[Iryna Kuchma]

Dear colleagues,
We would like to invite you to our next weekly call this Thursday, 30th of
April, at 11am UTC at https://us02web.zoom.us/j/86058692856.
Draft agenda:
– Define our process for responding to suggested edits and comments to
our current drafts
– Ensuring stakeholder input – how can we verify the recommendations are
useful for researchers?
– Developing Key Recommendations around Ethics and Equity: Vulnerable
Populations; Stigma; Tracking; Indigenous Populations – and from Priyanka’s
question on Slack – has the sub-group considered how data collected from
vulnerable populations result in a more equitable response to the pandemic?
– How should we grow (and curate) the resource list?
– What do we want to release this week?
– What do we want to discuss on Tuesday at the webinar – highlight a
couple of points from our recommendations/guidelines?
– Use cases with projects and for projects? Actionable recommendations
and guidelines
– Recommendation/How to: As a legal basis for processing personal data,
we suggest…
– DMP two-page factsheet?
And our rolling minutes:
https://docs.google.com/document/d/1o8mgdjM8kpZ0BxudGdAaPSxrqXxH94YV4EHZ….
Thank you,
Best wishes,
Amy, Ingrid and Iryna

Discussion

[Claudia Bauzer Medeiros]

Dear Iryna and Amy, dear all
My two cents worth to your list, trying to optimize the meeting on Thursday:
a) DMP fact sheet is good low-hanging fruit, but not very useful.
It can be essentially based on the excellent recommendations of Science Europe
https://www.scienceeurope.org/our-resources/practical-guide-to-the-inter…
The only interesting “fact”: the main difference between DMP guidance in most US
institutions and the European templates (by looking at corresponding dmptool
platforms) is that the European model has questions about data management during a
project, whereas in the US they are mostly interested in the “after”.
b) I noticed that the Clinical subgroup this morning in their decision tree
indicated “demographic” data is needed. The Epidemiology subgroup is investigating
which data/information need to be collected as part of epidemiology studies
–> obviously, both need social sciences data (and I dont think demographic data is
enough). How to leverage social sciences data (and which data to leverage) so that
researchers in these groups can take advantage of it? And, vice versa, how would
social sciences research profit from clinical and epidemiological data?
In this sense, good case studies would be great, in particular if they showed this
mutual leveraging.
c) legal basis for processing personal data will depend on local legislations – and
in Europe their local implementations of GDPR, which vary from country to country.
Barring recommending awareness of GDPR, is there anything else that can be done? Or
pointing out the existence of GDPR to non-european researchers?
Claudia

[Iryna Kuchma]

Thanks a lot Claudia, this is very helpful! Amy asked earlier today how do
we balance using our time to make our recommendations more targeted on
COVID versus delving deeper into certain sub-areas (sub-areas seem to have
least priority).
I agree with your comments, about DMP and I was going to suggest to drop it
for now. But then Kheeran emailed us the following comments:
– 8.2.1: I agree with the need for DMP, but I’m not sure if it is always
practical for everyone to do all the time. We want to lower the barriers
for people doing this work, not increase it. So I wonder if it would be
useful to provide a basic DMP template with relevant COVID-19 related
metadata already populated that someone could simply pickup and use if they
don’t have one handy already?
– 8.2.1.3 requests researchers to register their DMP. We should provide
guidance on our recommendations on where they could register it at.
– 8.2.2.3 asks researchers to be mindful of commonly accepted codes and
norms. Could we list these professional codes and norms out or point them
to where they could find them?
And I fully agree that these are great questions: How to leverage social
sciences data (and which data to leverage) so that researchers in these
groups can take advantage of it? And, vice versa, how would social sciences
research profit from clinical and epidemiological data? We could have a
call for use cases (I am not sure there are good case studies already). And
perhaps this is also something we could flag at the next webinar on
Tuesday.
Also adding your comment about the legal basis for processing personal data
to the minutes.
Thanks again!
Best wishes,
Iryna
On Tue, 28 Apr 2020 at 17:41, Claudia Bauzer Medeiros
wrote:

[Claudia Bauzer Medeiros]

