Types of repositories

Repositories in general can be shared at into three broad categories multidisciplinary, sectoral and institutional repositories.

Dgrowersectoral repositories

Multidisciplinary research data repositories collect and store data from different scientific fields and disciplines. They typically support a wide range of data types and file formats, use generic metadata standards and provide access to a wide range of researchers.
Multidisciplinary repositories promote interdisciplinary collaboration, data re-use and long-term preservation.
  • DataverseLV: The Latvian National Research Data Repository is designed to allow researchers in Latvia to deposit their research data at the end of their projects or research activities. DataverseLV datasets can be published with open, semi-closed or closed access. DataverseLV The repository complies with the FAIR principles
  • Zenodo: A repository developed by OpenAIRE and CERN that not only supports the deposit of data from different scientific disciplines, but also offers the publication of various other research outputs such as presentations, training materials, data management plans, etc.
  • Figshare: offers researchers the possibility to store all types of research results, including large datasets
  • Dryad: A multi-disciplinary repository that offers quality control of metadata before publication

Sectoral repositories

Subject-specific repositories hold data from a specific scientific field or discipline. They may sometimes accept a limited number of data types or file formats, use specialised metadata and terminology, or otherwise restrict the types of data that can be submitted and made available.
Sector-specific data repositories often offer customised tools to help users search, merge and reuse the data deposited there. The data curators working in these repositories are usually specialised in a particular type of data, which provides a higher level of expertise in data management and quality.
However, these repositories also have drawbacks. In general, there are many repositories in different disciplines, so it can be difficult for researchers to determine which is the most relevant or widely used in their research community.
If a project uses different types of data, it may be necessary to split them into several repositories. In addition, for some scientific disciplines or for some types of data, there are no domain-specific repositories at all.

Institutional repositories

Institutional data repositories are developed by academic or scientific institutions to support researchers affiliated to a specific institution and to help them comply with the data management requirements of funders or publishers.
In Latvia, institutional research repositories are available at Riga Stradins University (RSU) and Riga Technical University (RTU). These repositories enable researchers at the respective universities to deposit and store their research data, facilitating their accessibility, preservation and re-use. The institutional repositories support different data formats and provide metadata description.

Types of repositories

Repositories in general can be shared at into three broad categories multidisciplinary, sectoral and institutional repositories.

Dgrowersectoral repositories

Multidisciplinary research data repositories collect and store data from different scientific fields and disciplines. They typically support a wide range of data types and file formats, use generic metadata standards and provide access to a wide range of researchers.
Multidisciplinary repositories promote interdisciplinary collaboration, data re-use and long-term preservation.
  • DataverseLV: The Latvian National Research Data Repository is designed to allow researchers in Latvia to deposit their research data at the end of their projects or research activities. DataverseLV datasets can be published with open, semi-closed or closed access. DataverseLV The repository complies with the FAIR principles
  • Zenodo: A repository developed by OpenAIRE and CERN that not only supports the deposit of data from different scientific disciplines, but also offers the publication of various other research outputs such as presentations, training materials, data management plans, etc.
  • Figshare: offers researchers the possibility to store all types of research results, including large datasets
  • Dryad: A multi-disciplinary repository that offers quality control of metadata before publication

Sectoral repositories

Subject-specific repositories hold data from a specific scientific field or discipline. They may sometimes accept a limited number of data types or file formats, use specialised metadata and terminology, or otherwise restrict the types of data that can be submitted and made available.
Sector-specific data repositories often offer customised tools to help users search, merge and reuse the data deposited there. The data curators working in these repositories are usually specialised in a particular type of data, which provides a higher level of expertise in data management and quality.
However, these repositories also have drawbacks. In general, there are many repositories in different disciplines, so it can be difficult for researchers to determine which is the most relevant or widely used in their research community.
If a project uses different types of data, it may be necessary to split them into several repositories. In addition, for some scientific disciplines or for some types of data, there are no domain-specific repositories at all.

Institutional repositories

Institutional data repositories are developed by academic or scientific institutions to support researchers affiliated to a specific institution and to help them comply with the data management requirements of funders or publishers.
In Latvia, institutional research repositories are available at Riga Stradins University (RSU) and Riga Technical University (RTU). These repositories enable researchers at the respective universities to deposit and store their research data, facilitating their accessibility, preservation and re-use. The institutional repositories support different data formats and provide metadata description.