Category: training

Come learn with us, part 3

In week 3 we looked at Data Management Plans (DMPs), existing services, and asked you to reflect on example DMP services and advice. 
 
“I also agree with some comments that in most (not all) projects the DMP at inception cannot be as detailed as it needs to be because there are too many unknowns.  This would mean that part of the original DMP should be a commitment to appropriate updates at intervals during the project. It might be wise to date the updates in advance”. Lesley Mostert
 
We examined ways to develop your own DMP webpages, and got lots of great input from learners! We are glad to see that many of you are inspired to engage with your institutions on implementing similar practices. 
 
“I was impressed by LSE and Utrecht website on DMP. Both are very clear on their here, now and future aspects of the data”. Lucy N. 
 
“As many have already mentioned, what I really like about the University of Wisconsin-Madison page is that it really makes getting in touch with the Research Data Services a no brainer. There’s just enough info, and many incentives to contact them”. Eve Paquette-Bigras
 
“Our organisation doesn’t have a RDM support page. I would advise our organisation to make a website, that just for RDM (like Utrecht and Bath) and not a website where other library services (such as bookservices and information literacy courses) are offered, together with RDM. Researchers are the ones most visiting your website to get information, so make sure they can find the information they need easily by infrastructure and content (Bath). You can use open information from other universities as well (CC BY) on your website. Graphical appearance should be taken into account”. Ingrid van Gorkum
 
We also looked at ways to develop your own RDM training, and asked learners to share dos and don’ts from their experiences with running training sessions. Many of you have provided excellent ideas and feedback, and we are glad to see that the resources on the MOOC are useful. 
 
“To start with thank you for these resources. I love how MANTRA is so well structured and detailed. Lots of information to find and use. I also found the NECDMC good to use, the resources in their modules section are really good and i think i would easily work with them.”  Abel M’kulama

Come learn with us, part 2

 

Image: MOOC tutors. From left to right: Sarah Jones, Rene van Horik, Alexandra Delipalta, S. Venkat, Ellen Verbakel.
 
In the second week of the Delivering Research Data Management Services we focused on “Finding the gap” in yo…

Come learn with us!

Image: MOOC tutors. From left to right: Sarah Jones, Rene van Horik, Alexandra Delipalta, S. Venkat, Ellen Verbakel.
 
Just over a week in and we all continue to be overwhelmed by responses to our new MOOC* on Delivering Research Data Management Services. We have over 1400 learners from 116 countries and they have been very active in the discussion forum. Literally hundreds of comments and questions – and such insightful responses.
 
Ellen and Sarah moderated the first week of the MOOC and have been inspired to do more online teaching as a result. This week you have Rene, Sarah and Ellen answering your questions. In the first week we learnt about the basics of RDM services, the data lifecycle and making the case for support. Participants watched various videos and read case studies, then reflected on the priorities at their own institution. Forum comments show that participants found the inputs from people we interviewed useful:
 
I agree with Gavin that ‘well managed data leads to higher quality research’.
Dorothy Byatt
 
I liked the summary by Tanita Casci (Head of Research Policy at the University of Glasgow) of what good research is like: “Good research is research that is well-planned, well-executed, well-documented, and widely shared.” 
Philipp Conzett
 
Data Management Planning and data stewardship were key discussion points. Many funders and organisations worldwide are encouraging DMPs but there are concerns about ensuring requirements are realistic and support researchers’ practices. The data stewardship approach at Delft also raised a lot of discussion. People appreciated their emphasis on open science and found the model a great way to bridge between the various services available in the institutions, as well as between data services and research communities.
 
The discussion on the stakeholders provided us with lots of insights from the institutions you all work in. The overall conclusion was that there is often a lack of engagement from senior management. Many people wanted to raise awareness, especially amongst researchers. Services could also be unconnected across the institution so support staff wanted to join up provision to offer a coordinated set of RDM services.
 
We have a few learners from a research background too. Our course is aimed specifically at those delivering RDM services. Some lessons will be transferable to other contexts, but those wanting to learn how to manage and share data should check out parallel courses such as those noted below:
 
Our MOOC runs until 14th October and will run again later in the year or early 2020. Find out more at: https://www.futurelearn.com/courses/delivering-research-data-management-services
 
* A MOOC is a Massive Open Online Course. Our MOOC is available on the FutureLearn platform and is free to all.
 

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