White Paper on Joint Replacement: Status of Hip and Knee Arthroplasty Care in Germany

This White Paper details the status of hip and knee arthroplasty care in Germany. Hip and knee replacements are amongst the most frequently performed procedures and usually become necessarily due to age-related wear of the joint, osteoarthritis and fractures of the femoral neck. In light of demographic change, demands with regard to standards of care and the procedures are likely to rise. This book addresses people involved in shaping and representing the healthcare system from a variety of fields including medical professions, health insurances and health sciences as well as journalists and patient representatives

ODDPub – a Text-Mining Algorithm to Detect Data Sharing in Biomedical Publications

Open research data are increasingly recognized as a quality indicator and an important resource to increase transparency, robustness and collaboration in science. However, no standardized way of reporting Open Data in publications exists, making it difficult to find shared datasets and assess the prevalence of Open Data in an automated fashion. We developed ODDPub (Open Data Detection in Publications), a text-mining algorithm that screens biomedical publications and detects cases of Open Data. Using English-language original research publications from a single biomedical research institution (n = 8689) and randomly selected from PubMed (n = 1500) we iteratively developed a set of derived keyword categories. ODDPub can detect data sharing through field-specific repositories, general-purpose repositories or the supplement. Additionally, it can detect shared analysis code (Open Code). To validate ODDPub, we manually screened 792 publications randomly selected from PubMed. On this validation dataset, our algorithm detected Open Data publications with a sensitivity of 0.73 and specificity of 0.97. Open Data was detected for 11.5% (n = 91) of publications. Open Code was detected for 1.4% (n = 11) of publications with a sensitivity of 0.73 and specificity of 1.00. We compared our results to the linked datasets found in the databases PubMed and Web of Science. Our algorithm can automatically screen large numbers of publications for Open Data. It can thus be used to assess Open Data sharing rates on the level of subject areas, journals, or institutions. It can also identify individual Open Data publications in a larger publication corpus. ODDPub is published as an R package on GitHub

LOMIKON

LOMIKON is a digital interactive encyclopedia on the performance-based allocation of state funds in research (Leistungsorientierte Mittelvergabe, LoM) within the organizations of the Berlin University Alliance (BUA

Principles of Good Evaluation Practice in Research

The Good Evaluation Practice in Research project addresses (inter-) national recommendations and principles of Good Evaluation Practice in literature, policy papers or in the context of major initiatives

April27th2022_Presentation BUA Kolloqium_Interims Report

The set of slides that report on the preliminary results and status of the project on April 27th 2022. Presented during the virtual BUA Kolloquium in Berlin