OpenBiodiv aims to make biodiversity knowledge easily findable and accessible both by humans and machines. OpenBiodiv has several user-oriented applications, a RESTful API, and a SPARQL endpoint where experienced users can write complex queries.
Using OpenBiodiv one can answer complex questions like these:
- Which articles contain treatments that describe specimens in forest or wood habitats?
- Which taxa that are mentioned together in treatment have a potential feeding relationship?
- Which are the most cited resources and which are the journal articles that cite them?
- What are the life stages and collection dates of all specimens from the genus Eupolybothrus?
- What are the storing institutions of collected holotypes from the family Theraphosidae?
- Which treatments describe materials stored in the Natural History Museum, London? Which taxa are described?
Key features and objectives of OpenBioDiv include:
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Data Integration: It integrates data from various sources, including published literature, databases, and citizen science projects, to create a comprehensive resource.
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Semantic Web Technologies: OpenBioDiv often utilizes semantic web technologies to link and organize data, making it more accessible and interoperable.
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Facilitating Research: By providing a centralized platform, it aids researchers in accessing a wide range of biodiversity data, which can be crucial for studies in ecology, conservation biology, and related fields.
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Open Access: Emphasizing open access principles, OpenBioDiv ensures that the data is freely available to anyone interested, supporting broader research and education initiatives.
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Community Collaboration: The platform may encourage collaboration among scientists, institutions, and citizen scientists, fostering a community around biodiversity data sharing and analysis.
To provide a practical example of how community collaboration works in a platform like OpenBioDiv, let's consider a hypothetical project that involves various members of the community, including researchers, citizen scientists, and educators.
Project: City-Wide Biodiversity Survey
Objective:
To conduct a comprehensive survey of the biodiversity in a metropolitan area, focusing on both flora and fauna.
Steps Involving Community Collaboration:
1. Project Setup and Data Collection:
- A team of researchers sets up the project on OpenBioDiv, defining its goals, methodologies, and data requirements.
- They invite citizen scientists and local educational institutions to participate in data collection.
2. Training and Workshops:
- Before the data collection begins, the researchers organize workshops for citizen scientists and educators. These workshops cover basic biodiversity survey techniques, data recording methods, and how to use the OpenBioDiv platform for data entry and access.
- Online training materials and resources are also made available on OpenBioDiv.
3. Data Collection by Citizen Scientists:
- Citizen scientists, equipped with guidelines and mobile apps connected to OpenBioDiv, visit designated areas within the city to observe and record various species.
- They upload their findings, including photographs, location data, and other observations, directly to OpenBioDiv.
4. Data Verification and Curation:
- Researchers and expert volunteers regularly review the data submitted by citizen scientists for accuracy and completeness.
- Verified data is then curated and integrated into the broader OpenBioDiv database.
5. Collaborative Data Analysis:
- Researchers, students, and interested citizen scientists can access the collected data to conduct various analyses, such as species distribution mapping, habitat analysis, or temporal changes in biodiversity.
- OpenBioDiv's tools enable collaborative analysis, where users can share insights, discuss findings, and work together on research papers or reports.
6. Educational Outreach:
- Educators use the data and findings from the project in their curriculum, providing students with real-world examples of biodiversity and conservation.
- OpenBioDiv hosts educational content and project findings, making it accessible to schools and the public.
7. Public Engagement and Feedback:
- The platform allows for public engagement through forums and discussion boards where participants can share experiences, ask questions, and provide feedback.
- Regular updates on the project's progress and findings are shared with the community through OpenBioDiv.
8. Long-term Monitoring and Updates:
- The project evolves into a long-term monitoring initiative, with ongoing contributions from the community.
- OpenBioDiv serves as the central repository for all data and updates, ensuring continuity and accessibility.
Outcome:
This project not only gathers valuable data on urban biodiversity but also fosters a sense of community among participants. It demonstrates how platforms like OpenBioDiv can facilitate collaboration across different groups, leveraging the collective effort for significant contributions to biodiversity research and education.
Let's explore further this unique service: