If you want to improve your soccer skills right now, this video is for you. Dylan Tooby, Progressive Soccer, I'm about to show you five simple but very effective soccer skills tutorials that will actually make you play better in your next match. We're going to take a look at dribbling, ball control, passing, shooting, and even some tricks. But before we get into it, make sure you're subscribed. Please remember to like and share. When it comes to dribbling, the most important thing for me is being direct. Have purpose. Do something when the ball is at your feet. Don't be hesitant. Don't be slow. Try to drive towards net. Take up that open space with purpose. On the other side of things, you don't want to over complicate your play and take too many touches when it's not necessary. Some of you are going to look at this clip and say, I want to dribble like that. Yes, you need to have skills. You need to be creative when the ball is at your feet, but you have to do something with the ball.  Be direct with your dribbling. If the space is there, take it without hesitation. Want to be an effective dribbler, you have to develop the ability to go both directions. I'm always going to encourage you to work on both feet. Have two strong feet. But if you favor one foot more than the other, you still have to be able to go both right and left. Otherwise, you become very easy to defend and very predictable. The best dribblers dribble with a low center of gravity. They get low to the ground. Their touches are sharp. They change direction quickly. Most players, when they're on the ball, they're too upright. There's no bend in their knees. They don't get low to the ground. They can't protect the ball. They can't shield the ball. Obviously, this is very overemphasized, but this is how most players turn and dribble when you're dribbling. I want you to focus on the quality of your body movement as much as the quality of your touches. So bend your knees, be explosive with your turns. Protect the ball with your body. So my simple, but effective advice for better dribbling. Number one, be direct with your dribbling, eliminate hesitation, and do not overcomplicate your play. Number two, develop the ability to dribble in both directions. Obviously, if you can be a two-footed player, you're going to be more effective, but make sure you're able to go both right and left with confidence. And number three, focus on having a lower center of gravity. Bend your knees when you turn. Make quick, sharp cuts and explode in the opposite direction. My first tip for better ball control is what I call making visual contact with the ball. Now, this may seem silly, but most players, when they're about to control or have a first touch, don't actually watch the ball all the way to their foot. So whenever possible, watch that ball all the way to your foot to ensure that you make better contact and have a better first touch. It's also really important that whenever possible, you move quickly to get behind or underneath the ball, as opposed to lunging for your ball. This applies to receiving passes and balls in the air. Instead of lunging, putting out your foot, quickly move your body as quickly as you can to get behind the ball or underneath it. Even if you have a poor touch, you'll be on top of the ball and you'll be able to react quickly. So instead of lunging for passes or lunging to control balls out of the air, quickly move your feet, get there and focus on a good first touch. Please understand your current skill level is the direct result of the amount and quality of practice that you have put in.  If you can't hit 500 consecutive juggles, I would encourage you to juggle every day until it becomes a reality. Once you become comfortable with that, start working on other ball control techniques, becoming comfortable with all different parts of your feet and body. So to recap my advice for better ball control, number one, focus on actually making visual eye contact with the ball to your foot. Number two, instead of lunging for passes or lunging to control the ball out of the air, quickly move your feet to get there and focus on the quality of your first touch.  If you cannot hit 500 consecutive juggles right now, that is your current ball control goal. Whether it's 50 or five yards, I want you to focus on the quality of every single pass. Most people are lazy and careless when it comes to their passing. I want you to overemphasize your passing technique. Get your body over the ball, make strong foot contact, follow through to your target. Next, I want you to think about shaping your passes. It's okay to play a straight pass, but if you're always playing across your body and you're unable to curl the ball away from the defender, you're more likely to get your passes intercepted. So think about where is the defender? How can I curl it away from him? And also, how can I curl the ball into the path of my teammate to make it easier for him to control? Just like any other skill, it's very important that you're confident passing the ball with both feet. If I know you only have a right foot, you become very easy to defend. Even if you favor one foot more than the other, make sure you can play a confident pass with your weaker foot. Advice for better passing. Number one, overemphasize your technique and take pride in the quality of every single pass. Never give the ball away due to a careless or lazy pass. Number two, shape your passes away from defenders and into the path of your teammate. And number three, develop the ability to pass effectively with both feet so you're unpredictable and hard to defend. When it comes to shooting, the most important thing I want you to start with is actually having the desire to get your shots off. So many players getting good situations and they hesitate or end up passing to a teammate because they're afraid to miss. Whenever you have the opportunity, drive with purpose and get your shot off, even if it isn't the best. The biggest mistake players make when shooting is trying to hit the ball with too much power. It usually ends up in losing control of their body or making poor contact with the ball. Instead of focusing on power, focus on good technique.  