Data in Brief

Scope & Guideline

Transforming Research Accessibility with Every Brief.

Introduction

Explore the comprehensive scope of Data in Brief through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore Data in Brief in depth and align your research initiatives with current academic trends.
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.

Similar Journals

Journal of Official Statistics

Exploring Innovations in Statistical Methodologies
Publisher: SAGE PUBLICATIONS INCISSN: 0282-423XFrequency: 4 issues/year

The Journal of Official Statistics, published by SAGE Publications Inc, is a premier open-access journal that has been fostering advancements in the field of statistics since its inception. With its focus on disseminating high-quality research from 1986 to present, this journal provides a vital platform for statistical practices, innovations, and methodologies applicable to various domains, including governmental and organizational data analysis. Recognized as a Q2 journal in the Statistics and Probability category with a Scopus ranking of #143 out of 278, the Journal of Official Statistics boasts a significant impact in informing statisticians and practitioners alike. Located in Sweden, this journal has embraced open access since 2013, ensuring that its comprehensive and research-driven content is accessible to a global audience. Whether you are a researcher, professional, or student, this journal serves as an essential resource for staying informed about the latest trends and discussions in the official statistical community.

Proceedings of the VLDB Endowment

Empowering research in big data and information systems.
Publisher: ASSOC COMPUTING MACHINERYISSN: 2150-8097Frequency: 13 issues/year

Proceedings of the VLDB Endowment is a prestigious academic journal published by the Association for Computing Machinery, focusing on advanced research in the field of computer science, particularly in areas related to database management, big data, and information systems. With an impressive Impact Factor reflecting its Q1 categorization in the Computer Science (miscellaneous) quartile, the journal ranks #12 out of 133 in its field according to Scopus, placing it in the 91st percentile. The journal serves as a vital platform for disseminating high-quality research findings and fostering innovation in data management technologies. The VLDB Endowment, in operation since 2008, embraces an open-access model, ensuring that valuable insights reach a broad audience, including researchers, professionals, and students who are eager to push the boundaries of knowledge in computer science. With its commitment to excellence, this journal significantly contributes to the ongoing dialogue within the global research community.

Synthetic Biology

Fostering Interdisciplinary Collaboration in Life Sciences
Publisher: OXFORD UNIV PRESSISSN: Frequency: 1 issue/year

Synthetic Biology, published by Oxford University Press, is a leading open-access journal that has gained recognition since its inception, becoming a pivotal platform in the fields of Agricultural and Biological Sciences, Bioengineering, Biomaterials, Biomedical Engineering, and Biotechnology. With an ISSN of 2397-7000 and consistent contributions from innovative researchers, the journal has established itself as a Q1 journal in Agricultural and Biological Sciences and ranks notably across various engineering disciplines, making it an essential resource for cutting-edge research and interdisciplinary collaboration. Since becoming fully open access in 2016, it has broadened its reach, allowing easy access to groundbreaking findings that drive advancements in synthetic biology and its applications. The journal's commitment to high-quality, peer-reviewed content serves to inspire researchers, professionals, and students alike, fostering a rich academic community dedicated to exploring the complexities of biological systems and their synthetic counterparts.

GigaScience

Advancing Data-Driven Science for a Healthier Tomorrow
Publisher: OXFORD UNIV PRESSISSN: 2047-217XFrequency: 1 issue/year

GigaScience, published by Oxford University Press, is a pioneering open-access journal that has made significant strides in the fields of Medicine, Health Informatics, and Computer Science Applications since its inception in 2012. With an impressive impact factor and a consistent ranking in the Q1 category across multiple disciplines, GigaScience is recognized as an essential resource for researchers dedicated to advancing data-driven science. The journal's commitment to high-quality research is reflected in its Scopus rankings, placing it in the top 5% and 4% of its categories. As an open-access journal, GigaScience ensures that vital research is accessible to a global audience, fostering collaboration and innovation in an increasingly interconnected research landscape. Researchers, professionals, and students alike will find GigaScience instrumental in exploring the intersection of computational technology and life sciences, as it frequently publishes groundbreaking studies that shape future inquiries in these dynamic fields.

Journal of Statistical Software

Transforming data into knowledge with open access solutions.
Publisher: JOURNAL STATISTICAL SOFTWAREISSN: 1548-7660Frequency:

Journal of Statistical Software, published by the esteemed Journal Statistical Software, stands as a premier platform for the dissemination of cutting-edge research in the fields of statistical software development, methodologies, and applications. With an impressive impact factor and consistently ranking in the Q1 quartile for Software, Statistics and Probability, and Statistics, Probability and Uncertainty as of 2023, this journal is recognized globally for its scholarly contributions and innovative content. The journal has been an Open Access publication since 1996, facilitating unrestricted access to high-quality research for a diverse audience, including researchers, professionals, and students. As the journal converges into its 28th volume in 2024, it continues to maintain a strong presence in key academic rankings—evidenced by its stellar Scopus rank, where it is placed in the top 5% of journals in its field. Located at UCLA Department of Statistics, in Los Angeles, this journal is dedicated to fostering the advancement of statistical software and its role in enhancing scientific research across multiple disciplines.

