Research networking (RN) is about using web-based tools to discover and use research and scholarly information about people and resources. Research networking tools (RN tools) serve as knowledge management systems for the research enterprise. RN tools connect institution-level/enterprise systems, national research networks, publicly available research data (e.g., grants and publications), and restricted/proprietary data by harvesting information from disparate sources into compiled expertise profiles for faculty, investigators, scholars, clinicians, community partners, and facilities. RN tools facilitate the development of new collaborations and team science to address new or existing research challenges through the rapid discovery and recommendation of researchers, expertise, and resources.
Contents
- General
- Data interoperability and integration
- Users profiled user interactivity and networking functionality
- Controlled vocabulary ontologies and author disambiguation
- Bibliometrics
- References
RN tools differ from search engines such as Google in that they access information in databases and other data not limited to web pages. They also differ from social networking systems such as LinkedIn or Facebook in that they represent a compendium of data ingested from authoritative and verifiable sources rather than predominantly individually asserted information, making RN tools more reliable. Yet, RN tools have sufficient flexibility to allow for profile editing. RN tools also provide resources to bolster human connector systems: they can make non-intuitive matches, they do not depend on serendipity, and they do not have a propensity to return only to previously identified collaborations/collaborators. RN tools also generally have associated analytical capabilities that enable evaluation of collaboration and cross-disciplinary research/scholarly activity, especially over time.
Importantly, data harvested into robust RN tools is accessible for broad repurposing, especially if available as Linked Open Data (RDF triples). Thus RN tools enhance research support activities by providing data for customized, up-to-date web pages, CV/biosketch generation, and data tables for grant proposals.
The following tables compare research networking (RN) software.
General
This table provides general information for each tool: name, developing institution, external links to information, whether the code is Open Source and known adopters of the software.
Data interoperability and integration
This table provides information on whether the research networking tool is compatible with institutional enterprise systems (e.g. human resources databases), can be integrated with other external products or add-ons, and can be used for regional, national, international or federated connectivity.
Users profiled, user interactivity and networking functionality
This table provides information on what user population is profiled for each tool, ability for users to edit their own profile data and type of networking. Active networking means that the user can enter connections to the network by entering colleagues' names. Passive networking means that the software infers network connections from a user's publication co-authors and builds a network from these names.
Controlled vocabulary, ontologies and author disambiguation
This table provides information on the types of controlled vocabulary or thesauri used by the tools, as well as ontologies supported and whether author disambiguation is performed by the software.
Bibliometrics
This table provides information on the types of bibliometrics provided in the tool.