Data in Brief

Scope & Guideline

Empowering Research Through Accessible Data Insights.

Introduction

Immerse yourself in the scholarly insights of Data in Brief with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN2352-3409
PublisherELSEVIER
Support Open AccessYes
CountryUnited States
TypeJournal
Convergefrom 2014 to 2024
AbbreviationDATA BRIEF / Data Brief
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS

Aims and Scopes

The journal 'Data in Brief' aims to provide a platform for sharing data sets across various fields of research. It emphasizes the importance of data availability and accessibility to further scientific discoveries and applications. The journal focuses on the following core areas:
  1. Open Data Sharing:
    Encourages the sharing of datasets to promote transparency and reproducibility in research.
  2. Diverse Research Fields:
    Covers a wide range of disciplines, including biology, environmental science, social sciences, and engineering, allowing for interdisciplinary collaboration.
  3. Data Methodologies:
    Presents methodologies for data collection, processing, and analysis, ensuring that researchers can replicate or build upon the work presented.
  4. Promoting Data Reuse:
    Aims to facilitate the reuse of data across studies, contributing to more efficient research practices and reducing redundancy.
  5. Supporting Data Integrity:
    Focuses on the quality and integrity of the datasets published, ensuring they meet certain standards for scientific rigor.
In recent years, 'Data in Brief' has seen an increase in the publication of datasets that reflect emerging trends in research. The following themes are gaining prominence:
  1. Environmental and Climate Data:
    There is a growing focus on datasets that address environmental issues, climate change impacts, and sustainability, reflecting the urgent need for research in these areas.
  2. Health and Medical Data:
    Datasets related to health, particularly those addressing public health crises like COVID-19, mental health, and chronic diseases, are increasingly prevalent.
  3. Machine Learning and AI Applications:
    The publication of datasets intended for machine learning and AI applications is on the rise, showcasing the integration of advanced technologies in various research fields.
  4. Social Media and Behavioral Data:
    Emerging datasets that analyze social media interactions, public sentiments, and behavioral responses are trending, reflecting the digital transformation in research methodologies.
  5. Biodiversity and Ecological Data:
    Research focusing on biodiversity, ecological studies, and the impact of human activities on ecosystems is becoming more prominent in the datasets published.

Declining or Waning

While 'Data in Brief' continues to grow in various research areas, some themes have shown a decline in focus based on recent publications. The following are areas that appear to be waning:
  1. Traditional Laboratory-Based Studies:
    There is a noticeable decline in datasets related to traditional lab-based experiments, as more emphasis is placed on field studies and real-world applications.
  2. Narrowly Focused Datasets:
    Datasets that pertain to very specific or niche fields are becoming less common, as the journal seeks broader applicability and relevance.
  3. Single-Domain Focus:
    Papers that focus solely on one domain without interdisciplinary aspects are appearing less frequently, as the trend shifts towards integrative and collaborative research.
  4. Static Data Reporting:
    There is a reduced emphasis on datasets that provide static or unchanging data, with a shift towards dynamic datasets that can track changes over time.
  5. Redundant Datasets:
    The journal is moving away from publishing datasets that replicate previously published data without significant new insights or methodologies.

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