Identifying author–inventors from Spain: methods and a first insight into results

Maraut, Stéphane; Martínez, Catalina

doi:10.1007/s11192-014-1409-1

Cited by 19 publications

(11 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, for large scale studies the lack of unification of names and precise person identification in publication-as well as patent databases severely hampers the study of inventor-author relations. Therefore, most studies are still on a smaller scale, for instance a specific country, see Maraut and Martinez (2014) for inventor-author relations in Spain.…”

Section: Inventor-author Relationsmentioning

confidence: 99%

Patent Citations Analysis and Its Value in Research Evaluation: A Review and a New Approach to Map Technology-relevant Research

Raan

2017

Journal of Data and Information Science

View full text Add to dashboard Cite

Purpose First, to review the state-of-the-art in patent citation analysis, particularly characteristics of patent citations to scientific literature (scientific non-patent references, SNPRs). Second, to present a novel mapping approach to identify technology-relevant research based on the papers cited by and referring to the SNPRs. Design/methodology/approach In the review part we discuss the context of SNPRs such as the time lags between scientific achievements and inventions. Also patent-to-patent citation is addressed particularly because this type of patent citation analysis is a major element in the assessment of the economic value of patents. We also review the research on the role of universities and researchers in technological development, with important issues such as universities as sources of technological knowledge and inventor-author relations. We conclude the review part of this paper with an overview of recent research on mapping and network analysis of the science and technology interface and of technological progress in interaction with science. In the second part we apply new techniques for the direct visualization of the cited and citing relations of SNPRs, the mapping of the landscape around SNPRs by bibliographic coupling and co-citation analysis, and the mapping of the conceptual environment of SNPRs by keyword co-occurrence analysis. Findings We discuss several properties of SNPRs. Only a small minority of publications covered by the Web of Science or Scopus are cited by patents, about 3%–4%. However, for publications based on university-industry collaboration the number of SNPRs is considerably higher, around 15%. The proposed mapping methodology based on a “second order SNPR approach” enables a better assessment of the technological relevance of research. Research limitations The main limitation is that a more advanced merging of patent and publication data, in particular unification of author and inventor names, in still a necessity. Practical implications The proposed mapping methodology enables the creation of a database of technology-relevant papers (TRPs). In a bibliometric assessment the publications of research groups, research programs or institutes can be matched with the TRPs and thus the extent to which the work of groups, programs or institutes are relevant for technological development can be measured. Originality/value The review part examines a wide range of findings in the research of patent citation analysis. The mapping approach to identify a broad range of technology-relevant papers is novel and offers new opportunities in research evaluation practices.

show abstract

Section: Inventor-author Relationsmentioning

confidence: 99%

Patent Citations Analysis and Its Value in Research Evaluation: A Review and a New Approach to Map Technology-relevant Research

Raan

2017

Journal of Data and Information Science

View full text Add to dashboard Cite

show abstract

“…Responsiveness of workers improved over time in terms of the proportion of a batch completed after 24 hours 10 and also, in contrast to the findings reported in other studies, weekends seemed to be worse than weekdays in terms of workers' activity. 11 To assess the average quality of the work carried out, we calculated the rate of agreement at the pair level with the expert reviewers used by Maraut and Martínez (2014). Unsurprisingly, mean agreement rates for the 11,918 judgements on the 2,106 pairs presented to AMT workers based on ANOVA tests (not reported here), turned out to be significantly different across batches, tasks and workers.…”

Section: Difficult Tasks In the Context Of Name Disambiguationmentioning

confidence: 99%

“…In order to test the influence of task difficulty on agreement rates, we defined a pair as 'difficult to disambiguate' making use of the variable global score from Maraut and Martínez (2014). In their setting, the global score is a standardised weighted combination of the values of name matching, direct disambiguation and indirect disambiguation variables at the pair level.…”

Section: Difficult Tasks In the Context Of Name Disambiguationmentioning

confidence: 99%

Microwork platforms as enablers to new ecosystems and business models: the challenge of managing difficult tasks

Dalle

Besten

Martínez

et al. 2017

IJTM

Self Cite

View full text Add to dashboard Cite

We explore how microwork platforms manage difficult tasks in paid crowdsourcing environments. We argue that as human computation becomes more prevalent, notably in the context of big data ecosystems, microwork platforms might have to evolve and to take a more managerial stance in order to provide the right incentives to online workers to handle difficult tasks. We illustrate this first through a name disambiguation experiment on Amazon Mechanical Turk (AMT), a well-known microwork platform, and second through direct analysis of the dynamics of task execution in a dataset of real microwork projects on AMT. We discuss the emergence of more specialised microwork platforms as an attempt to facilitate a better management of difficult tasks in the context of paid crowdsourcing.

show abstract

“…Maraut and Martínez (2014) for the description of how the patent data was collected and matched to professors.…”

Section: Appendix a Datamentioning

confidence: 99%

Does the Gender Composition of Scientific Committees Matter?

2015

View full text Add to dashboard Cite

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. www.econstor.eu The Institute for the Study of Labor (IZA) in Bonn is a local and virtual international research center and a place of communication between science, politics and business. IZA is an independent nonprofit organization supported by Deutsche Post Foundation. The center is associated with the University of Bonn and offers a stimulating research environment through its international network, workshops and conferences, data service, project support, research visits and doctoral program. IZA engages in (i) original and internationally competitive research in all fields of labor economics, (ii) development of policy concepts, and (iii) dissemination of research results and concepts to the interested public. Terms of use: Documents in D I S C U S S I O N P A P E R S E R I E SIZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author. We analyze how a larger presence of female evaluators affects committee decision-making using information on 100,000 applications to associate and full professorships in all academic disciplines in two countries, Italy and Spain. These applications were assessed by 8,000 evaluators who were selected through a random draw. A larger number of women in evaluation committees does not increase either the quantity or the quality of female candidates who qualify. If anything, when evaluators' are not familiar with candidates' research area, gender-mixed committees tend to be less favorable towards female candidates than all-male committees, with the exception of evaluations to full professorships in Spain. Data from 300,000 individual voting reports suggests that men become less favorable towards female candidates as soon as a woman joins the committee.JEL Classification: J71, J16

show abstract

Identifying author–inventors from Spain: methods and a first insight into results

Cited by 19 publications

References 30 publications

Patent Citations Analysis and Its Value in Research Evaluation: A Review and a New Approach to Map Technology-relevant Research

Patent Citations Analysis and Its Value in Research Evaluation: A Review and a New Approach to Map Technology-relevant Research

Microwork platforms as enablers to new ecosystems and business models: the challenge of managing difficult tasks

Does the Gender Composition of Scientific Committees Matter?

Contact Info

Product

Resources

About