Analyzing STEM Research Data in the Data Citation Index

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3A3VFXRKM4" target="_blank" >RIV/00216208:11320/26:3VFXRKM4 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.4275/KSLIS.2025.59.1.489" target="_blank" >http://dx.doi.org/10.4275/KSLIS.2025.59.1.489</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.4275/KSLIS.2025.59.1.489" target="_blank" >10.4275/KSLIS.2025.59.1.489</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Analyzing STEM Research Data in the Data Citation Index

Popis výsledku v původním jazyce

This study examines the types of research data and data repositories in STEM(Science, Technology, Engineering, and Mathematics) fields that demonstrate high levels of data sharing and citation. STEM fields were identified by aligning discipline codes from the National Science Foundation(NSF) with research areas listed in the Data Citation Index. The selected disciplines include astrophysics, biological sciences, chemistry, computing, earth sciences, engineering, mathematics, and technology, encompassing a total of eight fields. This study involved the collection and analysis of over 6.3 million STEM research data records. The findings indicate that various types of research data across STEM fields are cited; however, key data repositories differ by discipline. Notably, high levels of data sharing do not necessarily correspond with high data citation rates.

Název v anglickém jazyce

Analyzing STEM Research Data in the Data Citation Index

Popis výsledku anglicky

This study examines the types of research data and data repositories in STEM(Science, Technology, Engineering, and Mathematics) fields that demonstrate high levels of data sharing and citation. STEM fields were identified by aligning discipline codes from the National Science Foundation(NSF) with research areas listed in the Data Citation Index. The selected disciplines include astrophysics, biological sciences, chemistry, computing, earth sciences, engineering, mathematics, and technology, encompassing a total of eight fields. This study involved the collection and analysis of over 6.3 million STEM research data records. The findings indicate that various types of research data across STEM fields are cited; however, key data repositories differ by discipline. Notably, high levels of data sharing do not necessarily correspond with high data citation rates.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

—

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of the Korean Society for Library and Information Science

ISSN

2982-6292

e-ISSN

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Svazek periodika

59

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

28

Strana od-do

489-516

Kód UT WoS článku

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EID výsledku v databázi Scopus

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