You'll be surprised at how good your shots are. When you start to focus on technique rather than power. And in many situations, it's probably better for you to get your head up and place the ball. Don't rush your shots. If you have time, pick a corner, put it there with pace, but pass it into the corner rather than trying to blast the ball as hard as you can. When most players have the opportunity to score, they're actually thinking about missing rather than shooting technique. Now this seems crazy, but think about a time when you had a great goal scoring opportunity. Were you thinking about your shooting technique or instead were you thinking about missing the target, the opponent tackling you, your teammates and coach getting upset when it's time to score focus on what you can control. And that is your shooting technique. Put all the missed shots out of your mind, visualize the goal, recapping advice for better shooting. Number one, actually have the desire to shoot whenever possible and don't pass up scoring opportunities. Number two, prioritize technique over power. And whenever possible, instead of blasting as hard as you can, actually place your shots. Number three, when it's time to score, focus on scoring, not missing, visualize yourself putting the ball in the net, focus on good shooting technique. If you want to learn some freestyle tricks to impress your friends and show off a little, that's cool. It will help you improve your ball control, but do not tell yourself that this is actually making you a better player. It isn't helping you get closer to your goals. So number one, you have to focus on real match skills that are actually going to help you perform better in games and allow you to help your team win more matches. Tricks are fun. I went through a phase when I was younger of mastering these skills, but in my opinion, the best trick is putting the ball in the back of the net.


I know for a fact that these hormones work, but I was not understanding that the acute hormone response is not the same thing as a chronic elevation in that hormone. And I think that people will often hear what he says or hear what I say or hear what you say and go, oh, hormones aren't important. That's not what it's being said at all.


This is Witch Based News for Friday the 2nd of December 2022. I'm CMDR Buur. In Elite Dangerous News this week, as the Thargoid War continues to wreak devastation in the bubble, we evaluate what we're now seeing and how the community is reacting. We have the very latest information from the Thargoid frontline and how you can help effect the progress of the war. This week's F-Dev livestream features revelations from two of Update 14's architects and after much community investigation we might now know what the author is up to. You know how this bit goes, if you enjoy our stuff please do hit the thumbs up, don't forget to subscribe and ding that little bell to see all our Elite Dangerous content. You can also directly support our work by joining our Patreon, links to that and everything else are below. Community managers Bruce Carito and Arthur Tolme hosted a bumper edition of Frameshift Live this week that featured two developer interviews, both taking a deep dive into the creation and workings of Update 14 which we now know is entitled Aftermath War. Taking to the stage were two developer stream favourites, designers Tom Kuhl and Darren Hallill. Both very absorbing and fascinating interviews that revealed to the listening audience a lot about what we're now facing and how it differs from what has come previously from the Thargoids and how we deal with it. I'll go into more depth on some of those details in a moment. It's worth stating here however that the team revealed that prior Thargoid incursions have all been hand placed. What we're dealing with now is a system driven attack. To all intents and purposes a frontier created AI Thargoid Overlord is managing the war. It has goals and needs and it's now that system that we're fighting against. I don't think it's a huge surprise to anyone witnessing what is happening in the bubble right now that the caustic cauliflower have significantly upped their game. Elsewhere in the stream Frontier did acknowledge some oddities that had arisen in the background simulation system that were causing some odd unexpected influence behaviour. They have now implemented a fix but it's important to note that the BGS is a huge complex ball of very angry spaghetti and pulling on threads can often unravel another so there may well be further tweaks incoming. As part of the fix they implemented some systems away from the war were pushed back to prior states so if you're seeing sudden unexpected change that's likely the cause but all eyes are on the BGS Pastosphere nonetheless. Dropping a war into the middle of something like the BGS was always bound to deal out some splash back. Fdev also made mention of the increase in vista genomics payouts that also arrived as part of update 14. That has been dishing out monstrous payouts that not only took players by surprise but also it seems Fdev may have been somewhat shocked by them. Again that is being looked at currently so there may be some future movement in those numbers to balance things out. The next Fdev livestream is in two weeks time on the 15th of December that will be the last Frameshift Live of the year and will be the team's Christmas special. It's bound to feature lots of fun stuff, prizes, giveaways and guests etc if you want to bookmark that. The big news this week is of course the arrival of update 14 into the game and the start of what many are calling the second Thargoid War. It seems the sour salad's previous bonfires at our expense were just some prodding and poking about and what we're seeing now is Thargoids with purposeful