Big Data and Society Abbreviation (ISO4)

Big Data and Society (ISO4) Standard Journal Abbreviation

Big Data Soc. (Big Data Soc)


Big Data and Society - Abbreviation - Journals usually have long names, such as (Big Data and Society). It is hard to list them in databases with such long names so they’re usually shortened to aid in storing data. These shortened names are known as journal abbreviations. Journal abbreviations are shortened from the Journal title. An example of a Big Data and Society abbreviation is Big Data Soc. (Big Data Soc).

The use of standardized abbreviations is important to get correct and corroborated scientific and technical citations.

Abbreviation of Big Data and Society

The official abbreviation of the Big Data and Society is Big Data Soc. it is a standardized way to abstract, index, and reference a particular journal according to ISO 4. For example, if you’re looking for a scientific journal that particularly publishes research related to Computer science in / then you can gather the required information from Big Data and Society.

This abbreviation of the title meets all the criteria issued by ISO4 for choosing journal title abbreviations.

The official abbreviation of the Big Data and Society is Big Data Soc.


Big Data and Society - Abbreviation Details


Journal Name Big Data and Society
Journal Abbreviation Big Data Soc. (Big Data Soc)
Journal Print 2053-9517 (20539517)
Journal Online 2053-9517 (20539517)
Impact Factor Big Data and Society Impact Factor
CiteScore Big Data and Society CiteScore
Acceptance Rate Big Data and Society Acceptance Rate
SCImago Journal Rank Big Data and Society SJR (SCImago Journal Rank)

ISO4 and LTWA

List of Title Word Abbreviations or LTWA is standard abbreviations for words commonly found in serial titles. LTWA includes has more than 56,000 words and their abbreviations in about 65 languages, it is a vast database. These abbreviated words serve as the basis for constituting “abbreviated key titles” published in the ISSN Register. So might consist of words from LTWA that are formed according to ISO4 by ISSN.

The International Organization for Standardization (ISO) has appointed the ISSN (International Standard Serial Number) International Centre as the registration authority for ISO 4. ISO 4 (Information and documentation – Rules for the abbreviation of title words and titles of publications) is an international standard that marks a static system for the abbreviation of serial publication titles. According to ISO4, terms are abbreviated according to LTWA. It is a list that is filled with all the uniform abbreviations used for words in scientific excerpts. It is based on ISO 4.

International Standard for Serial Numbers provides guidelines for abbreviating titles of serials and, if required, non-serial documents by using alphabets from languages like Latin, Cyrillic, and Greek.

Big Data and Society - Abbreviation

How to abbreviate Journal Titles

  • Omit articles, conjunctions, and prepositions.
  • Capitalize all abbreviated words.
  • Only abbreviate the title proper.
  • Single-word titles and titles in languages, such as Chinese, Japanese, and Korean that use characters should not be abbreviated.
  • Single-syllable words and words of 5 or fewer letters in singular form are not usually abbreviated as it is not required.
  • Words in the can also be abbreviated by the help of contraction (omission of a few internal letters).

Big Data and Society

Big Data & Society (BD&S) is open access, peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities and computing and their intersections with the arts and natural sciences about the implications of Big Data for societies. The Journal's key purpose is to provide a space for connecting debates about the emerging field of Big Data practices and how they are reconfiguring academic, social, industry, business, and government relations, expertise, methods, concepts, and knowledge. BD&S moves beyond usual notions of Big Data and treats it as an emerging field of practice that is not defined by but generative of (sometimes) novel data qualities such as high volume and granularity and complex analytics such as data linking and mining. It thus attends to digital content generated through online and offline practices in social, commercial, scientific, and government domains. This includes, for instance, the content generated on the Internet through social media and search engines but also that which is generated in closed networks (commercial or government transactions) and open networks such as digital archives, open government, and crowdsourced data. Critically, rather than settling on a definition the Journal makes this an object of interdisciplinary inquiries and debates explored through studies of more...









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