Research data repositories must adhere to the FAIR Principles to make data Findable, Accessible, Interoperable, and Reusable as a minimum standard rather than a goal. In addition to making data findable, repositories should also strive to make data discoverable. Discoverability goes beyond cataloging data with just a Direct Object Identifier (DOI) to make it findable. Discoverable data turn up in many kinds of searches via contexts such as topics, variables, and funders. The keys to data discoverability are thorough metadata and effective search engines. Metadata is also important in making data accessible and interoperable. Most repositories for research data have only one method of deposit and access. That is, the repository hosts the on...
There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A dive...
There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A dive...
<p>There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A d...
The needs of and demands on institutional and generalist repositories have changed greatly in the pa...
Data repositories play a crucial role in the evolution of Open Science. The FAIR Data Principles est...
To better support wider sharing and reuse of research data, many organisations and research groups a...
There is a growing demand for quality criteria for research datasets. We will argue that the Data Se...
For open science to flourish, data and any related digital outputs should be discoverable and re-usa...
To better support wider sharing and reuse of research data, many organisations and research groups a...
To better support wider sharing and reuse of research data, many organisations and research groups a...
In this data-driven age there is a need to transform the current publication-focused infrastructure ...
Findable, accessible, interoperable and reusable (FAIR) data are an increasingly important aspect of...
To put the FAIR principles into practice research projects need to make choices, assisted by the pro...
To put the FAIR principles into practice research projects need to make choices, assisted by the pro...
In this data-driven age there is a need to transform the current publication-focused infrastructure ...
There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A dive...
There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A dive...
<p>There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A d...
The needs of and demands on institutional and generalist repositories have changed greatly in the pa...
Data repositories play a crucial role in the evolution of Open Science. The FAIR Data Principles est...
To better support wider sharing and reuse of research data, many organisations and research groups a...
There is a growing demand for quality criteria for research datasets. We will argue that the Data Se...
For open science to flourish, data and any related digital outputs should be discoverable and re-usa...
To better support wider sharing and reuse of research data, many organisations and research groups a...
To better support wider sharing and reuse of research data, many organisations and research groups a...
In this data-driven age there is a need to transform the current publication-focused infrastructure ...
Findable, accessible, interoperable and reusable (FAIR) data are an increasingly important aspect of...
To put the FAIR principles into practice research projects need to make choices, assisted by the pro...
To put the FAIR principles into practice research projects need to make choices, assisted by the pro...
In this data-driven age there is a need to transform the current publication-focused infrastructure ...
There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A dive...
There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A dive...
<p>There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A d...