4 Page Pdf Sample

[Kemal Allan]

Abiographical sketch (also referred to as biosketch) documents an individual's qualifications and experience for a specific role in a project.

NIH requires submission of a biosketch for each proposed senior/key personnel and other significant contributor on a grant application. Some funding opportunities or programs may also request biosketches for additional personnel (e.g., Participating Faculty Biosketch attachment for institutional training awards).

Applicants and recipients are required to submit biosketches

NIH staff and peer reviewers utilize the biosketch to ensure that individuals included on the applications are equipped with the skills, knowledge, and resources necessary to carry out the proposed research.

NIH biosketches must conform to a specific format. Applicants and recipients can use the provided format pages to prepare their biosketch attachments or can use SciENcv , a tool used to develop and automatically format biosketches according to NIH requirements.

I have 3000+ documents that were created without adding a Student ID. The Student ID is clearly displayed on page 2 of each document so I believe that I should be able to Zone OCR it from the document, right?

I've read the documentation and it makes it sound very straightforward. I've removed all processing except for the Zone OCR under Page Processing. I've tried adding multiple sample pages but it is always the first page of the document. I've configured the Zone OCR to look at page two but I cannot get anything but page one of the document to show up as the sample. How do I get sample page two to show up as an actual page two?

Correct. Copy the page out into its own document if you're working with a document in Laserfiche. Then in Quick Fields, add a sample page for page 2 and scan this document. That will put the "formerly known as page 2" page as the sample image.

Thanks for the info Miruna! I've been building forms and workflows for a couple of years but never really had to do anything with Quick Fields until now. When I looked for this information in the documentation I could not find this spelled out anywhere.

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Note: We have chosen to include the date of access for the online sources below. The latest MLA guidelines specify that this is optional, but strongly recommended for sources whose date of publication is unavailable.

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APA style dictates that the references page should be double-spaced, and that entries should be formatted with a hanging indent. A hanging indent is formatted so that the first line of each entry is at the left margin and subsequent lines in the same entry should be indented.

For titles starting with articles ("a" and "the"; and equivalents in other languages), the article is not considered when alphabetizing. Numerals and numbers are alphabetized as though they are spelled out.

In APA style, every reference cited in your text must be reflected in an entry on your references page. The only exceptions to this rule are personal communications with the author such as e-mails, conversations, and letters which need only be cited in text. Likewise, every item on the references page must correspond to an in-text citation somewhere in your work. Do not include works that you do not cite in the body of your paper.

Under its 2003 data sharing policy, NIH expects investigators to submit a data sharing plan with requests for funding or grants, cooperative agreements, intramural research, contracts, or other funding agreements of $500,000 or more per year.

Data sharing plans should describe how an applicant will share their final research data. The specifics of the plan will vary on a case-by-case basis, depending on the type of data to be shared and how the investigator plans to share the data.

The exact content and level of detail to be included in a data sharing plan depends on the specifics of the project, such as how the investigator is planning to share data, or the size and complexity of the dataset. The examples below give a sense of what a data sharing plan can look like.

Example 1

This application requests support to collect public-use data from a survey of more than 22,000 Americans over the age of 50 every 2 years. Data products from this study will be made available without cost to researchers and analysts. User registration is required in order to access or download files. As part of the registration process, users must agree to the conditions of use governing access to the public release data, including restrictions against attempting to identify study participants, destruction of the data after analyses are completed, reporting responsibilities, restrictions on redistribution of the data to third parties, and proper acknowledgment of the data resource. Registered users will receive user support, as well as information related to errors in the data, future releases, workshops, and publication lists. The information provided to users will not be used for commercial purposes, and will not be redistributed to third parties.

Example 2

The proposed research will include data from approximately 500 subjects being screened for three bacterial sexually transmitted diseases (STDs) at an inner city STD clinic. The final dataset will include self-reported demographic and behavioral data from interviews with the subjects and laboratory data from urine specimens provided. Because the STDs being studied are reportable diseases, we will be collecting identifying information. Even though the final dataset will be stripped of identifiers prior to release for sharing, we believe that there remains the possibility of deductive disclosure of subjects with unusual characteristics. Thus, we will make the data and associated documentation available to users only under a data-sharing agreement that provides for: (1) a commitment to using the data only for research purposes and not to identify any individual participant; (2) a commitment to securing the data using appropriate computer technology; and (3) a commitment to destroying or returning the data after analyses are completed.

Example 3

The proposed research will involve a small sample (less than 20 participants) recruited from clinical facilities in the New York City area with Williams syndrome. This rare craniofacial disorder is associated with distinguishing facial features. Even with the removal of all identifiers, we believe that it would be difficult if not impossible to protect the identities of subjects given the physical characteristics of subjects, the type of clinical data (including imaging) that we will be collecting, and the relatively restricted area from which we are recruiting subjects. Therefore, we are not planning to share the data.

I agree that data will be deposited and made available through ________________ which is an NIH-funded repository, and that these data will be shared with investigators working under an institution with a Federal Wide Assurance (FWA) and could be used for secondary study purposes such as finding genes that contribute to process of XXXXXX. I agree that the names and Institutions of persons either given or denied access to the data, and the bases for such decisions, will be summarized in the annual progress report. Meta-analysis data and associated phenotypic data, along with data content, format, and organization, will be made available to investigators through ____________.

I agree to deposit genetic outcome data into ________________ repository as soon as possible but no later than within one year of the completion of the funded project period for the parent award or upon acceptance of the data for publication, or public disclosure of a submitted patent application, whichever is earlier.

I agree that I will identify where the data will be available and how to access the data in any publications and presentations that I author or co-author about these data, as well as acknowledge the repository and funding source in any publications and presentations. As I will be using ________________, which is an NIH-funded repository, this repository has policies and procedures in place that will provide data access to qualified researchers, fully consistent with NIH data sharing policies and applicable laws and regulations.

Under the 2023 Data Management and Sharing (DMS) Policy, NIH expects researchers to maximize the appropriate sharing of scientific data, taking into account factors such as legal, ethical, or technical issues that may limit the extent of data sharing and preservation.

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