Finding useful data across multiple biomedical data repositories using DataMed

By Lucila Ohno-Machado, S. Sansone, George Alter, I. Fore, J. Grethe, Hua Xu, Alejandra N. González-Beltrán, P. Rocca-Serra, Anupama E. Gururaj, E. Bell and 3 more. 2017

95 citations recorded by the source corpus.

The value of broadening searches for data across multiple repositories has been identified by the biomedical research community. As part of the US National Institutes of Health (NIH) Big Data to Knowledge initiative, we work with an international community of researchers, service providers and knowledge experts to develop and test a data index and search engine, which are based on metadata extracted from various data sets in a range of repositories. DataMed is designed to be, for data, what PubMed has been for the scientific literature. DataMed supports the findability and accessibility of data sets. These characteristics—along with interoperability and reusability—compose the four FAIR principles to facilitate knowledge discovery in today's big data–intensive science landscape.

Subfields: Information Systems, Information Systems and Management, Molecular Biology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

1. Ugur Kursuncu
2. Manas Gaur
3. Amit P. Sheth
4. William R. Hersh

In Information Systems and Management

1. William R. Hersh

In Molecular Biology

1. Ugur Kursuncu
2. Amit P. Sheth
3. William R. Hersh

Citations in the corpus

• Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning (2019, methodology): “Moreover, the ML models that are deployed in the absence of transparency and accountability (Rudin 2019) and trained on biased datasets, can lead to grave consequences, such as potential social discrimination and unfair treatment (Olteanu et al. 2019).”
• Information Retrieval: A Biomedical and Health Perspective (2020, methodology): “The biomedical and healthCAre Data Discovery Index Ecosystem (bioCADDIE) [8] is accessed via the DataMed search interface39 and is based on a DAta Tag Suite (DATS) for datasets [9].”