00fcrl\u00fc\u011f\u00fcn\u00fc art\u0131rma&nbsp;<\/h2>\n\n\n\n<p>Grafik \u00f6zetli makalelerin 8 kat daha fazla sosyal medya payla\u015f\u0131m\u0131 yapt\u0131\u011f\u0131 bildirilmi\u015ftir. Art\u0131k makalelerinizde yeterince grafi\u011fe yer vermenin \u00f6nemini anl\u0131yorsunuz.&nbsp;<\/p>\n\n\n\n<p>Neyse ki art\u0131k bunu yapmak \u00e7ok kolay. ile <a href=\"https:\/\/mindthegraph.com\" target=\"_blank\" rel=\"noreferrer noopener\">Mind the Graph<\/a>ile sadece birka\u00e7 t\u0131klamayla ill\u00fcstrasyonlar, posterler ve grafik \u00f6zetler olu\u015fturabilirsiniz. Ayr\u0131ca uzmanlar\u0131m\u0131z taraf\u0131ndan \u00f6zelle\u015ftirilmelerini de sa\u011flayabilirsiniz. Daha fazla beklemeyin, bug\u00fcn yap\u0131n!<\/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=\"Mind the Graph&#039;de grafikler nas\u0131l olu\u015fturulur\" 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\">Dakikalar \u0130\u00e7inde Etkili Bilim Fig\u00fcrleri Olu\u015fturun<\/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>Veri madencili\u011fi, ilgin\u00e7 kal\u0131plar\u0131n ve zengin bilgilerin ortaya \u00e7\u0131kar\u0131lmas\u0131n\u0131 sa\u011flar. \u015eimdi ara\u015ft\u0131rma verilerinin ne oldu\u011funa ve kategorilerine bakal\u0131m.<\/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. 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She is currently pursuing a master's degree in Bioentrepreneurship from Karolinska Institute. She is interested in health and diseases, global health, socioeconomic development, and women's health. 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