“Academic libraries, and institutional repositories in particular, play a key role in the ongoing quest for ways to gather metrics and connect the dots between researchers and research contributions in order to measure “institutional impact,” while also streamlining workflows to reduce administrative burden. Identifying accurate metrics and measurements for illustrating “impact” is a goal that many academic research institutions share, but these goals can only be met to the extent that all organizations across the research and scholarly communication landscape are using best practices and shared standards in research infrastructure. For example, persistent identifiers (PIDs) such as ORCID iDs (Open Researcher and Contributor Identifier) and DOIs (Digital Object Identifiers) have emerged as crucial best practices for establishing connections between researchers and their contributions while also serving as a mechanism for interoperability in sharing data across systems. The more institutions using persistent identifiers (PIDs) in their workflows, the more connections can be made between entities, making research objects more FAIR (findable, accessible, interoperable, and reusable). Also, when measuring institutional repository usage, clean, comparable, standards-based statistics are needed for accurate internal assessment, as well as for benchmarking with peer institutions….”
Category Archives: oa.irus-us
Open Research Infrastructure Programs at LYRASIS
“Academic libraries, and institutional repositories in particular, play a key role in the ongoing quest for ways to gather metrics and connect the dots between researchers and research contributions in order to measure “institutional impact,” while also streamlining workflows to reduce administrative burden. Identifying accurate metrics and measurements for illustrating “impact” is a goal that many academic research institutions share, but these goals can only be met to the extent that all organizations across the research and scholarly communication landscape are using best practices and shared standards in research infrastructure. For example, persistent identifiers (PIDs) such as ORCID iDs (Open Researcher and Contributor Identifier) and DOIs (Digital Object Identifiers) have emerged as crucial best practices for establishing connections between researchers and their contributions while also serving as a mechanism for interoperability in sharing data across systems. The more institutions using persistent identifiers (PIDs) in their workflows, the more connections can be made between entities, making research objects more FAIR (findable, accessible, interoperable, and reusable). Also, when measuring institutional repository usage, clean, comparable, standards-based statistics are needed for accurate internal assessment, as well as for benchmarking with peer institutions….”
IRUS-US: Institutional Repository Usage Statistics Service
“LYRASIS is partnering with Jisc to form and administer a new IRUS-US community of users. Institutions participating in IRUS-US install the IRUS tracker, allowing Jisc to collects raw download data for all item types and processes those raw data into COUNTER-conformant statistics. Those statistics are aggregated in open access statistical reports, allowing institutions to: share usage information with individual researchers; share usage information with administration; compare usage information with peer institutions; and use usage information to identify national trends.
IRUS-US functions as a small piece of code that is added to IR, enabling a ‘tracker protocol’ that allows Jisc to collect the raw data. Current compatible IR softwares include Dspace, Eprints, Fedora, Figshare, Haplo, Pure portal, Worktribe, Equella and Esploro. Any institution using a software not listed above should contact LYRASIS and indicate their interest, and we will do our best to encourage the software creators to add IRUS tracker functionality into their software capabilities.”
IRUS-US: Institutional Repository Usage Statistics Service
“LYRASIS is partnering with Jisc to form and administer a new IRUS-US community of users. Institutions participating in IRUS-US install the IRUS tracker, allowing Jisc to collects raw download data for all item types and processes those raw data into COUNTER-conformant statistics. Those statistics are aggregated in open access statistical reports, allowing institutions to: share usage information with individual researchers; share usage information with administration; compare usage information with peer institutions; and use usage information to identify national trends.
IRUS-US functions as a small piece of code that is added to IR, enabling a ‘tracker protocol’ that allows Jisc to collect the raw data. Current compatible IR softwares include Dspace, Eprints, Fedora, Figshare, Haplo, Pure portal, Worktribe, Equella and Esploro. Any institution using a software not listed above should contact LYRASIS and indicate their interest, and we will do our best to encourage the software creators to add IRUS tracker functionality into their software capabilities.”