intent. A cursory glance at update 14's opening gambits may seem like just more Thargoids but the truth is a degree more complex than anything that would be seen by the casual observer. It's also a good degree scarier and as was made painfully apparent on the livestream last night there are serious consequences to what we're seeing unfold before us currently. In the developer interviews on Frontiers livestream we were told in no uncertain terms that if players take no action at all then this will spread until it is encompassed the bubble and no pocket of human space is safe anymore. It was specifically mentioned that even Colonia is not safe from this war of annihilation. I've mentioned on this channel on numerous occasions over the last few years that should they be of such a mind to attack Colonia then there is a line of stations leading from the bubble all the way to Colonia. That line was recently reinforced and made more dense with human owned assets when the Colonia bridge project was completed. It's all now but confirmed should the bubble fall then Colonia will be next. We made a video during the week that explains how you can get involved in the war effort and make a difference even if AX combat is not your thing. Whilst obviously killing Thargoids is a significant tool in our arsenal to push them back like any conflict, logistics and the evacuation of civilians has a large part to play in the successful persecution of a campaign. We got some more granular insight into the ethos of the new elite dangerous warfare metagame in last night's interviews. We are only just starting to learn what the new system states that the Thargoids are inflicting on the bubble mean over and above their more obvious system situational meanings. As I've mentioned AX combat will always have value but there is a level of subtlety that was explained last night by Darren Halil to for example the timings of evacuation and logistics supply missions that makes them more valuable to players in the overall war simulation. The specific example Darren gave mentioned evacuation missions from a system that is in a state of Thargoid alert where Thargoids are being detected but not yet attacking and how evacuation at this stage could be considered pre-emptive. When a station is under Thargoid attack however there is a larger degree of validity to evacuating refugees from an actual active war zone and the simulation will attribute more value to that action as a result. And just like any BGS state in Elite Dangerous the more missions lending positive actions a system sees the more likely it is to change to a positive state in this instance helping drive back the Thargoids. We mentioned in our first video earlier in the week about the new system states the game has introduced to support the new gameplay those states being Thargoid Alert, Thargoid Invasion, Thargoid Controlled, Thargoid Maelstrom and Post Thargoid Recovery. As the invasion has moved on we are learning more about those system states and there's now mounting evidence to suggest that the new non-combative Thargoid interceptor that Aftermath War has reintroduced the Orthrus is intrinsically linked to one of those system states. We've received multiple reports from across the community in the last few days reporting that the Orthrus interceptor can be found in threat level 4 signal sources in systems marked as under Thargoid Alert. That's a system that is under threat of attack but not yet subject to full on assault. All evidence so far at least seems to suggest that the Orthrus is a Thargoid Reconnaissance Asset. When the signal sources are dropped into they contain a Thargoid Probe. Within a few seconds of a commander arriving an Orthrus will drop in and recover the probe which has it seems been surveying the system as a target for possible invasion. Given what we know about positive actions in this war it seems logical that at the very least denying the Thargoids access to the intelligence they're gathering via these probes by either destroying them or stealing them before the Orthrus can scoop them up would seem the way to go in order to help prevent a system falling under attack. Please be aware that whilst the Orthrus is non combative it does leave a caustic wake behind it and it will call in assistance if it detects you. However and this is important it was revealed on the live stream last night that the Orthrus eye sight is extremely laser focused. It doesn't have good if any peripheral vision so where possible avoid approaching it head on. Also unlike other Thargoid attack craft it is nowhere near as fast or manoeuvrable as it's combat bred sisters. Run cold and run fast and you should be able to get back into supercruise and make good your escape if execution of the foul beast is not your plan. We started this week with the arrival of one Maelstrom. When it landed it felt like a nuke on a summer picnic. The devastation the arrival brought stretched across multiple systems that are now under threat under direct attack or completely lost to the Thargoid advance. Since day one two more Thargoid Maelstroms have been deployed. As of this recording eight systems are under Thargoid alert and vulnerable to attack 25 systems are currently enduring Thargoid invasion and 50 systems have already been lost.  