LibGuides: Data Management for Wits: Guidance: On Applying for grants: funding proposal and data managment plans

What does this mean for your research?

Sharing data and doing data management is not cheap or easy.SO PUT IT IN YOUR GRANT

Many researchers are worried about sharing data and doing data management. This is because its undoubtedly a time consuming and expensive task. In most research projects, its a task that is already being done, often by a combination of administrative staff, PhD. or Master's students and the PI. It's not always central to the research and it can feel like a burden. This is a burden that the e-research office was designed to help alleviate. If you include the office in your grant at the application stage we will help you write a justification for data management.

We suggest that if your funder wants data shared and managed then they have to be prepared for that to appear in the funding proposal. We suggest that many funders are open to seeing money and time go towards this function. The first thing to say is that data management is a full-time job. If you have a large project, this is not something a PhD. student should be doing on the side. A research data manager will make your life infinitely easier.There are not a lot of people in South Africa specifically qualified in this field but luckily Wits is one of the few places that does offer these degrees.We also train data scientists and digital Arts researchers.

If your grant will not allow for this, then you can put it in as a consultation with statistician and informatics specialists. .It's especially important to budget for software, time to learn software and storage. As far as cleaning data goes and also data preservation, the library can offer services. However, we need to approve this in a data management plan so we can assure your funder that the resources are available and will be available for the term of the grant.

It also important to note that data can be published by itself and that you can get a grant for work that you do in improving methodologies and data management techniques and click here.Click here!

Rigor and Reproducibility in NIH Applications Rigor and Reproducibility in NIH Applications: Resource Chart

Why do data planning:I have a research proposal already

Data plans can help you:

Describe how data will be managed methodologically to ensure the validity.
Support scientific exchange and transparency by helping you share your data in ways that safe and ethical.
Provide evidence for the research accompanying your published results or thesis.

These are all funder requirements. They also help manage the possible IP and ethics problems by preempting issues before the projects start.

Example of Data Mangment Plans that funding agencies approved

Data Management Plan Digital Narrative This digital humanities prototype will serve the creation ,access , and dissemination of three types of context related to the pathways to freedom learning community; oral histories, archival documents, and interactive maps.
Data management plan Expected data This project will collect survey data from directors of university press. We will gather this and use it to produce a report a report with recommendations related the following issues; managing overhead costs related to peer review , using digital technologies to facilitate timely scholarly communication, formalizing the peer review process to increase credibility ,publicizing peer review discussions related to electronic monographs, how to distinguish pre from post peer review.
Data Management plan for the start-up Data management plan for the start-up phase of annotation studio
Data Management Plans From Successful Grant Applications (2011-2014) Beginning in 2011, the NEH Office of Digital Humanities (ODH) began requiring a Data Management Plan (DMP) for the majority of its grant programs. In the past year, NEH has received a number of Freedom of Information Act (FOIA) requests to view some or all of the DMPs submitted as a component of successful grant applications since 2011. Due to the high level of interest from scholars and the general public in the DMPs submitted, NEH has bundled the plans in a zip file and is making them available for download via the NEH FOIA Library: http://www.neh.gov/about/foia/library
Data Management plan The scholar's Dashboard The Ohio LINK Digital Resources Commons(DRC) is a state-wide digital repository that seeks to enhance the scholarly communication of our academic communities in a secure environment. The first digital items were added to the DRC IN 22007 and collections have building since that time.
Data Management plan types Data and metadata standards Whenever possible, we will use standard, widely used file formats for storing the data and metadata produced throughout the course of the project. We plan to use MPEG-4 or WebMD open source codecs for storing digital video, Word documents and Adobe Portable Document format PDF.
Data Management with Risk Management The ARCS project will be housed and managed at Michigan stage University's Matrix: The Centre for Digital humanities and Social Sciences. MATRIX is an internationally recognized and respected digital humanities with a long track record of robust, complex, and data intensive digital repository, library and archive projects.

What Are Digital Object Identifiers

A DOi looks like this https://doi.org/10.23962/10539/21758

The first part, the 10. is the prefix; it the assigning organization. The secondary section refers to the journal, repository or university issuing the DOI, the last is unique to an item.

These are DOI that are strings of text which always( well almost always) go back to the right pages. They are registered with DOI.org and a lot of librarians put a lot of effort into ensuring that when you click that identifier will always take you to that dataset.Technically they are:

persistent interpretable identifiers.
What that means is the link don't die or get broken and that they will work anywhere.
We have them together with a license to make sure that when a data set is used it is CITED.
Please don't forget to cite the software the data is in along with the dataset itself.

Links

Follow the links below to access data management plan resources at other institutions:

Data plan guidance and examples

Take a close look at the Welcome Trust guidelines for those who are applying to UK agencies.