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03/2013 UNCOVER is an FP7funded project under Contract No 282574 AIT DUE UNC Edgar Schiebel Brigitte Zelensky Maria Elisabeth Ger Data sources for cliometric analysis UNCOVER project deliverable D2.1
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How to fill out data sources for bibliometric

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How to fill out data sources for bibliometric:

01
Identify the relevant research topics or areas that you want to analyze using bibliometric techniques. This could be a specific field of study, a particular research group, or a specific collection of journals or conferences.
02
Start by gathering a comprehensive list of potential data sources. These can include academic databases, such as Web of Science or Scopus, institutional repositories, conference proceedings, and even social media platforms that researchers use to share their work.
03
Evaluate the quality and relevance of the data sources. Not all sources are created equal, and it's important to select ones that are accurate, up-to-date, and widely used within the research community. Look for trusted databases and reputable publishers.
04
Determine the data elements that you need to collect from each source. This could include information such as author names, publication titles, publication year, affiliations, citation counts, and keywords. Make sure to consider the specific bibliometric indicators or metrics you want to calculate.
05
Develop a systematic approach for collecting the data. This could involve manual data entry, web scraping, or using specialized bibliometric software. Depending on the size and complexity of your analysis, you may also need to develop custom scripts or workflows to automate the data collection process.
06
Regularly update and maintain your data sources. As new research is published and new data sources emerge, it's important to keep your data up-to-date to ensure accurate and reliable bibliometric analysis. Take note of any changes or updates to the data sources you are using.

Who needs data sources for bibliometric:

01
Researchers: Researchers use data sources for bibliometric analysis to measure the impact and visibility of their own work or the work of others in their field. It can help them identify influential authors, journals, or institutions, track research trends, and evaluate the impact of their publications.
02
Funding agencies: Funding agencies often use bibliometric data to make informed decisions about research funding allocations. By analyzing the publication record and citation impact of researchers or institutions, they can assess the productivity and impact of previous projects, as well as identify promising research areas.
03
Institutions and universities: Academic institutions and universities use bibliometric analysis to evaluate the research performance of their faculty members, departments, or research groups. This information can be used for strategic planning, benchmarking against other institutions, and identifying areas of research strength or potential collaboration.
04
Publishers and journal editors: Publishers and journal editors can use bibliometric data to assess the quality and impact of their journals. By analyzing citation patterns, they can identify highly cited articles, influential authors, and emerging research areas, helping them make informed decisions about manuscript selection and journal development.
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Data sources for bibliometric are databases or repositories that contain information on scholarly publications such as journals, articles, and citations.
Researchers, institutions, and organizations that want to analyze and evaluate the impact of scientific research often file data sources for bibliometric.
Data sources for bibliometric can be filled out by providing information on the sources used for collecting and analyzing bibliometric data, such as databases, search engines, and citation indexes.
The purpose of data sources for bibliometric is to provide transparency and traceability in the analysis of scientific publications, citations, and research impact.
Information reported on data sources for bibliometric typically includes the name of the database or repository, time period covered, search terms used, and any limitations or biases in the data collection process.
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