{"id":16,"date":"2019-02-16T09:20:07","date_gmt":"2019-02-16T09:20:07","guid":{"rendered":"http:\/\/socio.org.uk\/stm2019\/?page_id=16"},"modified":"2019-11-23T11:39:38","modified_gmt":"2019-11-23T11:39:38","slug":"home","status":"publish","type":"page","link":"http:\/\/socio.org.uk\/stm2019\/","title":{"rendered":"Home"},"content":{"rendered":"
Building metrics is the key to science and technology measurement and translating the measures to work better. Metric\u00a0is not confined to draw numbers and analyze. Selecting a metric depends on synthesizing multiple directions and evidence-based data. Producing benchmarks and standards in science and technology evaluation and implementing them with real data, mark the full-fledged system. Quite recently, we are witnessing the emergence of new metrics-based models aiming to reflect science and technology growth.<\/div>\n

 <\/p>\n

The proposed Science and Technology Metrics (STMet 2019) conference is concerned with how the use of many metrics may involve the assessment of different aspects of science and technology which are best expressed using different approaches. Besides the standard conference track and the Doctoral Symposium, the STMetrics will host a number of workshops and tutorials related to the theme of the conference.\u00a0 The purpose of the workshops is to provide participants with a friendly, interactive atmosphere for presenting novel ideas and discussing their application of metrics in Science and Technology System.\u00a0 The goal of the tutorials is to enable the participants to familiarise themselves with theoretical as well as practical aspects and application of metrics.<\/div>\n

 <\/p>\n

The proposed conference consists of invited talks, presentations, tutorials, workshops and discussions. The STMet has tracks on specialized topics. The STMet address the below themes, not limited.<\/div>\n

\"bullet,blue\"Citation-based metrics
\n\"bullet,blue\"Ranking Systems
\n\"bullet,blue\"Ranking of Journals, Institutions, and Countries
\n\"bullet,blue\"Discipline and Domain Analysis
\n\"bullet,blue\"Economic factors
\n\"bullet,blue\"Databases and datasets for evaluation
\n\"bullet,blue\"Evaluation Tools and Indicators
\n\"bullet,blue\"Web-based metrics
\n\"bullet,blue\"Visibility and impact
\n\"bullet,blue\"Internationalization
\n\"bullet,blue\"Text-based Metrics
\n\"bullet,blue\"Innovation indicators
\n\"bullet,blue\"Wearable Devices
\n\"bullet,blue\"Open data
\n\"bullet,blue\"Scientific Collaboration and cooperation analysis
\n\"bullet,blue\"National Evaluation Systems
\n\"bullet,blue\"Open access and open publishing
\n\"bullet,blue\"New indices for evaluation
\n\"bullet,blue\"Altmetrics
\n\"bullet,blue\"Web-based metrics
\n\"bullet,blue\"Data Science and Digital Repositories
\n\"bullet,blue\"Scientific Visualization
\n\"bullet,blue\"e-Science in the Cloud
\n\"bullet,blue\"Scientific Journalism
\n\"bullet,blue\"Scientific Publications<\/p>\n

Track 1: Open Science<\/span><\/strong>
\nScience relies on the sharing of ideas, research results, data and methods. Quiet often many
\nscientific discoveries and innovations fail to reach the society because of the closed scientific
\npublications. If Science is built based on existing knowledge it needs to reach every one and hence
\nOpen Science leads the knowledge transaction. This track addresses the challenges and issues and
\npave the way to develop and nurture open science.<\/p>\n

Track 2: Peer Review<\/strong><\/span>
\nPeer review is the process by which experts critically examine the research contributions using
\nstandard metrics. Peer review helps maintain and enhance quality both directly by detecting
\nweaknesses and errors in specific works. These reviews enable to decide publication, research
\ngrants, employment, promotion, and tenure. Peer review promotes accountability and improves
\nquality of work.<\/p>\n

Track 3: Content and Text mining based metrics<\/strong><\/span>
\nThis track enable to present works that use numeric indices to process unstructured (textual)
\ninformation, and to build various data mining (statistical and machine learning) algorithms.
\nInformation can be extracted to derive summaries for the words contained in the documents or to
\ncompute summaries for the documents based on the words contained in them. One can analyze
\nwords, clusters of words used in documents, and we could analyze documents and determine
\nsimilarities between them or how they are related to other variables. The studies of text mining will
\n“turn text into numbers” (meaningful indices), which can then be incorporated in other analyses.<\/p>\n

\n

Track 4: Technology Transfer Metrics<\/strong><\/span><\/p>\n

The technology transfer enables the outreach of the research outcomes to a wider level. The technology transfer measures are of interest to practitioners, program managers, and policymakers in the evaluation of technology transfer programs. Building metrics can lead to a better measurement of effectiveness, efficiency, and return on investment. The introduction of newer metrics will be helpful to identify the benchmarking tools. The proposed track will discuss the currently existing metrics and the research on the development of new metrics as well as their applications.<\/p>\n

