{"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\/lt\/moksliniu-tyrimu-duomenys\/","title":{"rendered":"Mokslini\u0173 tyrim\u0173 duomen\u0173 paai\u0161kinimas su pavyzd\u017eiais"},"content":{"rendered":"<p>Spr\u0119sdami problemas ir apra\u0161ydami rei\u0161kin\u012f, tyr\u0117jai daug remiasi duomenimis. Atsakymai \u012f daugel\u012f klausim\u0173 gaunami i\u0161 tyrim\u0173 duomen\u0173. Kaip atsakytum\u0117te \u012f klausim\u0105, jei i\u0161 prad\u017ei\u0173 netur\u0117tum\u0117te jokios informacijos? I\u0161gaudami duomenis, galite atrasti \u012fdomi\u0173 d\u0117sningum\u0173 ir atskleisti daugyb\u0119 informacijos.<\/p>\n\n\n\n<p>J\u0173 sukurtai informacijai \u012ftakos turi j\u0173 tiriami duomenys, tikslai ir skaitytoj\u0173 po\u017ei\u016briai. Tyr\u0117jai tur\u0117t\u0173 i\u0161likti ne\u0161ali\u0161ki, kai jie atid\u017eiai tiria duomenis ir i\u0161lieka iml\u016bs nepa\u017e\u012fstamoms tendencijoms, s\u0105vokoms ir rezultatams. Panagrin\u0117kime, kas yra mokslini\u0173 tyrim\u0173 duomenys ir kokios yra j\u0173 kategorijos.<\/p>\n\n\n\n<h2>Kas yra mokslini\u0173 tyrim\u0173 duomenys?<\/h2>\n\n\n\n<p>Tyrim\u0173 duomenys - tai informacija, surinkta, dokumentuota, sudaryta ar sukurta siekiant patvirtinti pirmini\u0173 tyrim\u0173 rezultat\u0173 patikimum\u0105. Tyrim\u0173 duomenys, \u012fskaitant korespondencijos \u012fra\u0161us ir laboratorinius \u012fra\u0161us, da\u017enai yra skaitmeniniai, ta\u010diau gali b\u016bti ir neskaitmeniniai.<\/p>\n\n\n\n<p>Tyrim\u0173 duomenys n\u0117ra vien tik skai\u010diai. Tyrim\u0173 duomenimis laikoma bet kokia med\u017eiaga, naudojama ir analizuojama mokslini\u0173 tyrim\u0173 tikslais. Tam tikrose akademin\u0117se srityse terminas \"tyrim\u0173 med\u017eiaga\" vartojamas da\u017eniau nei \"tyrim\u0173 duomenys\".&nbsp;<\/p>\n\n\n\n<p>Tyrim\u0173 duomenis galima rinkti \u012fvairiais b\u016bdais. Tyrimo duomen\u0173, kuriuos galima gauti i\u0161 vieno tyr\u0117jo darbo, kiekis neribojamas. Yra daugyb\u0117 duomen\u0173 r\u016b\u0161i\u0173, pavyzd\u017eiui, vaizdo \u012fra\u0161ai, statistiniai duomenys, grafikai, transkripcijos, garso failai, transkribuoti interviu, eksperiment\u0173 duomenys, program\u0173 kodai ir daugelis kit\u0173.<\/p>\n\n\n\n<h2>&nbsp;Tyrim\u0173 duomen\u0173 pavyzd\u017eiai<\/h2>\n\n\n\n<p>Yra daugyb\u0117 b\u016bd\u0173, kaip rinkti tyrim\u0173 duomenis. \u0160tai keletas galimybi\u0173:<\/p>\n\n\n\n<ul>\n<li>failai, pavyzd\u017eiui, dokumentai ir skai\u010diuokl\u0117s<\/li>\n\n\n\n<li>Laboratorij\u0173, ekskursij\u0173 ir dienora\u0161\u010di\u0173 s\u0105siuviniai<\/li>\n\n\n\n<li>Kod\u0173 knygos, transkribuoti interviu ir klausimynai<\/li>\n\n\n\n<li>Vaizdo ir garso \u012fra\u0161ai<\/li>\n\n\n\n<li>Vaizdai, vaizdo \u012fra\u0161ai<\/li>\n\n\n\n<li>Bandymo rezultatai<\/li>\n\n\n\n<li>Skaidr\u0117, objektas, pavyzdys arba atvejo analiz\u0117<\/li>\n\n\n\n<li>Skaitmeniniai produkcijos archyvai<\/li>\n\n\n\n<li>\u012evesties ir i\u0161vesties duomenys<\/li>\n\n\n\n<li>Algoritmas arba modelis<\/li>\n\n\n\n<li>Anotacijos<\/li>\n\n\n\n<li>Programin\u0117s \u012frangos \u012fvesties, i\u0161vesties, \u017eurnalo fail\u0173, duomen\u0173 strukt\u016br\u0173 analiz\u0117<\/li>\n\n\n\n<li>Procesai ir metodikos<\/li>\n<\/ul>\n\n\n\n<h2>Kod\u0117l svarbu dalytis mokslini\u0173 tyrim\u0173 duomenimis?