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|M1. Data Collection||M2. Analysis||M3. Communication|
Before communicating your analysis results, please pay attention to the following caveats.
- Data coverage is never perfect. Be careful with the biases introduced during data collection phase.
- Maps are result of projecting data into 2 or 3 dimensions. Thus, the real distance between elements might be different from what you see in visualizations.
A picture is worth a thousand words! You can use various visualizations to convey your message. For instance, you can include state-of-the-art figures in your Presentations, you can add the annual distribution of publications to your Papers, or you can add a list of top authors or top institutions to your internal reports.
The software tools we introduced above for Data Analysis can generate various maps for you. You can easily add these maps to your slides:
- Term Maps
- Co-authorship Maps
- Citation Maps
- Bibliographic Coupling Maps
- Co-citation Maps
The visualizations that you can add to your papers varies based on type of paper you’re writing and the journal/conference you’re submitting to. As a source of inspiration use the examples listed below.
Annual Distribution of Publications – See Figure 1 in “What is an emerging technology?“
Basic Statistics – See figures and tables in “State of the art in simulation-based optimisation for maintenance systems“
Word Clouds – check this interesting comment on “The evolution of Biomaterials Research“
Term Map (disciplinary composition) – See Figures 1 and 2 in “Global maps of science based on the new Web-of-Science categories“
Co-authorship Maps (Country Level)- See Figure 3 in “International Collaboration in Science: The Global Map and the Network“
Citation Networks – See Figures 2, 3 and 4 in “Searching for intellectual turning points: Progressive knowledge domain visualization“
When you’re collecting data and analysing it, it’s very important to document your work. Some of the details we recommend you to document are listed below.
- The date you’ve collected your data
- The location you’re storing your files
- The source you’ve collected data from
- The keyword(s) you’ve searched for and filters you’ve applied
- The basic statistics (e.g., number of records, top authors, top countries, top sources and top organizations)
- Annual distribution of publications
- The Term map corresponding to your search results and the key terms in each cluster
- The Co-authorship map corresponding to your search results and the key authors in each cluster
- The Citation map corresponding to your search results and the key papers in each cluster
- Find the trendy/unfashionable terms in your search results.
Except from the last item above that is still difficult to do with existing tools, the rest you can easily generate with available Data Analysis tools the we introduced here.
To document your analysis, we’ve prepared a template MS Word file for you:
Download the Data Collection and Exploration template.
To get an idea on how this internal report can look like, check the following examples.
Download Internal Report on “Geopolymer Concrete“
if you need more help with Communication of your results please contact us.