The term domain science refers to a variety of scientific disciplines and production industries, primarily related to the life sciences (e.g. agriculture, fisheries). Scientists and practitioners in these fields increasingly deal with large volumes of data produced as an output of their working and research practices, such as crop yields and lab data. While many localised networks have sprung up to share and analyse data within specific fields, there are still impediments to sharing and reusing data across networks. The groups listed under this topic tend to share a common goal of producing open, standardised frameworks for the description of data within their field or industry, as well as developing minimal metadata sets and community agreed vocabularies and ontologies.
Agriculture Data IG (IGAD) The Interest Group on Agricultural Data (IGAD) is a domain orientated umbrella group working on issues related to global agricultural data. It promotes good practice in research with regard to data sharing and interoperability, and the development of data management plans. The interest group serves as a platform for the creation of domain related working groups; with three groups having been formed out of IGAD so far: the Wheat Data Interoperability Working Group, the Rice Data Interoperability Working Group and AgriSemantics Working Group.
The Agrisemantics working group aims to be a community hub, supporting the diffusion of knowledge and practices related to semantic interoperability in agriculture at an infrastructural level, in order to enable data producers to find, access, and reuse accurate semantic resources for their data.
Biodiversity Data Integration IG This interest group aims to increase the effectiveness of biodiversity e-infrastructures by promoting the adoption of common tools and services and working towards the development of shared taxonomies, vocabularies and ontologies which allow the use of generalised and abstracted terms, without sacrificing descriptive richness or clarity. The initial focus of the group includes the drafting of an agenda to rationalise species data management. The group aims to become a sustainable component of major biodiversity initiatives including LifeWatch, EU BON, GBIF, Encyclopedia of Life and Atlas of Living Australia.
BioSharing Registry WG The aim of this working group is to produce a searchable registry of linked and reliable resources (funder policies, databases, content standards, journals) for a variety of stakeholders working in the life sciences. These stakeholders – such as researchers, funders, and journals – will be able to select and recommend community endorsed standards, while repository developers will be able to confirm the requirements of their products for discoverability and endorsement.
Chemistry Research Data IG The Chemistry Research Data Interest Group aims to foster an exchange on issues specific to data in the field of chemistry. While there is a wealth of research data originating from various systems in related domains, there are many infrastructural barriers to the sharing and reuse of this data. The Chemistry Research Data IG aims to characterise different chemical data types of interest, leverage efforts from relevant parties to establish metadata and ontological standards, and cultivate a sharing culture amongst researchers and professionals in the chemistry field. This will be accompanied by an examination of the current workflows and processes involving the use of chemical data, with an emphasis on instrument makers in order to lower barriers to data sharing.
Digital Practices in History and Ethnography IG This Interest Group aims to become a hub for the development of a data infrastructure for historical and ethnographic research, attracting a global network of practitioners to share tools and experiences. It seeks to establish a Working Group out of this network, with intended outputs including recommendations for both best practice and metadata standards for researcher created primary data, and characterisations and recommendations for user agreements, citation practices and digital exhibition protocols.
Fisheries Data Interoperability WG The Fisheries Data Interoperability Working Group (FDIWG) seeks to devise a global exchange and framework for the integration of data to support scientific processes and research on stock status. The framework will use existent and open standards for the identification, description, mapping and publication of fisheries data. Specifically, it will examine the requirements for a minimal metadata set to describe fisheries and stock data, and seek to recommend global standards for related topical vocabularies and ontologies. The group will prioritise selected needs expressed by its participant members’ organisations and networks focusing on harmonisation and integration of existent schemes and endeavours.
On-Farm Data Sharing (OFDS) WG Developments in technology (strip trials) have allowed farmers to monitor yields like never before. As a result networks have developed for farmers to share and critically evaluate these yield monitors across many fields. However, the data stewardship protocols for collecting and sharing the results of strip trials vary across networks. The purpose of the On-Farm Data Sharing Working Group is the development of standardised data stewardship protocols that are operable across networks, in order to promote new networks, guarantee confidentiality, and facilitate combining results in a single secure database.
Rice Data Interoperability WG The objective of the Rice Research Data Interoperability Working Group is to provide a framework for community accepted standards to aid data integration and analysis, and bridge the gap in free data sharing in rice research data. The framework will help identify, describe, and link rice data using open standards. The group will also address issues such as the development of a minimal metadata set and selection of appropriate vocabularies. The group will encourage adoption of the outputted framework even within private (for-profit) institutions.
Wheat Data Interoperability WG The Wheat Data Interoperability Working Group seeks to devise a common framework to promote and sustain wheat data sharing, reusability and operability. The framework will use open standards for the identification, description, mapping and publication of wheat data. It will also examine the requirements for a minimal metadata set to describe wheat data, and seek to develop recommendations on topical vocabularies and ontologies. The group aims to produce a 'cookbook' on how to produce easily shareable, reusable and interoperable wheat data.
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