SoftwareX

Empowering Innovation in Software Development
Publisher: ELSEVIERISSN: 2352-7110Frequency: 2 issues/year

SoftwareX is an innovative open-access journal published by Elsevier that has been championing advancements in the fields of Computer Science and Software since its inception in 2015. With a focus on presenting high-quality research, SoftwareX aims to foster collaboration and knowledge exchange among researchers and practitioners, advancing the way software and tools are developed and disseminated within the community. This journal operates under a flexible access model, allowing broad visibility and accessibility to its diverse readership. Positioned in the Q2 and Q3 quartiles of the Scopus ranking system within the domains of Computer Science Applications and Software respectively, SoftwareX stands as an influential platform for sharing cutting-edge methodologies and innovations. The journal's aim is not only to serve as a repository of knowledge but also to embolden practitioners and scholars alike to engage with and implement findings that can accelerate progress within the realms of software engineering and application. Situated in Amsterdam, Netherlands, SoftwareX has embraced an international reach, welcoming submissions that address complex challenges through novel software solutions.

Database-The Journal of Biological Databases and Curation

Pioneering the Future of Biological Database Research
Publisher: OXFORD UNIV PRESSISSN: 1758-0463Frequency: 1 issue/year

Database - The Journal of Biological Databases and Curation, published by Oxford University Press, stands at the forefront of the rapidly evolving fields of biological data management and curation. Since its inception in 2009, this open access journal has become a pivotal resource for researchers and professionals eager to explore the intricate world of biological databases. With an impressive impact factor, it ranks in the Q1 quartile across significant disciplines such as Agricultural and Biological Sciences, Biochemistry, Genetics and Molecular Biology, Information Systems, and Medicine as of 2023. This prestigious standing reflects its commitment to high-quality research and innovation. The journal not only provides a platform for original research articles, reviews, and case studies but also aims to facilitate discussion on best practices in database design and curation. By bridging the gap between data generation and utilization, it plays an essential role in enhancing the accessibility and usability of biological data, making it indispensable for scholars and students who are navigating these complex domains.

ACM Journal of Data and Information Quality

Elevating Standards in Information Quality
Publisher: ASSOC COMPUTING MACHINERYISSN: 1936-1955Frequency: 4 issues/year

The ACM Journal of Data and Information Quality, published by the Association for Computing Machinery (ACM), stands as a distinguished platform for disseminating cutting-edge research in the field of data and information quality. With an impact factor indicative of its scholarly influence, this journal has been pivotal in advancing understanding in Information Systems and Information Systems and Management, as evidenced by its Q2 quartile ranking in 2023. Covering a wide range of topics from data governance to data analytics, the journal aims to bridge theoretical research and practical applications, appealing to a diverse audience of researchers, professionals, and students. The journal's comprehensive scope, along with its ongoing commitment to high-quality submissions since its inception in 2009, ensures that it remains a vital resource for those seeking to enhance their knowledge and expertise in the rapidly evolving landscape of data and information quality.

BMC Research Notes

Advancing Scientific Dialogue with Every Note
Publisher: SPRINGERNATUREISSN: Frequency: 1 issue/year

BMC Research Notes, published by SPRINGERNATURE, is a leading open-access journal dedicated to the dissemination of research notes across various disciplines, particularly within the fields of biochemistry, genetics, molecular biology, and medicine. Since its establishment in 2008, the journal has embraced a mission to facilitate the rapid publication of short, concise articles that contribute significantly to ongoing scientific dialogues. With an impact factor reflective of its reputation, BMC Research Notes ranks Q2 in Biochemistry, Genetics and Molecular Biology and holds a commendable Q3 classification in Medicine for 2023. Notably, the journal's Scopus rankings highlight its prominence, especially in General Medicine, where it stands in the 77th percentile. Situated in the United Kingdom, the journal prioritizes open access to foster transparency and engagement with a global audience, making it an essential resource for researchers, practitioners, and students who are looking to stay abreast of new findings and practical advancements within their fields. The journal continues to span evolving research themes from 2008 to 2024, ensuring a dynamic repository of knowledge in the rapidly advancing landscape of biomedical research.

Big Data Research

Leading the charge in big data advancements.
Publisher: ELSEVIERISSN: 2214-5796Frequency: 4 issues/year

Big Data Research, published by Elsevier, is a leading academic journal dedicated to the exploration and advancement of Big Data methodologies and technologies. With an ISSN of 2214-5796, and a commendable impact reflected in its Scopus rankings—ranking Q2 in Computer Science Applications and Q1 in Information Systems—this journal offers a prominent platform for researchers and practitioners to share innovative findings in the realm of data science, analytics, and management. Since its inception in 2014, Big Data Research has fostered a multidisciplinary approach, addressing cutting-edge topics crucial for both academic inquiry and real-world applications. The journal's objectives include advancing the understanding of data-intensive systems, promoting essential methodologies for big data analytics, and enhancing data-driven decision-making processes across various industries. As an open access journal, Big Data Research is committed to disseminating knowledge widely, allowing researchers, professionals, and students to stay at the forefront of developments in this fast-evolving field. Its influence in the academic community is further underscored by a strong commitment to quality and relevance, making it an essential resource for anyone interested in the transformative power of big data.