Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

A tool for sourcing sustainable building renovation : The energy efficiency maturity matrix

The success of sustainable building renovation is inevitably dependent on the capabilities of the involved stakeholders throughout the entire project. Therefore, any building client with intentions of sustainable building renovations must reflect on sourcing the adequate capabilities for a sustainable renovation project. The question in focus is: how to facilitate a sourcing strategy for energy-efficient sustainable building renovation and maintenance. This study on energy efficiency implementations shows that even in developed countries like Sweden, where energy efficiency is regulated by the EU, national legislation and other public policies, the municipal facilities management organizations need process guidance to navigate in decisions regarding in-house capabilities and collaboration with external service providers. A dialogue tool for the sourcing process, the energy efficiency maturity matrix, is developed to support future sourcing processes for energy-efficient buildings as a prominent part of the broader field of sustainable building renovation and maintenance. The future will show when building clients to a larger extent will embrace sourcing strategies instead of mainly focusing on specific technical improvements. The new International standards for facilities management (ISO18480 series) might support this change process, as it includes a sourcing approach, from a strategic level to an operational level, to add more value and to optimize costs

A Tool for Sourcing Sustainable Building Renovation: The Energy Efficiency Maturity Matrix

The success of sustainable building renovation is inevitably dependent on the capabilities of the involved stakeholders throughout the entire project. Therefore, any building client with intentions of sustainable building renovations must reflect on sourcing the adequate capabilities for a sustainable renovation project. The question in focus is: how to facilitate a sourcing strategy for energy-efficient sustainable building renovation and maintenance. This study on energy efficiency implementations shows that even in developed countries like Sweden, where energy efficiency is regulated by the EU, national legislation and other public policies, the municipal facilities management organizations need process guidance to navigate in decisions regarding in-house capabilities and collaboration with external service providers. A dialogue tool for the sourcing process, the energy efficiency maturity matrix, is developed to support future sourcing processes for energy-efficient buildings as a prominent part of the broader field of sustainable building renovation and maintenance. The future will show when building clients to a larger extent will embrace sourcing strategies instead of mainly focusing on specific technical improvements. The new International standards for facilities management (ISO18480 series) might support this change process, as it includes a sourcing approach, from a strategic level to an operational level, to add more value and to optimize costs

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical science. © The Author(s) 2019. Published by Oxford University Press