Right now the front line stretches across over 192 light years and encompasses thousands of star systems. Those star systems are being devastated without discrimination. We speculated earlier this week that player factions may not be safe and that is absolutely the case. The Thargoid war machine doesn't care for allegiances or boundaries. There have been a number of player factions this week that have woken up to find parts of their territory in flames. We are all now in the same fight but there is a fight and it's on multiple fronts and the community whilst undoubtedly shell shocked is mobilising. The forces of the anti-zeno initiative have started publishing and prioritising targets to focus the entire community's efforts to make any pushback more effective. The pilots of the post disaster evacuation service have likewise mobilised and started issuing emergency evacuation orders and the mighty hauling behemoth that is Operation Ida has creaked into life again and is moving logistics and emergency supplies to where they are most needed. What Frontier has done with Aftermath War is unlike anything I have personally experienced in an online game. They have taken the established equilibrium and in one fail swoop turned it completely on its head. This is an evolving, expanding, panic inducing, emergent war scenario in a one to one scale recreation of the Milky Way. It's already innovative and it's incredibly bold and it's only just beginning. There are still five more maelstroms en route that are likely to hit the bubble in the next few weeks. What happens next is very much up to us. How have you reacted to the encroaching Thargoid aggression? Has your own faction been affected? Are you hunting the authorists investigating a maelstrom or evacuating refugees? Let us know in the comments below. That's it for now. Thanks very much for watching. We'll be back later this week with more videos. Until then, 07 Commanders, follow the Greens on the way out and do keep clear of the toast rack. We very much look forward to seeing you next time.


Ask more questions, remain perpetually dissatisfied, try something new no matter what they say. More questions will lead to more helpful questions, and more helpful questions will take you to places you never knew existed. Perpetual dissatisfaction will propel you forward, priming you for what's next, rather than lulling you to sleep with what's now. People will always critique the new, and sometimes rightfully so, but this new endeavor is necessary, not because it might work, but simply because you try.


Nancy is working at CORE in the United Kingdom as open access aggregation officer and she is involved in two very interesting projects about open access and open science like foster and open-minded. Before we properly start, I would like to remind you that you can type whatever question you have in the chat or go to menti.com using the code 489563. I'm just typing it in the chat again for your convenience and ask your question in a totally anonymous way in case you are you feel shy about asking questions directly. We already collected a few questions on Mentimeter so before asking Nancy to answer them, I would like to also remind you that we are going to have a full webinar with open-minded tomorrow at 2 p.m. with Nancy again and you are much more welcome to join it. Nancy, would you like to introduce briefly what are the main topics for the webinar tomorrow? Ilaria, I think that I don't have a webinar tomorrow, not an open-minded. Oh, God. There is one but I don't think it's Ilaria who is going to present it. Okay, because I was a little bit confused. Okay, that's my fault so sorry everybody, there's going to be a webinar tomorrow about open-minded with Nancy. But on my presentation on text and data mining and machinery stability which I have done already and it's already recorded, I present the work that we did in the open-minded project and because the open-minded project was a very technical project in part of it, what I presented was the part that was not technical and the work that we did for librarians and this support administrative stuff. So if the people want to find out more about this, before they watch tomorrow's webinar so that they get the full picture, I think that it would be good if they haven't done so already to go back and watch the webinar that I gave on TDM and machinery stability and then they can also come tomorrow on your webinar tomorrow. Okay, thanks Nancy and apologies all for messing up but it's a very hard week this week with all these webinars. So I'm putting the recordings of the webinar that Nancy already recorded about text and data mining and machinery stability of open-access research in the chat and please remember that this webinar, well this tutorial has been already recorded and it's available on the page collecting information about the open-access week on the open-air website. Okay, so just to kick-start this question and answer session, I will share my screen for you Nancy to read the questions that have already been asked. Alright. Okay, are you able to see anything? Yes, I am. Okay, so the floor is yours. So the question is, is text and data mining something a librarian, not IT, skilled person can approach? And that is a very good question and before I answer this question let me tell you that I am not an IT skilled person. I am a librarian, my undergraduate degree is purely in library science and in the past I have worked in libraries both as a simple librarian dealing with the day-to-day aspects of a library and after my PhD I moved and I became a repository manager but I was located in a library. So I'm not a technical person and I don't approach text and data mining from an IT point of view and that said the IT point of view or the technical point of view is only one aspect of text and data mining and maybe this can be difficult if you are not familiar with the technical components of text and data mining and I don't expect and I think that no one does we don't expect all librarians out of the sudden to start studying let's say computer science or in a magic way to start developing technical skills but nonetheless there are other components of text and data mining and one of those are the legal components around it and as far as I can tell best from my experience as a former librarian but also from my librarian colleagues that I have seen throughout the years is that librarians are the ones who know the law well and they know the copyright law very well and they know how to interpret the copyright law so the legal aspects of text and data mining relate to the copyright laws and to the fact that when an output is accessible for people to read is not equally