# data[].attributes.body
Newcastle: relatively early stage of formulating library metrics offer

# data[].attributes.headline
MMU: research office doing more with metrics/REF.  Research office says they are 'dealing with it' but then not entirely up to speed with what is going on! 

# data[].attributes.subject
MMU: research office doing more with metrics/REF.  Research office says they are 'dealing with it' but then not entirely up to speed with what is going on! 

# data[].attributes.body
Training already embedded in PGR programmes (assessed modules) - metrics less apt for computing due to conference papers. Currently flag issues with metrics but not strong focus on responsible metrics.

# data[].attributes.headline
Metrics seems like a good route into talking with academics more widely about how/where they publish and getting engagement around the publishing process. 

# data[].attributes.subject
Metrics seems like a good route into talking with academics more widely about how/where they publish and getting engagement around the publishing process. 

# data[].attributes.headline
LivTropMedicine: way to identify potential case studies Using something like Altmetrics could potentially be ahead of the curve

# data[].attributes.subject
LivTropMedicine: way to identify potential case studies Using something like Altmetrics could potentially be ahead of the curve

# data[].attributes.body
Need direction of travel set from leadership before we commit to an approach

# data[].attributes.body
Research office are looking at metrics (have SciVal) and have impact officer. Lots of staff change. Teaching Scopus/WoS - generally an individual approach depending on the researcher

# data[].attributes.headline
Possible to use the freebie Almetrics in eprints to track some articles/delve in and look at usage

# data[].attributes.subject
Possible to use the freebie Almetrics in eprints to track some articles/delve in and look at usage

# data[].attributes.body
Only goes to a certain level-can take you part of the way. If a smaller institution might be easier to locate

# data[].attributes.headline
Manchester - My Research essentials. Range of subjects. Have interactive presentations on their web pages - individual but also offer the same content as a workshop 

# data[].attributes.subject
Manchester - My Research essentials. Range of subjects. Have interactive presentations on their web pages - individual but also offer the same content as a workshop 

# data[].attributes.body
People in very niche areas - even if broader discipline uses metrics a lot
Arts/humanities

# data[].attributes.body
Altmetrics can be a good solution

# data[].attributes.headline
Library might have access to information that research office might not even know about-need to raise awareness but also be ready with no people

# data[].attributes.subject
Library might have access to information that research office might not even know about-need to raise awareness but also be ready with no people

# data[].attributes.body
Researchers can be very savvy about where to target their work for max. reach. Researchers in niche areas are often most tuned in to these alt channels. Mid-career researchers are particularly tuned in and interested - most ready to engage the Library. PGRs are open to it too.

# data[].attributes.headline
Manchester - publisher sessions - all branded as My Research Esssentials

# data[].attributes.subject
Manchester - publisher sessions - all branded as My Research Esssentials

# data[].attributes.headline
Library often knows about good tools to use-need to be listened to at the beginning

# data[].attributes.subject
Library often knows about good tools to use-need to be listened to at the beginning

# data[].attributes.headline
Cumbria - sessions on bibliometrics. REfworks, e-resources. 3 campuses so run sessions at each one. Aimed at PhDs but anyone can attend

# data[].attributes.subject
Cumbria - sessions on bibliometrics. REfworks, e-resources. 3 campuses so run sessions at each one. Aimed at PhDs but anyone can attend

# data[].attributes.body
Part of Grad school programme

# data[].attributes.body
Have recently bought in to Altmetric.

# data[].attributes.headline
Targeting the right people in the organisation-and understand why you are targeting them and what you are going to get out of those people

# data[].attributes.subject
Targeting the right people in the organisation-and understand why you are targeting them and what you are going to get out of those people

# data[].attributes.headline
Sometimes need to understand why some roles sit with certain departments and capitalise on those relationships

# data[].attributes.subject
Sometimes need to understand why some roles sit with certain departments and capitalise on those relationships

# data[].attributes.headline
Too many working groups! Try and get on them but also knowing who to go to.  Which are the important ones and which people are on them. 

# data[].attributes.subject
Too many working groups! Try and get on them but also knowing who to go to.  Which are the important ones and which people are on them. 