Hi Iryna, and thanks to Kheeran
DMPs do not need to be very complex, but I firmly believe in their importance as
part of good practices in designing a project. Anyone should plan what to do with
their data, and how to manage them, as a very important part of any research (COVID
or not). And statistics show that people will think about that only after the
project is over.
Writing a DMP will increase the work, but save work in the medium and long run (if
you do something quick and dirty, you are fated to redo it over and over). Perhaps
he is thinking about formal templates that often have up to 40 questions, and may
take up to 1 day to write.
NIH has a very good example of a 10-line DMP on clinical data which is used as an
example in their site.
I cannot see how we can provide a template, unless it is very generic. And for this
we have zillions of examples in dmptool.
I believe that what he calls a template with “previously filled metadata” is
something similar to actionable DMPs which not only follow your project along its
course, but auto-fill lots of fields based on how the project develops.
8.2.1.3 – We can suggest that people can register plans at dmptool or similar
and I have no idea about where to look for these norms and codes…

[Iryna Kuchma]

Thanks Claudia, I agree with you about DMPs. I was also thinking that we
could have something short, re-using DMP templates for PhD students, e.g.
this one:
https://library.bath.ac.uk/research-data/data-management-plans/universit…,
see below:
Gathering data
Description of the data
– Types of data
– Format and scale of the data
– Data collection methods
– Development of original software (if relevant)
Working with data
– Short- and medium-term data storage arrangements
– Control of access to data and sharing with collaborators
– File organisation and version control
– Documentation that will accompany the data
Archiving data
– Selection of data to be retained and deleted at the end of the project
– Data preservation strategy and retention period
Sharing data
– Justification for any restrictions on data sharing
– Arrangements for data sharing
Implementation
– Review of the Data Management Plan
– Special resources required for the project
– Further training needs
Best wishes,
Iryna
On Tue, 28 Apr 2020 at 23:49, Claudia Bauzer Medeiros
wrote:

[Simon Parker]

Hello both,
The UK Data Service also provides a great deal of practical information in the ‘Manage Data’ section of their website.
https://www.ukdataservice.ac.uk/manage-data.aspx
Kind regards,
Simon
From: ***@***.***-groups.org
Sent: 29 April 2020 08:28
To: Claudia Bauzer Medeiros ; RDA-COVID19-Social-Sciences
Subject: Re: [rda-covid19-socialsciences] Our next weekly call this Thursday, Apr 30 at 11am UTC
Thanks Claudia, I agree with you about DMPs. I was also thinking that we could have something short, re-using DMP templates for PhD students, e.g. this one: https://library.bath.ac.uk/research-data/data-management-plans/universit…, see below:
Gathering data
Description of the data
* Types of data
* Format and scale of the data
* Data collection methods
* Development of original software (if relevant)
Working with data
* Short- and medium-term data storage arrangements
* Control of access to data and sharing with collaborators
* File organisation and version control
* Documentation that will accompany the data
Archiving data
* Selection of data to be retained and deleted at the end of the project
* Data preservation strategy and retention period
Sharing data
* Justification for any restrictions on data sharing
* Arrangements for data sharing
Implementation
* Review of the Data Management Plan
* Special resources required for the project
* Further training needs
Best wishes,
Iryna
On Tue, 28 Apr 2020 at 23:49, Claudia Bauzer Medeiros wrote:
Hi Iryna, and thanks to Kheeran
DMPs do not need to be very complex, but I firmly believe in their importance as
part of good practices in designing a project. Anyone should plan what to do with
their data, and how to manage them, as a very important part of any research (COVID
or not). And statistics show that people will think about that only after the
project is over.
Writing a DMP will increase the work, but save work in the medium and long run (if
you do something quick and dirty, you are fated to redo it over and over). Perhaps
he is thinking about formal templates that often have up to 40 questions, and may
take up to 1 day to write.
NIH has a very good example of a 10-line DMP on clinical data which is used as an
example in their site.
I cannot see how we can provide a template, unless it is very generic. And for this
we have zillions of examples in dmptool.
I believe that what he calls a template with “previously filled metadata” is
something similar to actionable DMPs which not only follow your project along its
course, but auto-fill lots of fields based on how the project develops.
8.2.1.3 – We can suggest that people can register plans at dmptool or similar
and I have no idea about where to look for these norms and codes…

[Author]

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