accessible for machines to read and those are the small tricks of the copyright law that librarians know very well how to use and the other component that relates a lot to the legal stuff and moves us also to the practical organizational policies stuff is that librarians are the ones who in the past have pointed those parts of the organization or those parts in the law that create a barrier in the promotion and engagement of the user with a specific practice or with a specific tool so that is the second part that libraries could get and librarians and the research support administrators in general could be involved with and those are the policies for example that funders or big organizations create and librarians and repository and pardon and research support staff what can do is that they can discuss with those people and provide feedback and comments on those limitations on those difficult areas where one practice cannot be applied and push for a change in the system for example here in the UK people who are not from the UK may not be aware but very recently we have an exception in the copyright law for TDM practices and the law says that everyone that has a lawful right to the content let's say that a person is affiliated with an academic institution like a university if the university subscribes to the resources of a single publisher or from many publishers and the person has lawful right to access those resources then the person can practice text and data mining without having to make single agreements per publisher so this is an exception for the UK in the law but those who support the practice of text and data mining can push for similar exceptions in the laws per country and something similar we also see that the European Union is also going towards a more free and open law that is going to enable text and data mining for research purposes only pardon I'm feeling a little bit under the weather lately and the last thing that I wanted to point out is that it is the librarians or the people who are doing research support not necessarily have a library degree but work in a similar environment is that those people in the past have been doing the training for all the new trends that come up in the past it used to be information literacy and then it used to be open access and then further on maybe it used to be research data management or they also provide training on other tools that researchers or students use such as the citation system tools and deposits for example in a repository and in a similar way what libraries can do is that they create training at text and data mining now you may think oh a librarian is not a technical person so how is the librarian going to be in position to create training on text and data mining again this doesn't have to be a technical training you can leave a technical training to a person who has technical skills maybe this needs to be at a departmental level because taking into consideration that not all your students or researchers will need to know the technical parts of text and data mining but what they may need to know is for example resources where they can go and collect text and data collect a large corpus of information for text and data mining purposes or for example a student, a PhD student that you may have in your team or a researcher in history perhaps this person doesn't have the skills to perform text and data mining but it would be good for this person to know that there are text and data mining practices out there and these text and data mining practices have certain benefits in the discovery of knowledge and information that could be useful to them and to back up what I am saying for example is that the MIT libraries and I'm going to paste the note in the chat area and I think that I will do it correctly so I'm sharing a link in the chat area this is a very simple page from the MIT library pages which lists the APIs that come from organizations, institutions or services that have scholarly communications content so workshops and trainings do not have to be necessarily technically but they can be also but they can be around the organizational stuff about text and data mining about the policies stuff about text and data mining and about the legal stuff around text and data mining and don't take it for granted that even the IT skilled persons who perform text and data mining are familiar with the legal stuff around text and data mining after my experience I had with the open-minded project we realized that there are people who perform text and data mining without being 100% sure that they could do it, that they were doing this without infringing any part of copyright and we've also seen cases where people wanted to perform text and data mining but they wouldn't do it in the end because again they were not quite sure about the legal issues around the text that they wanted to work with so I think that there is room for libraries and not IT skilled persons to work around the subject of text and data mining Thanks Nancy, it's good to know that libraries can play a relevant role in a wider area than libraries themselves That's very interesting. Next question is about what are the practical uses of TBM? In my mind and I will say this because I do not come from a company and because my focus and my interest in text and data mining is more applying text and data mining to open access content because nowadays we are in a position to say that there is lots of open access content out there I will briefly say what are the practical uses of the business side of you and I'm not going to explore this further but I will focus more on the research point of view and on the content that we can use that already is open access Sorry, but before I say that I would like to say that from the business point of view there are a lot of things that can happen that relate to knowledge management for example or can relate to cyber crime prevention or there are a lot of text and data mining companies or businesses that