# data[].attributes.headline
Edge Hill - REF compliance. Intro to data, metrics. 1 to 1s work really well. Have a range of things to catch as many people as you can.

# data[].attributes.subject
Edge Hill - REF compliance. Intro to data, metrics. 1 to 1s work really well. Have a range of things to catch as many people as you can.

# data[].attributes.body
work with research office - part of their programme

# data[].attributes.headline
Great idea, but the devil's in the detail.

# data[].attributes.subject
Great idea, but the devil's in the detail.

# data[].attributes.headline
If it works widely, less research active institutions stand to benefit most, but it needs research-intensives to take the first step.

# data[].attributes.subject
If it works widely, less research active institutions stand to benefit most, but it needs research-intensives to take the first step.

# data[].attributes.headline
Knowing that the REF is going to be selective about which metric sources, should we steer academics away/towards certain metrics

# data[].attributes.subject
Knowing that the REF is going to be selective about which metric sources, should we steer academics away/towards certain metrics

# data[].attributes.body
Get out there and share/engage/train. Get face known re metrics with senior researchers. Embed metrics conversations within essential workflow elements (eg APC applications).

# data[].attributes.headline
Publishers are now trying to play off academics against librarians.

# data[].attributes.subject
Publishers are now trying to play off academics against librarians.

# data[].attributes.body
Citations/altmetric can be negative - need to be cautious and filter

# data[].attributes.headline
Provides an opportunity to look at often confused/confusing messages on who owns what in terms of intellectual property.

# data[].attributes.subject
Provides an opportunity to look at often confused/confusing messages on who owns what in terms of intellectual property.

# data[].attributes.body
Give it time - repeat your messages - get researchers to think it's their idea
Get it right for the PGRs - invest in the new generation
be prepared to go desk to desk, or fell the bull elephant!

# data[].attributes.body
Newcastle: librarians have less direct conversations about OA and REF because they are targeted by those that go out and do advocacy.

# data[].attributes.headline
There could also be conflicts between the institution's rights to re-use material created by staff for commercial partners (e.g. broadcasters). Need to ensure people are aware, though, because the licence only applies to journal articles and conference proceedings.

# data[].attributes.subject
There could also be conflicts between the institution's rights to re-use material created by staff for commercial partners (e.g. broadcasters). Need to ensure people are aware, though, because the licence only applies to journal articles and conference proceedings.

# data[].attributes.body
Metrics are not innocuous - it's about how well read your work is. It's sensitive.

# data[].attributes.headline
Easier at a smaller institution-can get compliance and talk to people a lot quicker/easier.  Know that in research committees the yre interested in metrics

# data[].attributes.subject
Easier at a smaller institution-can get compliance and talk to people a lot quicker/easier.  Know that in research committees the yre interested in metrics

# data[].attributes.headline
Before metrics they are thinking about publications/creating the output and creating the impact.  Start planning that much easier.  Doing a mock impact

# data[].attributes.subject
Before metrics they are thinking about publications/creating the output and creating the impact.  Start planning that much easier.  Doing a mock impact

# data[].attributes.body
Plum is better on book holdings
Amazon reviews

# data[].attributes.headline
Gives some academics a realisation of what they do/don't have and how to change/be ready for the next assessment

# data[].attributes.subject
Gives some academics a realisation of what they do/don't have and how to change/be ready for the next assessment

# data[].attributes.headline
Need to upskill researchers to understand the publishing process-where they publish/what it means, etc. They write it and then it's doine but need to understand what happens next

# data[].attributes.subject
Need to upskill researchers to understand the publishing process-where they publish/what it means, etc. They write it and then it's doine but need to understand what happens next

# data[].attributes.body
Libraries can tell Scopus to index something
We have power!

# data[].attributes.headline
Using eprints plugin to find some almetrics data (potentially?)

# data[].attributes.subject
Using eprints plugin to find some almetrics data (potentially?)

# data[].attributes.body
Start from the other end: which audiences do you want to reach and design metrics that will allow you to measure this. Educate in research measurement - that's your intervention and metrics then is just part of that broader partnership.
Listen, pay attention, encourage debate and be involved - learn from each other.

