1,720,961 research outputs found
Funding organization uses the regional CRIS as source for reporting research: the case of FWO and FRIS
No full textFWO launched a pilot where data from FRIS, the regional CRIS of Flanders, were used to capture information on the outputs of the FWO funded research projects. The pilot of this quite unique approach was implemented in a few steps: defining the scope of the pilot (peer-reviewed scientific publications only), establishing definitions of the concepts in collaboration with the research stakeholders, building golden records of projects and publications in FRIS, and developing API's to harvest the data.
This method as well as the outcome of the pilot proved to be successful. The information on publications linked to FWO-projects was harvested from FRIS and used to prefill the FWO reporting template. The benefits and lessons learned of this pilot are described. Establishing definitions for the research output categories was time-consuming but necessary for obtaining more uniform and more qualitative data.
The administrative burden for researchers was reduced in the sense that the information was prefilled in the reporting template. On the other hand, researchers and research institutions had to invest time and effort into the change of the reporting process. Once this process will become mainstream, the real reduction in administrative burden will become obvious. Also research institutions will benefit from the FRIS golden record service, as they will be able to harvest-information that was already provided by other research institutions.
As the overall outcome of the pilot was positive, FWO has already started the next phase in which the same method is used and the scope is extended to non-peer-reviewed publications, papers in proceedings of scientific conferences, dissertations, books, book chapters, patents, datasets and other outputs. For FRIS this pilot and the next phase contribute to its ambition to become the unique and complete hub for all research information in Flanders
Dataset Metadata in the Flemish Research Landscape
No full textThe scope of this project group (PG) was to optimize process flows and systems related to research
(meta)data gathering and publishing for Flemish research performing institutions (RPOs).
The PG aimed to reduce monetary and labour costs of managing shared research data for all partners
involved, while improving the discoverability and quality of research metadata.
A questionnaire was distributed and followed up by structured interviews with research
support staff from various Flemish research performing organisations (RPOs) to understand the
current ecosystem and identify areas for improvement. The scope of key Deliverable 1 was to
visualise the current flow of research dataset metadata within the Flemish research landscape using a
business process model (BPM), and to produce a list of recommendations to improve this flow.
After mapping the current flow based on part 1 of the questionnaire, part 2 consulted the institutions
on their business needs, which areas for improvement they considered necessary, and what the ideal
flow would look like. A thorough analysis of the interview responses yielded a list of 10
recommendations. Using a prioritisation exercise, these 10 recommendations were scored for
implementation ease and impact, after which the following 4 recommendations were selected for
further elaboration:
1. RPOs should make greater use of the regional research data portal (Flanders Research
Information Space, FRIS1) to pull in, validate and enrich metadata previously provided by
partner institutions (for example in the case of collaborations, and researchers with multiple
affiliations), and then feed it back to FRIS. This would greatly reduce administrative
investments in metadata registering and publishing.
2. RPOs should explore opportunities to build out integrations with external repositories and
aggregators to ingest dataset metadata from affiliated researchers (This is worked out as a
proof of concept in key deliverable 2, pp.25).
3. RPOs should explore the opportunities of premium ORCID integration. When correct ORCID
usage is promoted with researchers, this system ensures that RPOs know where and when to
retrieve dataset metadata.
4. The FOSB application profile for research datasets contains more mandatory metadata fields
compared to commonly used standards such as DataCite and Dublin Core, creating extra work
due to the need for manual enrichments. Changing the status of some of the metadata fields
of the FOSB application profile for research datasets from ‘Mandatory’ to ‘Recommended’ or
‘Optional’ would significantly reduce the workload of manually enriching fields with missing
information. As a consequence, more dataset metadata records can also be submitted to
FRIS. Here, it remains important to stimulate RPOs to provide as much metadata as possible,
for instance by flagging records that do not contain all necessary metadata fields to be
included in the Open Science KPI calculation.
1 https://researchportal.be/nl
1
Based on the interviews, it was found that RPOs encounter many challenges when trying to
retrieve and capture dataset metadata (often manual entry by researchers or research staff).
RPOs generally have a very limited overview of their own research data outputs, so a necessary first
step is to find their affiliated datasets. The scope of Key Deliverable 2 was to develop a method to
find and ingest dataset metadata associated with specific knowledge institutions, that can be
implemented by all RPOs. To define this method, business needs were collected and prioritised,
limitations of available technology were identified and a proof of concept (POC) was implemented.
In this POC two new methods were explored and compared to the current flow. A first candidate is
‘The Modular Approach’ in which various sources (aggregators, repositories,...) are iteratively queried
by the RPOs to find the metadata related to their organisation.
The second candidate, ‘The Registration Approach’, is already being implemented by several RPOs
(e.g., UGent, KU Leuven), and involves researchers entering DOIs (or other PIDs) into a system which
then automatically harvests the relevant metadata from the appropriate repository.
The main output of Key Deliverable 2 is a description of a two-pronged approach for
registering more datasets within the Flemish ecosystem: a combination of a modular and a
registration approach. The modular approach is based on an analysis of the coverage of existing
dataset aggregator services and an examination of which sources could be consulted to find the
greatest number of datasets affiliated with Flemish institutions. The analyses showed that the best
method to find the highest number of datasets was to use the APIs of various data repositories to
search directly for affiliated datasets. The proof-of-concept demonstrates that the modular approach
was able to find over 800 datasets published in 2022, significantly more than the 320 currently
registered in FRIS. We describe the methods used to search several of the main data repositories used
by Flemish researchers, and we also describe the strategy for how the modular approach could be
maintained and extended. We augment this with a discussion of the registration approach, whereby
researchers could quickly and easily register their published datasets with their institutional CRIS and
FRIS, using many of the same structural components as the modular approach.
The registration method has the benefit of immediate manual enrichment by the researcher and
precision, while the harvesting approach only pulls in whatever metadata is available via the API's of
the aggregators and repositories and will likely always include some false positives. The two methods
together are complementary in nature, i.e. the registration method can fill the gaps in coverage and
precision of the harvesting method.
Based on the POC, this project group advises to establish a formal group or community within
the FRDN existing of research data staff (RDM support staff and technical staff) to develop and
maintain a platform to exchange knowledge regarding metadata harvesting procedures (codes,
queries, best practices etc.) based on the POC that resulted from this project group. This will benefit
both dataset metadata registration and harvesting. Starting from the scripts for the most common
repositories and aggregators, new scripts for other sources can be developed, shared and used by all
RPOs. The RPOs can develop their own way of importing the output from the scripts into their
CRIS-systems. This collaborative approach will ease the burden for all RPOs. However, in order for this
approach to work, there is a need for long-term investments of time and (human) resources
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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