do those, there are a lot of businesses that do text and data mining practices in order to help their customers For example we all go to supermarkets and the vast majority of them now they have those supermarket loyalty cards that every time you buy something you have to scan your cards One of the reasons that these cards exist is because these cards are the background they collect information about your shopping habits and then the supermarket is going to be able to help you with your future needs and that's why whenever you get this card this card comes in with like, it is glued on a piece of paper and there are like tiny little letters at the back of the paper that pretty much none of us reads because this is what they say they say that they're going to collect information from your shopping activities and habits so that they can formulate services for the users and also text and data mining is used a lot in the web searches and all major web browser search engines are used text and data mining In general for text and data mining to be a successful practice the people who perform text and data mining they need a very large corpus of data or text or whatever that may be and this is why text and data mining is more successful when the corpus of information is very large so that is one point to have in mind and the other point to have in mind which brings me back to the researcher point of view is that not everything, do not take for granted that everything that people's eyes can read, machines can read as well and I have developed this very well in the webinar that I gave a couple of weeks ago that is already on YouTube and you can watch so from the non-business point of view but from the researcher, scholarly communications and scholarly outputs point of view I need to have two prerequisites in mind the first one is the large corpus and the second one is an open license and that is what makes the use of an open license very important because currently, especially with the repositories there is a lot of contact with the repositories where a user can go in and download or maybe read but this doesn't necessarily mean that machines can do the same thing or this doesn't necessarily mean that people can use for text and data mining purposes but from the scholarly communications point of view which was also the focus of the open-minded project one of the practical issues of TDM is for example mining bibliographic data and that is something that happens a lot with the data that we have in the project that I am currently working on which is CORE is an aggregator, a harvester of open access content and it harvests repositories and journals both pure open access journals but also hybrid gold open access journals and then we have all this information we give all this information out to the end user for free via our API and then users can get in there and they can get bibliographic data for specific topics that they are interested in and users can also conduct the practice of what is called in TDM as sentiment analysis now I know that I am using a little bit of jargon and as I said earlier I am not a technical person so I am not going to tell you how sentiment analysis can be done I am not familiar on how sentiment analysis is performed but what I can tell you is that with sentiment analysis for example someone can understand the meaning of the papers is this positive or is this negative for example when there is one paper in the medical subject field which has a very large number of citations and people may think oh that is a very good paper because the citations are very large but nonetheless this has a very big number of citations because those are negative citations people cite this paper on their literature to indicate that something negative was and wrongly was discovered and they want for example in the area where it says be careful don't do those things they want to say don't do those things that this x paper has done so with sentiment analysis not only people are able to find the meaning of the papers but they are able to find also if there is like a positive meaning or a negative meaning and because the corpus of the information that we have today it's so large that people even though if they were reading the papers 24-7 and if we have said that for some weird reason they can digest all this information and make the connections which is not humanly possible then they wouldn't be able to find all this information for example another part like practical issue of text and data mining is what we call document summarization and by this you can understand there are techniques where someone can quickly find out which are the main concepts in a document so to go back to the history an example that I gave earlier so let's say that there is a research researcher or a PhD student in history and is not aware of text and data mining if this researcher or a PhD student learns about text and data mining then can have someone else who is an IT person to perform for example document summarization and mainly provide the concepts of the documents and then this technique is going to be able to find out from thousands of papers which hundreds of papers are useful for the researcher or the PhD student and then there are also other techniques so that those papers can be narrowed down to the correct papers that the researcher needs and maybe you will think well yes but we have those databases where we search like ProQuest and EBSCO and all those things but bear in mind that those databases they have certain fields they perform searches either on the title or the text or in the abstract without necessarily performing those practices of text and data mining and those who want to who are not IT who don't feel that have technical skills but nonetheless would like to see a little bit of how text and data mining practices and different practical issues are being performed in the course that we created for the open-minded project we tried to create some exercises