<\/h2>\n\n\n\n<p>Dalijimasis duomenimis, u\u017euot kartojus jau paskelbtus tyrimus, yra naudingas b\u016bdas pl\u0117toti koleg\u0173 mokslinink\u0173 darb\u0105. Dalijantis duomenimis taip pat galima atlikti mokslini\u0173 tyrim\u0173 tem\u0173 metaanaliz\u0119. Vie\u0161as dalijimasis mokslini\u0173 tyrim\u0173 rezultatais dabar yra daugelio finansavimo agent\u016br\u0173 ir institucij\u0173 reikalavimas.&nbsp;<\/p>\n\n\n\n<p>Geriau dalijantis duomenimis, u\u017etikrinant skaidrum\u0105 ir informacijos prieinamum\u0105, did\u0117ja duomen\u0173 platinimas ir naudojimas mokslini\u0173 tyrim\u0173 ekosistemoje. D\u0117l to vie\u0161oji politika ir planavimas gali b\u016bti grind\u017eiami kokybi\u0161kesniais ir prieinamesniais faktais.<\/p>\n\n\n\n<p>Dalijimasis duomenimis buvo naudingas ir tyr\u0117jui, ir tyrimo u\u017esakovui. Tai skatina tyr\u0117jus geriau tvarkyti savo duomenis ir u\u017etikrinti, kad duomenys b\u016bt\u0173 kokybi\u0161ki, kai jais gali naudotis kolegos ir visuomen\u0117. Dalijimasis duomenimis skatina informuotum\u0105 ir tolesnius mokslinius tyrimus j\u0173 kompetencijos srityse. Mokslini\u0173 tyrim\u0173 r\u0117m\u0117jams ir tyr\u0117jams dalijimasis duomenimis gali b\u016bti naudingas didinant j\u0173 matomum\u0105 ir pripa\u017einim\u0105.<\/p>\n\n\n\n<p>Mokslo bendruomen\u0117 i\u0161 esm\u0117s pritaria dalijimuisi duomenimis, ta\u010diau tam reikia daug laiko, pastang\u0173 ir i\u0161tekli\u0173. Norint paruo\u0161ti duomenis dalijimuisi, svarbu kruop\u0161\u010diai dokumentuoti duomen\u0173 rinkimo metodus ir tyrim\u0173 rezultatus.<\/p>\n\n\n\n<h2>Tyrim\u0173 duomen\u0173 \u0161altiniai<\/h2>\n\n\n\n<p>Tyrim\u0173 duomenis galima gauti d\u0117l \u012fvairi\u0173 prie\u017eas\u010di\u0173 ir taikant \u012fvairius metodus. Toliau pateikiami keli pavyzd\u017eiai:&nbsp;<\/p>\n\n\n\n<ul>\n<li><strong>Steb\u0117jimo duomenys:<\/strong> Elgesys ar veikla stebimi ir fiksuojami kaip steb\u0117jimo duomenys. Duomenims rinkti taikomi \u012fvair\u016bs metodai, \u012fskaitant steb\u0117jim\u0105, anketines apklausas, steb\u0117jimo prietais\u0173 ir instrument\u0173 naudojim\u0105.<\/li>\n\n\n\n<li><strong>Eksperimentiniai duomenys:<\/strong>&nbsp;Keisdami kintam\u0105j\u012f, tyr\u0117jai siekia sukurti skirtum\u0105 arba sukelti pokyt\u012f aktyviai \u012fsiki\u0161dami. Tyr\u0117jai, naudodami eksperimentinius duomenis, paprastai gali nustatyti prie\u017eastinius ry\u0161ius ir gautus rezultatus taikyti pla\u010diai. Atkuriant tokio tipo duomenis paprastai patiriamos i\u0161laidos.<\/li>\n\n\n\n<li><strong>Modeliavimo duomenys:<\/strong> Kompiuteriniai modeliai imituoja reali\u0173 proces\u0173 elgsen\u0105 per tam tikr\u0105 laik\u0105, kad b\u016bt\u0173 gauti modeliavimo duomenys. I\u0161vesties duomenys yra svarbesni u\u017e metaduomenis ir i\u0161 bandom\u0173j\u0173 modeli\u0173 sukurt\u0105 model\u012f.