Importing Records: RIS, CSV & BibTeX | HubMeta Tutorial #5 — Transcript

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1. 0:14Welcome back. Now that we have
2. 0:16downloaded the libraries of articles
3. 0:19into an RIS format or we might have them
4. 0:23in a CSV file or a BibTeX or some other
5. 0:26format, it is time to input them into
6. 0:30HubMed.
7. 0:32How we do it is we go to pull and use
8. 0:35the import function. Do not use onboard
9. 0:39here. The onboard is something else.
10. 0:42We use the import function
11. 0:45to upload articles into HubMed. We do
12. 0:47not upload one by one because in
13. 0:50systematic review it doesn't really make
14. 0:52sense to to
15. 0:55drag and drop PDFs one by one. We are
16. 0:58talking about a bulk operation here. So
17. 1:01we want libraries with hundreds,
18. 1:04sometimes thousands of
19. 1:06articles in them. In the previous video,
20. 1:09I showed you how we downloaded from Web
21. 1:12of Science, from Scopus, and now we want
22. 1:15to upload those files into HubMed. I
23. 1:18will click on upload and then we need to
24. 1:21locate our RIS files. I will open this.
25. 1:26The numbers that you will see are going
26. 1:28to be a little bit different because the
27. 1:30search I did at the time was indeed
28. 1:33different. I will upload my Scopus and
29. 1:36Web of Science files. So each of them is
30. 1:39here. Or you might have your files in a
31. 1:42CSV file. HubMed can also process your
32. 1:45CSV files. I will use an example here.
33. 1:48In this one, when you upload a CSV file,
34. 1:52it will ask you to identify the columns.
35. 1:56It will automatically try to make a good
36. 1:59guess. Like you see for example, in my
37. 2:02CSV file, the column was named
38. 2:05publication year. So we map that to
39. 2:07year. And then for author, we map it to
40. 2:11authors here. Title map to title and you
41. 2:15get the idea. So here publication title
42. 2:18is not mapped. It's very important that
43. 2:20I manually map it to journal. So
44. 2:23obviously I can see that this is the
45. 2:25name of the journal. Then the rest of it
46. 2:27is DOI mapped to DOI, which is also very
47. 2:31important. And then pages. And if you
48. 2:35want other stuff like for example,
49. 2:38volume and issue. Like issue was not
50. 2:41detected. So you have to do a little bit
51. 2:43of manual work here just so everything
52. 2:47works perfectly. And then you confirm
53. 2:50and import. So this one
54. 2:53only had like eight example articles in
55. 2:56that. So they are also added. One thing
56. 2:59to have in mind is that it's a very good
57. 3:02idea to record the actual keywords that
58. 3:05were used in conducting your research.
59. 3:08Like for example, I will go to my Web of
60. 3:10Science and copy the keywords I used to
61. 3:14do the search and then paste it here
62. 3:17just to keep it. And then in the source,
63. 3:19I will say this one is coming from Web
64. 3:21of Science. The date is of course, you
65. 3:24know, today.
66. 3:25These are very important later on if you
67. 3:28want to update your project or when you
68. 3:30want to report them. So these are very
69. 3:33important to keep a clean track of when
70. 3:36you're uploading. When it comes here,
71. 3:38you can see that it reads the number of
72. 3:41articles in each of them. 16,000 in one,
73. 3:4413,000 in another. Like I said, I used
74. 3:47broader search keywords in my actual
75. 3:49project
76. 3:51compared to that example. Now, the
77. 3:54question that you might have here is
78. 3:57that hmm, we used the same
79. 4:01keywords and searched in multiple
80. 4:04different databases.
81. 4:06Isn't this repetitive? Aren't we Aren't
82. 4:09we creating duplicates here? Of course
83. 4:12we are. They are Each of them might have
84. 4:14some new ones, but a whole lot of it is
85. 4:17actually shared because the body of
86. 4:19science has not changed. What we are
87. 4:21doing is using the same keywords in
88. 4:24multiple databases. So, of course we
89. 4:26have created duplicates. So, the next
90. 4:28natural step for that is going to be
91. 4:31removing duplicates, which [music] we
92. 4:32will get to in the next video.
93. 4:39>> [music]