which were not technical and we give also instruction on how people can perform those exercises and we use the core API a limited volume of the core API so that we show what are the possibilities around text and data mining in a way that it's going to be useful to those who are not technical so you can go into the course and I'm trying to find the URL right now and you can go into the course and you can try to the technical part I will paste the link now here in the chat you can try the technical part and I hope that you are going to enjoy it Thank you very much Nancy for the participants I would like to remind you that this webinar has been recorded and the links that Nancy is putting in the chat are going to be available on the OpenAir portal together with the recordings and the tutorials she has already recorded There are two more questions so this one you can see on Mentimeter Do you have any examples of TDM in humanities and social sciences have difficulties convincing my HSS colleagues that this is important? That's a very good question I wish I had this question yesterday because by now I would have found something I am afraid that I don't have something but this person who has asked this question can you please send either me or Ilaria an email and I will try to find information and send it to you because I don't have something right now on the top of my card but I know that I have seen something but I cannot locate it right now Yeah I think it's feasible so please anyone who raised this question you can I am going to write my email address and I am also putting the OpenAir contact email for the webinars to address this question Okay thanks So there is another long question by Garrett and Nancy I suggest that you read it directly from the chat Okay It starts from Yeah exactly So your usability Okay so Gareth poses a very good question and the question is not so much about text and content but it's about research data and this is what makes research data more difficult than open access In general I am not like an expert in research data because I got involved in this open movement earlier on when research data was not so much the norm and I got involved more on open access I am kind of lucky that I was involved more on open access because research data is more difficult to moan and deal with Now I see also that there is another comment that says this applies to all content types research papers So for research papers the license needs to be open not only for people but also for machines and the same applies for research data Now the difficulty with research data is that they appear in various forms that perhaps further work needs to be done so that the data is ready for text and data mining So that is one thing Now with regards to the preservation this is another important thing and especially based on the fact that policies do not necessarily talk about openness of research data but they talk about having the metadata of the research data in a field, in an environment most of these cases this is going to be a repository which describes the data first and second describes the license of the data and then those who are interested in getting access into the data then they would have for example to ask the data owner whether the data owner can give access to the data or if the data owner would allow the practice of text and data mining depending on what the person that needs to do if this is allowed because there are a lot of ethical and legal issues around research data Now from what I think is that there are difficulties with research data in relation to the fair component and I do not feel that we are already over there and there is still a lot of work that needs to be done from both sides excuse me there is still a lot that needs to be done from both sides both from the academic side and or from the organization who maintains and keeps the repository and from the other side on educating those who own this data on how to prepare this data so that they can be fair and they can be machine readable Thanks Nancy for the exhaustive reply I hope this answers to your question Garrett Is there any other curiosity or question from the audience Are you familiar already familiar with TDM or is this the first time you have a question from Nancy What is the most strange question that people usually ask you about TDM Oh the most strange TDM is kind of a mysterious thing for most of the people even dealing with open science and open access I'm just wondering what is the strangest question I think that we don't have strange questions The question that comes up in everyone's mind is the question that also was the first question in this webinar which was I am not an IT person, I don't have skills why is text and data mining for me or what can I do with text and data mining I think that this is the most common question that I hear and I cannot say that I have had weird questions maybe because and that's my interpretation it feels that there may be either those who know because people on computer science or other fields that are more technical are familiar with text and data mining and it's not like a brand new thing Now as technology involves the field on its own involves as well but I think that very lately since the European Union has decided to add text and data mining into its agenda because it realized the benefits of text and data mining that now we start talking to other people from other subject fields about this So I don't think that I don't remember that I've had like a strange question about this. Ok so maybe the most strangest one was where I've been answered You still have some time to ask questions if you want from the audience If not, I would like to thank Nancy a lot for your very very interesting webinar the one you recorded and also for taking the time today to be here with us and reply to these questions and ok as I said the recording of this webinar will be available next week and thank you all Thanks a lot Thanks again Bye bye Bye