Chair:<\/strong><\/span> Mohammad Hassanzadeh, Tarbiat Modares University, Iran<\/span><\/strong><\/p>\n

Track 5: Open Science Metrics<\/b><\/span><\/p>\n

The primary goal of this track is to enable to construct, identify, and specify relevant metrics and indicators for open science. Measauring the extent of openness in science and creating or using metrics is important. Measuring Open science help to realize the innovation. We can thus find how collaboration and knowledge sharing occurs and how institutions work on it. Openness also yield enormous data and knoweldge. This track gauge using available data about opennes s in science.<\/p>\n

Track\u00a0 6: Role of Unique Identifiers in Scientific Research Metrics
\n<\/strong><\/span><\/div>\n

Traditional discovery methods are insufficient in an overwhelmed high volume of researchers, institutions and research publications and data environment. Unique identifiers play a major role to distinguish people, work, institutions and optimizing their impact and discoverability. Especially in e-world, they support to reduce errors, omissions, and duplication, provide comprehensiveness of the information and make sure the digital footprints of interactions and networking across different platforms, databases and social networks are captured and preserved. Several unique identification systems are being introduced recently such as DOI, ORCID, ROR, ISNI DataCite, etc. Through this track, we propose to discuss the analysis of data or case studies of different unique identifiers and their impact in research metrics and evaluation.<\/p>\n

Co-Chairs:<\/span> J.K. Vijayakumar, King Abdullah University of Science and Technology, Saudi Arabia<\/span><\/strong><\/p>\n<\/div>\n

 <\/p>\n

All submitted papers will be reviewed by a double-blind (at least three reviewers), and participative
\npeer review. The review process will enable the selection process of those that will be accepted for
\ntheir presentation at the international conference. Authors of accepted papers who registered in
\nthe conference can have access to the evaluations and possible feedback provided by the reviewers
\nwho recommended the acceptance of their papers, so they can accordingly improve the final version
\nof their papers.<\/p>\n

Mentoring support is available to young researchers and authors of developing countries.<\/p>\n

\n

The post-conference modified versions of the papers will be published in the following journals.<\/strong><\/span><\/p>\n

1.Journal of Digital Information Management
\n2. Journal of Contemporary Eastern Asia
\n3. Special Section in Research Evaluation
\n4. Journal of Scientometric Research
\n5. Malaysian Journal of Library & Information Science
\n6. International Journal of Computational Linguistics Research
\n7. Webology<\/span><\/strong><\/p>\n

Important Dates<\/strong><\/span><\/p>\n\n\n\n\n\n\n\n\n
Full Paper Submission<\/span><\/strong><\/td>\nOctober 01, 2019<\/strong><\/span><\/td>\n<\/tr>\n
Notification of Acceptance\/Rejection<\/strong><\/span><\/td>\nOctober 25, 2019<\/strong><\/span><\/td>\n<\/tr>\n
Registration Due<\/strong><\/span><\/td>\nNovember 23, 2019<\/strong><\/span><\/td>\n<\/tr>\n
Camera Ready Due<\/strong><\/span><\/td>\nNovember 23, 2019<\/strong><\/span><\/td>\n<\/tr>\n
Workshops\/Tutorials\/Demos<\/strong><\/span><\/td>\nDecember 03, 2019<\/strong><\/span><\/td>\n<\/tr>\n
Main conference<\/strong><\/span><\/td>\nDecember 02-04, 2019<\/strong><\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Building metrics is the key to science and technology measurement and translating the measures to work better. Metric\u00a0is not confined to draw numbers and analyze. Selecting a metric depends on synthesizing multiple directions and evidence-based data. Producing benchmarks and standards in science and technology evaluation and implementing them with real data, mark the full-fledged system. … Continue reading “Home”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-16","page","type-page","status-publish","hentry","hfeed"],"_links":{"self":[{"href":"http:\/\/socio.org.uk\/stm2019\/wp-json\/wp\/v2\/pages\/16","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/socio.org.uk\/stm2019\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/socio.org.uk\/stm2019\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/socio.org.uk\/stm2019\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/socio.org.uk\/stm2019\/wp-json\/wp\/v2\/comments?post=16"}],"version-history":[{"count":33,"href":"http:\/\/socio.org.uk\/stm2019\/wp-json\/wp\/v2\/pages\/16\/revisions"}],"predecessor-version":[{"id":232,"href":"http:\/\/socio.org.uk\/stm2019\/wp-json\/wp\/v2\/pages\/16\/revisions\/232"}],"wp:attachment":[{"href":"http:\/\/socio.org.uk\/stm2019\/wp-json\/wp\/v2\/media?parent=16"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}