# data[].attributes.headline
Liverpool - do libraries know enough about the publishing industry to deliver sessions on publishing

# data[].attributes.subject
Liverpool - do libraries know enough about the publishing industry to deliver sessions on publishing

# data[].attributes.headline
Like Scott's idea to send out confirmation of receipt email but also to like 'make it pretty' so it's easy for people to digest and less of a chore

# data[].attributes.subject
Like Scott's idea to send out confirmation of receipt email but also to like 'make it pretty' so it's easy for people to digest and less of a chore

# data[].attributes.body
Altmetric is considered by some to not be appropriate itself
University KPI can be a game-changer - empowering for Library
Recognise where they are more or less useful and that they are only one measure amongst many.
But don't be afraid to be bold and argue the case especially where responsible metrics are involved, whether leaders are behind you or not.
Institution signing up to DORA or other resp metrics statement is helpful.

# data[].attributes.headline
Edge Hill - talk to editors for tips and build a session around publisher using that information 

# data[].attributes.subject
Edge Hill - talk to editors for tips and build a session around publisher using that information 

# data[].attributes.body
so we can ensure we are in charge of the content.

# data[].attributes.body
Raise, encourage, inform debate re specific measures, e.g. H-index

# data[].attributes.headline
Do a monthly newsletter put in top ten downloaded articles/each dept. how many articles deposited/citations/how many OA

# data[].attributes.subject
Do a monthly newsletter put in top ten downloaded articles/each dept. how many articles deposited/citations/how many OA

# data[].attributes.headline
Use easy ways to get information across easily about work that has been done.  Get  your message across. 

# data[].attributes.subject
Use easy ways to get information across easily about work that has been done.  Get  your message across. 

# data[].attributes.headline
Liverpool - Liv uni press - getting someone from there to talk about publishing. Advocacy around open access

# data[].attributes.subject
Liverpool - Liv uni press - getting someone from there to talk about publishing. Advocacy around open access

# data[].attributes.headline
Uni of Chester - starting looking at metrics as something to offer for PGRs as part of a programme. working with Study Skills team. Quite new to this

# data[].attributes.subject
Uni of Chester - starting looking at metrics as something to offer for PGRs as part of a programme. working with Study Skills team. Quite new to this

# data[].attributes.headline
Take things off of other departments for easy wins-tasks that you can do and raise your own profile

# data[].attributes.subject
Take things off of other departments for easy wins-tasks that you can do and raise your own profile

# data[].attributes.body
Focus on the objective and the impact, rather than the measure for the measure's sake

# data[].attributes.body
Metrics may be considered inappropriate based on false assumptions/premises. It's our responsibility to say no to inappropriate requests, but strategic buy-in is important to back us up.

# data[].attributes.headline
Have to be careful to make sure that you are adequately resourced. 

# data[].attributes.subject
Have to be careful to make sure that you are adequately resourced. 

# data[].attributes.headline
Leeds Beckett - altmetrrics training, deal with repository and Symplectic so altmetrics is linked with this. Metrics sits more with Academic liaison rather that then research services team. 

# data[].attributes.subject
Leeds Beckett - altmetrrics training, deal with repository and Symplectic so altmetrics is linked with this. Metrics sits more with Academic liaison rather that then research services team. 

# data[].attributes.headline
Align yourself to new members of staff and get them on-board

# data[].attributes.subject
Align yourself to new members of staff and get them on-board

# data[].attributes.body
Are we doing the right thing for the funders' requirements

# data[].attributes.body
We are responsible for highlighting limitations of datasets - Google Scholar is 'promiscuous' (ST). It's ok as long as you measure like against like, i.e. if using GS, use it for everyone.
Emphasise Snowball Metrics rather  than publisher owned.
Use established, community-built metrics, use consistently.
Investigate Publish or Perish - has potential and great help guides.

# data[].attributes.headline
Pint of science-talks in pubs and go along to speak to other people

# data[].attributes.subject
Pint of science-talks in pubs and go along to speak to other people

# data[].attributes.headline
Liverpool - have Altmetrics but not sure how to get people to engage with it

# data[].attributes.subject
Liverpool - have Altmetrics but not sure how to get people to engage with it

# data[].attributes.headline
People have to sign up for an ORCiD straightaway

# data[].attributes.subject
People have to sign up for an ORCiD straightaway

# data[].attributes.headline
Manchester-doing some but would like to do a lot more.  Put into strategy and namechecked the next REF within that. 

