All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Analyzing STEM Research Data in the Data Citation Index

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Analyzing STEM Research Data in the Data Citation Index

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

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

Result continuities

  • Project

  • Continuities

Others

  • Publication year

    2025

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of the Korean Society for Library and Information Science

  • ISSN

    2982-6292

  • e-ISSN

  • Volume of the periodical

    59

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    28

  • Pages from-to

    489-516

  • UT code for WoS article

  • EID of the result in the Scopus database