Discover Data (Record no. 1233)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03466nas a22004095i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 2731-6955 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260610082446.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220225s||||||||sz uu poo|||||| b|EN |d |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER | |
| International Standard Serial Number | 2731-6955 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/44248.2731-6955 |
| Source of number or code | doi |
| 210 10 - ABBREVIATED TITLE | |
| Abbreviated title | Discov Data |
| 245 10 - TITLE STATEMENT | |
| Title | Discover Data |
| Medium | [electronic resource] / |
| Statement of responsibility, etc. | edited by Hongzhi Wang, Tianyong Hao, Nitesh V. Chawla, Nitesh V. Chawla, Nitesh V. Chawla. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Cham : |
| Name of producer, publisher, distributor, manufacturer | Springer International Publishing : |
| -- | Imprint: Discover. |
| 300 ## - online resource | |
| Other physical details | online resource. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Discover Data is a broad, open access journal publishing research into the theory and application of data science and data analytics across all fields of research. The journal welcomes submission of papers detailing the application of existing data science-driven techniques to novel problems in science, industry and society, as much as primary research into data theory, management and analysis. The journal also welcomes the submission of data notes describing novel, open datasets and the methodologies used in the acquisition and processing of these. These datasets should have scientific value to the research community, and must be available for reuse as per the FAIR criteria. The journal aims to serve a wide range of communities from computer and information scientists and statisticians as well as researchers engaged with data-driven approaches to all areas of science, including the natural sciences, clinical and medical research and social science disciplines. The journal particularly welcomes research that contributes to achieving the global aims of the United Nations Sustainable Development Goals. Topics Discover Data covers topics including (but not limited to) the following primary areas: data collection and data acquisition data processing data analysis data maintenance and data integrity data curation data management systems data compression As well as data-driven applications to natural sciences healthcare and medicine humanities and social sciences Content Types Discover Data welcomes a variety of article types – please see our submission guidelines for details. The journal also publishes guest-edited Topical Collections of relevance to all aspects of data science research. For more information, please follow up with our journal publishing contact. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data structures (Computer science). |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Information theory. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data protection. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Quantitative research. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Sampling (Statistics). |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial intelligence—Data processing. |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data Structures and Information Theory. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data and Information Security. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data Analysis and Big Data. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Methodology of Data Collection and Processing. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data Science. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Wang, Hongzhi. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Hao, Tianyong. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Chawla, Nitesh V. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Chawla, Nitesh V. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Chawla, Nitesh V. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/44248.2731-6955">https://doi.org/10.1007/44248.2731-6955</a> |
| Public note | Open Access |
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