&nbsp;<\/li>\n\n\n\n<li><strong>I\u0161vestiniai ir (arba) surinkti duomenys:<\/strong>&nbsp; Duomenys, kurie yra modifikuoti i\u0161 ankstesni\u0173 duomen\u0173 pavyzd\u017ei\u0173. Praradus duomenis, juos galima atkurti, ta\u010diau tai kainuot\u0173 brangiai. Trimatiai modeliai ir duomen\u0173 bazi\u0173 sudarymas yra tokie pavyzd\u017eiai.<\/li>\n\n\n\n<li><strong>Nuoroda arba kanoniniai duomenys:<\/strong> Tai didel\u0117s kompakti\u0161kesni\u0173 paskelbt\u0173 ir kruop\u0161\u010diai parengt\u0173 duomen\u0173 rinkini\u0173 kolekcijos. Pavyzdys gali b\u016bti duomen\u0173 baz\u0117, kurioje saugomos gen\u0173 sekos, duomen\u0173 baz\u0117, kurioje saugomos atom\u0173 strukt\u016bros, arba duomen\u0173 baz\u0117, kurioje saugomos koordinat\u0117s.<\/li>\n<\/ul>\n\n\n\n<h2>J\u016bs\u0173 darbo poveikio ir matomumo didinimas&nbsp;<\/h2>\n\n\n\n<p>Prane\u0161ama, kad straipsniai su grafin\u0117mis santraukomis 8 kartus da\u017eniau dalijasi socialin\u0117je \u017einiasklaidoje. Dabar suprantate, kaip svarbu \u012f straipsnius \u012ftraukti pakankamai grafikos.&nbsp;<\/p>\n\n\n\n<p>Laimei, dabar tai padaryti labai paprasta. Su <a href=\"https:\/\/mindthegraph.com\" target=\"_blank\" rel=\"noreferrer noopener\">Mind the Graph<\/a>, galite kurti iliustracijas, plakatus ir grafines santraukas vos keliais spustel\u0117jimais. Taip pat galite u\u017esakyti, kad juos pritaikyt\u0173 m\u016bs\u0173 ekspertai. Nelaukite ilgiau, padarykite tai \u0161iandien!<\/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=\"Kaip | Sukurti diagramas Mind the Graph\" 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\">Per kelias minutes sukurkite efektyvius mokslinius paveiksl\u0117lius<\/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>Duomen\u0173 gavyba leid\u017eia nustatyti \u012fdomius modelius ir atskleisti daugyb\u0119 informacijos. Panagrin\u0117kime, kas yra tyrimo duomenys ir j\u0173 kategorijos.<\/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. As a science enthusiast, she is keen in learning more about the scientific world and wants to play a part in making a difference.","sameAs":["http:\/\/linkedin.com\/in\/aayushizaveri"],"url":"https:\/\/mindthegraph.com\/blog\/lt\/author\/aayuyshi\/"}]}},"_links":{"self":[{"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/posts\/25422"}],"collection":[{"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/users\/27"}],"replies":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/comments?post=25422"}],"version-history":[{"count":6,"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/posts\/25422\/revisions"}],"predecessor-version":[{"id":25444,"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/posts\/25422\/revisions\/25444"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/media\/25432"}],"wp:attachment":[{"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/media?parent=25422"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/categories?post=25422"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/lt\/wp-json\/wp\/v2\/tags?post=25422"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}