Fill in a Spreadsheet with Data

Этот проект был успешно выполнен bhaveshghodasara за $15 USD за день.

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Бюджет проекта
$10 - $30 USD
Выполнено за
1 день
Всего заявок
Описание проекта


I have a Dropbox folder containing scientific and medical articles, mostly in PDF file format. I need the articles' meta-data and information to be extracted from each article and entered in an excel spreadsheet.

* Dropbox Folder Information:

The total number of files is 157, organized within multiple in subfolders.

The total size of all files in the Dropbox folder is around 340 MB.

Some articles are rasterized image PDFs.

The link to the dropbox folder will be shared with the winning bidder.

* Expected Deliverable:

Excel spreadsheets, in XLS and CSV format (double quoted & comma delimited rows), with a total of 157 data rows.

Each row is expected to contain metadata of an individual file entry of the aforementioned dropbox folder.

The meta-data for each file to be extracted:

- Relative file path and name (e.g: "[url removed, login to view]" or "subfolder/[url removed, login to view]"). The root directory being the dropbox folder.

- Full Article Name

- Authors

- Full Publication/Journal Name*

- Page range in publication

- Publication Date (Month, Year)*

- DOI (if any)

To make sure bidders have properly read the instructions before placing their bid, please post the term genometrics in the first line of your message. Bids not containing this term in their opening message will be dismissed.

An example of a row within the final deliverable CSV file would look something like this:

""subfolder1/[url removed, login to view]"",""Genomic Findings in the 21st Century"",""John Smith, Jane Doe, Joe Albine"",""The International Journal of Genometrics"",""33:35"",""October, 2016"",""DOI: [url removed, login to view]""

*: mostly all article files contain this information, if not this must be checked against online databases like Pubmed, Google Scholar or others.

This posting will serve as a test to the winning bidder pending further collaboration on larger projects. Expected delivery is 24 hours upon bid acceptance.




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