Developing data interoperability using standards: A wheat community use case

نویسندگان

  • Esther Dzale Yeumo
  • Michael Alaux
  • Elizabeth Arnaud
  • Sophie Aubin
  • Ute Baumann
  • Patrice Buche
  • Laurel Cooper
  • Hanna Ćwiek-Kupczyńska
  • Robert P Davey
  • Richard Allan Fulss
  • Clement Jonquet
  • Marie-Angélique Laporte
  • Pierre Larmande
  • Cyril Pommier
  • Vassilis Protonotarios
  • Carmen Reverte
  • Rosemary Shrestha
  • Imma Subirats
  • Aravind Venkatesan
  • Alex Whan
  • Hadi Quesneville
چکیده

In this article, we present a joint effort of the wheat research community, along with data and ontology experts, to develop wheat data interoperability guidelines. Interoperability is the ability of two or more systems and devices to cooperate and exchange data, and interpret that shared information. Interoperability is a growing concern to the wheat scientific community, and agriculture in general, as the need to interpret the deluge of data obtained through high-throughput technologies grows. Agreeing on common data formats, metadata, and vocabulary standards is an important step to obtain the required data interoperability level in order to add value by encouraging data sharing, and subsequently facilitate the extraction of new information from existing and new datasets. During a period of more than 18 months, the RDA Wheat Data Interoperability Working Group (WDI-WG) surveyed the wheat research community about the use of data standards, then discussed and selected a set of recommendations based on consensual criteria. The recommendations promote standards for data types identified by the wheat research community as the most important for the coming years: nucleotide sequence variants, genome annotations, phenotypes, germplasm data, gene expression experiments, and physical maps. For each of these data types, the guidelines recommend best practices in terms of use of data formats, metadata standards and ontologies. In addition to the best practices, the guidelines provide examples of tools and implementations that are likely to facilitate the adoption of the recommendations. To maximize the adoption of the recommendations, the WDI-WG used a community-driven approach that involved the wheat research community from the start, took into account their needs and practices, and provided them with a framework to keep the recommendations up to date. We also report this approach's potential to be generalizable to other (agricultural) domains.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Developing data interoperability using standards: A wheat

In this article, we present a joint effort of the wheat research community, along with data and ontology experts, to develop wheat data interoperability guidelines. Interoperability is the ability of two or more systems and devices to cooperate and exchange data, and interpret that shared information. Interoperability is a growing concern to the wheat scientific community, and agriculture in ge...

متن کامل

Developing data interoperability using standards: A wheat

In this article, we present a joint effort of the wheat research community, along with data and ontology experts, to develop wheat data interoperability guidelines. Interoperability is the ability of two or more systems and devices to cooperate and exchange data, and interpret that shared information. Interoperability is a growing concern to the wheat scientific community, and agriculture in ge...

متن کامل

Making Biomedical Data Usable: NIH Community-Based Data and Metadata Standards Efforts

• Collect, organize, and make available trusted, systematically organized, and curated information about data-related standards Community-based standards development • Activities that could advance community-based standards landscape (e.g., creating a collaborative workspace or an advising structure toward standards development, extension, or adoption). • Gaps in community-based data standards ...

متن کامل

Opening and Linking Agricultural Research Data

A Research Data Alliance (RDA) Interest Group has formed around a community of scientists and researchers who wish to make agricultural data, information, and knowledge more accessible. The objective of the Agricultural Data Interest Group is to get together active representatives of the major international institutions that work on agricultural research and innovation worldwide, in order to ad...

متن کامل

Conformance Testing and Interoperability: A Case Study in Healthcare Data Exchange

Correct data exchange is critical for ensuring reliable healthcare systems. Standards based systems are the foundation for achieving this goal. However, standards alone are not enough to ensure this promise; conformance and interoperability testing are essential. We present and compare conformance testing strategies for a widely used healthcare clinical data exchange messaging standard. We disc...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره 6  شماره 

صفحات  -

تاریخ انتشار 2017