# data[].attributes.subject
Manchester-doing some but would like to do a lot more.  Put into strategy and namechecked the next REF within that. 

# data[].attributes.headline
As the whole point of UKSCL is to cut the Gordian Knot of multiple policies, surely implementation itself should be straightforward.

# data[].attributes.subject
As the whole point of UKSCL is to cut the Gordian Knot of multiple policies, surely implementation itself should be straightforward.

# data[].attributes.body
For promotion? Can drive poor practice if people are driven by the metrics
Does bias (conscious or unconscious) mean that JIFs in fact do influence quality evaluations even when REF says they won't?

# data[].attributes.headline
A measure not a driver - tail mustn't wag the dog

# data[].attributes.subject
A measure not a driver - tail mustn't wag the dog

# data[].attributes.headline
Publishers likely more concerned in UK than elsewhere because of our strong funder mandates for open access

# data[].attributes.subject
Publishers likely more concerned in UK than elsewhere because of our strong funder mandates for open access

# data[].attributes.headline
Newcastle - tailor to different groups. PGRs interested in different things to ECRs to more established researchers. PGRs captive audience, progammes they have to sign up to a number of modules. Metrics, responsible metrics. Harder to reach research staff - tend to get suppliers to come in a do sessions - badged as library sessions. Would like to put together some online resources -help on particular areas PDFs, videos

# data[].attributes.subject
Newcastle - tailor to different groups. PGRs interested in different things to ECRs to more established researchers. PGRs captive audience, progammes they have to sign up to a number of modules. Metrics, responsible metrics. Harder to reach research staff - tend to get suppliers to come in a do sessions - badged as library sessions. Would like to put together some online resources -help on particular areas PDFs, videos

# data[].attributes.body
Books
Mixed training sessions make addressing this issue difficult - humanities may feel demoralised - hard to manage. Embedded sessions are preferable.

# data[].attributes.headline
UCLAN - research office do most of the training. Standard offering web of science, scopus - advertised in advance. Attendance is poor, mixture of level of skill in the attendees. Offer Ask the research trainer - offer one to one training with subject librarians. Metrics currently sits with librarian for Faculty of Heath.

# data[].attributes.subject
UCLAN - research office do most of the training. Standard offering web of science, scopus - advertised in advance. Attendance is poor, mixture of level of skill in the attendees. Offer Ask the research trainer - offer one to one training with subject librarians. Metrics currently sits with librarian for Faculty of Heath.

# data[].attributes.headline
Engage them by what motivates them in the first place - making a difference/love for subject etc

# data[].attributes.subject
Engage them by what motivates them in the first place - making a difference/love for subject etc

# data[].attributes.headline
Liv School of Tropcial Medicine - no training from library. Badge sessions run by external providers. Developed videos for help. Developing online resources could be the best way to go 

# data[].attributes.subject
Liv School of Tropcial Medicine - no training from library. Badge sessions run by external providers. Developed videos for help. Developing online resources could be the best way to go 

# data[].attributes.headline
Lancaster - 2 strands. Bibliometrics academic librarians. Scival - deals with different set of questions, research support questions. REF focused. Do we need to bring the two stands together? Need to get the bigger picture   - what about things like Research Gate 

# data[].attributes.subject
Lancaster - 2 strands. Bibliometrics academic librarians. Scival - deals with different set of questions, research support questions. REF focused. Do we need to bring the two stands together? Need to get the bigger picture   - what about things like Research Gate 

# data[].attributes.headline
Provides the opportunity to review deposit workflows and systems.

# data[].attributes.subject
Provides the opportunity to review deposit workflows and systems.

# data[].attributes.headline
Most institutions don't have a dedicated person so we're all trying to learn and deliver this as part of other roles.

# data[].attributes.subject
Most institutions don't have a dedicated person so we're all trying to learn and deliver this as part of other roles.

# data[].attributes.headline
MMU - research office do metrics sessions. Do joint sessions with them. Research office so Symplectic and touch on metrics, library do more open access. 

