DBRepo: a Semantic Digital Repository for Relational Databases
Data curation is a complex, multi-faceted task. While dedicated data stewards are starting to take care of these activities in close collaboration with researchers for many types of (usually file-based) data in many institutions, this is rarely yet the case for data held in relational databases. Be...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
University of Edinburgh
2022-09-01
|
| Series: | International Journal of Digital Curation |
| Online Access: | http://www.ijdc.net/article/view/825 |
| _version_ | 1798035493622906880 |
|---|---|
| author | Martin Weise Moritz Staudinger Cornelia Michlits Eva Gergely Kirill Stytsenko Raman Ganguly Andreas Rauber |
| author_facet | Martin Weise Moritz Staudinger Cornelia Michlits Eva Gergely Kirill Stytsenko Raman Ganguly Andreas Rauber |
| author_sort | Martin Weise |
| collection | DOAJ |
| description |
Data curation is a complex, multi-faceted task. While dedicated data stewards are starting to take care of these activities in close collaboration with researchers for many types of (usually file-based) data in many institutions, this is rarely yet the case for data held in relational databases. Beyond large-scale infrastructures hosting e.g. climate or genome data, researchers usually have to create, build and maintain their database, care about security patches, and feed data into it in order to use it in their research. Data curation, if at all, usually happens after a project is finished, when data may be exported for digital preservation into file repository systems.
We present DBRepo, a semantic digital repository for relational databases in a private cloud setting designed to (1) host research data stored in relational databases right from the beginning of a research project, (2) provide separation of concerns, allowing the researchers to focus on the domain aspects of the data and their work while bringing in experts to handle classic data management tasks, (3) improve findability, accessibility and reusability by offering semantic mapping of metadata attributes, and (4) focus on reproducibility in dynamically evolving data by supporting versioning and precise identification/cite-ability for arbitrary subsets of data.
|
| first_indexed | 2024-04-11T20:58:04Z |
| format | Article |
| id | doaj.art-24b930dcd35b4140b7fa1a7fe3ee77eb |
| institution | Directory Open Access Journal |
| issn | 1746-8256 |
| language | English |
| last_indexed | 2024-04-11T20:58:04Z |
| publishDate | 2022-09-01 |
| publisher | University of Edinburgh |
| record_format | Article |
| series | International Journal of Digital Curation |
| spelling | doaj.art-24b930dcd35b4140b7fa1a7fe3ee77eb2022-12-22T04:03:35ZengUniversity of EdinburghInternational Journal of Digital Curation1746-82562022-09-0117110.2218/ijdc.v17i1.825DBRepo: a Semantic Digital Repository for Relational DatabasesMartin Weise0Moritz Staudinger1Cornelia Michlits2Eva Gergely3Kirill Stytsenko4Raman Ganguly5Andreas Rauber6TU WienTU WienTU WienUniversity of ViennaUniversity of ViennaUniversity of ViennaTU Wien Data curation is a complex, multi-faceted task. While dedicated data stewards are starting to take care of these activities in close collaboration with researchers for many types of (usually file-based) data in many institutions, this is rarely yet the case for data held in relational databases. Beyond large-scale infrastructures hosting e.g. climate or genome data, researchers usually have to create, build and maintain their database, care about security patches, and feed data into it in order to use it in their research. Data curation, if at all, usually happens after a project is finished, when data may be exported for digital preservation into file repository systems. We present DBRepo, a semantic digital repository for relational databases in a private cloud setting designed to (1) host research data stored in relational databases right from the beginning of a research project, (2) provide separation of concerns, allowing the researchers to focus on the domain aspects of the data and their work while bringing in experts to handle classic data management tasks, (3) improve findability, accessibility and reusability by offering semantic mapping of metadata attributes, and (4) focus on reproducibility in dynamically evolving data by supporting versioning and precise identification/cite-ability for arbitrary subsets of data. http://www.ijdc.net/article/view/825 |
| spellingShingle | Martin Weise Moritz Staudinger Cornelia Michlits Eva Gergely Kirill Stytsenko Raman Ganguly Andreas Rauber DBRepo: a Semantic Digital Repository for Relational Databases International Journal of Digital Curation |
| title | DBRepo: a Semantic Digital Repository for Relational Databases |
| title_full | DBRepo: a Semantic Digital Repository for Relational Databases |
| title_fullStr | DBRepo: a Semantic Digital Repository for Relational Databases |
| title_full_unstemmed | DBRepo: a Semantic Digital Repository for Relational Databases |
| title_short | DBRepo: a Semantic Digital Repository for Relational Databases |
| title_sort | dbrepo a semantic digital repository for relational databases |
| url | http://www.ijdc.net/article/view/825 |
| work_keys_str_mv | AT martinweise dbrepoasemanticdigitalrepositoryforrelationaldatabases AT moritzstaudinger dbrepoasemanticdigitalrepositoryforrelationaldatabases AT corneliamichlits dbrepoasemanticdigitalrepositoryforrelationaldatabases AT evagergely dbrepoasemanticdigitalrepositoryforrelationaldatabases AT kirillstytsenko dbrepoasemanticdigitalrepositoryforrelationaldatabases AT ramanganguly dbrepoasemanticdigitalrepositoryforrelationaldatabases AT andreasrauber dbrepoasemanticdigitalrepositoryforrelationaldatabases |