Dataverse guarantees long term preservation and full credit and web visibility of researchers' data

     

  Data sharing immediately raises many questions, like the security of confidential data, the authenticity of shared data, long term preservation of data,  and the use of shared data without giving credit to data creators. Here is the context of researchers' data that needs to be shared via technological means with the benefit of full credit to the researchers and research results benefitting the research community.
There are two main concerns of any researchers:

Receiving full credit and web visibility of their data, and

Assurance of long term preservation of their data in archives.

Most of the archive repositories do not fulfill both the requirements of researchers. They guarantee long term preservation without giving much credit to the researcher and researchers manage to receive credit by controlling the distribution of data themselves. Dataverse is the solution to the problem of researchers, which is an open-source web application to share, preserve for a long time, cite, explore and analyze research data.

Dataverse is a virtual archive that contains datasets and each dataset contains the descriptive metadata and data files. Data of researchers are managed in the database in the form of the datafile and descriptive metadata associated with it. Dataverse repository is an open-source web-based software that hosts multiple archives called Dataverses.

 Dataverse installation worldwide is being managed by the Harvard's Institute of Quantitative Social Science (IQSS) in collaboration with Harvard University Library and Harvard University Information Technology Organization. It is also being developed at Harvard's IQSS and many collaborators and contributors are supporting it worldwide and recognized as "Harvard Dataverse."

• It guarantees the long term preservation of researcher data.

• It not only preserve data but also helps researchers, data creators, journals, publishers, distributors, and affiliated institutions in receiving credit.

• It helps researchers receive web visibility, academic credit, and increased citation.

• It allows researchers building a personal website for displaying personal research data by setting up personal Dataverse which is served up by a Dataverse repository.

• It helps researchers by making their data sets more discoverable to the scientific community.

• Institutions can build their Dataverse repository providing research data management solutions to institute community. With the growing database repositories worldwide there is increased visibility of the research data of any institution.

• Data citations feature help institutions to take decisions for funding particular research in the future by measuring the usage of data and impact over time.

• It seamlessly manages the metadata and data files of the articles published in the journals and establishes a persistent link between articles of the journals and data associated with it.

  

Dataverses repositories are continuously growing worldwide and the Dataverse community is working on increasing the quality of software and capability of many of its features like expanding archival features, data and metadata features of new and existing disciplines, increase adoption and contributions from the open-source development community.

References:

• https://dataverse.org/about
• https://gking.harvard.edu/files/gking/files/dvn.pdf