# data[].attributes.subject
MMU - research office do metrics sessions. Do joint sessions with them. Research office so Symplectic and touch on metrics, library do more open access. 

# data[].attributes.headline
Over the next three years need to 'ramp up 'what we are doing.  Not just constrained to REF but also in a general sense.  Th library's offer matches what peole want/need

# data[].attributes.subject
Over the next three years need to 'ramp up 'what we are doing.  Not just constrained to REF but also in a general sense.  Th library's offer matches what peole want/need

# data[].attributes.headline
Manchester: good at reports across the academic depts.  Not as good at the unit of assessment level (cuts across schools.)  Need to show academic data in the framework of REF

# data[].attributes.subject
Manchester: good at reports across the academic depts.  Not as good at the unit of assessment level (cuts across schools.)  Need to show academic data in the framework of REF

# data[].attributes.headline
More work b/t 3 * 4* papers to predict what those might be (percentiles?) 

# data[].attributes.subject
More work b/t 3 * 4* papers to predict what those might be (percentiles?) 

# data[].attributes.headline
LInk impact case study to money-can improve these results with a member of staff

# data[].attributes.subject
LInk impact case study to money-can improve these results with a member of staff

# data[].attributes.headline
Salford - new people in data and scholarly comms roles - aim is to involved the wider academic support team in training. Scholarly comms person will work with academic team to develop and deliver metrics training. 

# data[].attributes.subject
Salford - new people in data and scholarly comms roles - aim is to involved the wider academic support team in training. Scholarly comms person will work with academic team to develop and deliver metrics training. 

# data[].attributes.headline
Strategic development offer-send people off to upskill, shift people around

# data[].attributes.subject
Strategic development offer-send people off to upskill, shift people around

# data[].attributes.headline
Liv School of tropical medicine - developed skills as asked specific questions rather than formal training. Been asked for help with metrics so have had to respond to this. Feel that it is something that will be on the agenda. Metrics will be key for impact - think we'll get more questions

# data[].attributes.subject
Liv School of tropical medicine - developed skills as asked specific questions rather than formal training. Been asked for help with metrics so have had to respond to this. Feel that it is something that will be on the agenda. Metrics will be key for impact - think we'll get more questions

# data[].attributes.headline
Train the trainer with people in different faculty offices-able to do analyses within certain areas.  Can struggle to keep people motivated. 

# data[].attributes.subject
Train the trainer with people in different faculty offices-able to do analyses within certain areas.  Can struggle to keep people motivated. 

# data[].attributes.headline
If no follow-up/sustained learning/series of sessions, people can easily lose their skills

# data[].attributes.subject
If no follow-up/sustained learning/series of sessions, people can easily lose their skills

# data[].attributes.headline
Certain tasks you need a specialist-within Scopus and know what you are doing and not share out too many tasks. 

# data[].attributes.subject
Certain tasks you need a specialist-within Scopus and know what you are doing and not share out too many tasks. 

# data[].attributes.headline
MIght be a case of re-organising the skill-sets of people.  Don't know who does what/less duplication, etc. 

# data[].attributes.subject
MIght be a case of re-organising the skill-sets of people.  Don't know who does what/less duplication, etc. 

# data[].attributes.headline
Need more communication across departments.  Can be tricky to get buy-in from everyone but need to keep lobbying and let them know what we do/what we are good at

# data[].attributes.subject
Need more communication across departments.  Can be tricky to get buy-in from everyone but need to keep lobbying and let them know what we do/what we are good at

# data[].attributes.headline
REF pages-this is who supports it/this is who can help you/this is good examples/these are the ethical standards that we follow

# data[].attributes.subject
REF pages-this is who supports it/this is who can help you/this is good examples/these are the ethical standards that we follow

# data[].attributes.headline
Fifteen years ago, think about all of the things that the library wasn't doing and now that they are-we are at the forefront of of things happening

# data[].attributes.subject
Fifteen years ago, think about all of the things that the library wasn't doing and now that they are-we are at the forefront of of things happening

# data[].attributes.headline
Bibliometrics don't accurately measure reach of v recent outputs

# data[].attributes.subject
Bibliometrics don't accurately measure reach of v recent outputs

# data[].attributes.body
Altmetrics can help here